Data Project

Location:

India

Posted:

May 17, 2018

Contact this candidate

Resume:

* * * * * Certified Big Data Developer

* * ******** ********** ******* of Anirban Das

Career Précis :

Total 15.8 years exp.in a fast-paced and highly matrixed environment – On Enterprise IT Application & practice development, COE-open source, Big Data Engg. & Analytics delivery excellence I solution definition I revenue generation and account growth Tech Lead/ Architect

Individual Contributor

Consulting & Solution Delivery

Industrial

Automati

on, Data

Acquisitio

n, SCADA,

PLC prog.

SAP,BIW,

EDW,

Enterprise

App, BI

Business

Informati

Managem

ent,

Analytics

BI,Big

Data, Data

Analytics,

Advance

Analytics

Tech Lead/ Architect 2.5 6 4.3 4.3

Individual Contributor 3 5.2 2.4 5.6

Consulting & Solution Delivery 3.5 3.7 3 4.3

2.5

4.3 4.3

5.2

2.4

5.6

3.5

3.7

4.3

TECHNICAL ROLES/KPIS DEFINED

EXP IN NO. OF YEARS

TECHNOLOGY DOMAIN DIMENSIONS

A Glimpse : Role distribution across my career span Tech Lead/ Architect Individual Contributor Consulting & Solution Delivery 2 P a g e Certified big data developer I +91-990******* 2

Competence Profile: Anirban Das Certified Data Storage Specialist – Anirban Das

Present key working Skills on Digital &

Data transformation with Adv.Analytics :

Envision, lead and execute POT/POC/MVP

Using extended team.

BI, Big Data modelling with MapR Hadoop

distribution I Advance Analytics with Python

ML-library toolkits

Technology Domain :

EDW I Digital Tr., BI, Big Data Analytics I

Applied Statistical Data Modeling I Cloud

Compute, Network & Storage I Data

Storage & CDP

Industry Vertical :

Clinical Research & Healthcare I Retail

Store I Telecom & Networking I

Hospitality I Oil & Gas I IMS I Energy &

Utilities I Investment Banking I Infra,

buliding, Environment & Water Engineering

I Infrastructure Control Asessment I Cyber

Security & Tech Controls (CTC)

Pedagogical Performance

MBA, BEE (JU), M.Tech-CS, AMIE, C. Engg.

Pursuing PhD ( on BD & advance analytics)

Chartered. Engg.(IEI), Govt. of India

Certifications :

Prologue

MapR Big Data Developer-CDP

Data Science with

Python

COURSERA SAP 4.7

Spark 1.6

Cassandra

MapR

Certified

Spark

Developer

ANIRBAN, an astute professional brings with his

execution focused IT solution development experience, entrepreneurial outlook & energy, interdisciplinary educational & extensive senior management experience with a remarkable ability to combine visionary

leadership, business acumen, and strong execution in building and managing successful consulting

organizations.

He has spent significant time working with key

customers across the globe & brings in extensive

experience in area of Data engineering/EDW, Analytics through applied statistics, Business Intelligence (BI) and Information Management.

Key Performance Area/Forte:

Attract, influence, develop and lead a high performing and engaged team with

Camaraderie

Data Analytics Practice Objective:

-‘Torture the data, it will confess anything-‘

Clientele from: EMEA, MENA, GCC, APAC, US

USA I UK I Germany I Australia I Singapore Malaysia I India I KSA I Belgium

Employment Chronicle:

SIEMENS LTD. I Invensys plc. UK IElectronik Systeme LAUER GmbH IGermany I IKF TECHNOLOGIES LTD. Inc.USA I Elecom Software, USA I KPMG, SIDF, KSA I REBACA Analytics Inc., USA I KPMG Global,

Press Publication: Success Story by THE TELEGRAPH

The Indian Express, Mumbai

The Economic Times

Present Organization:

ARCADIS Consulting Inc., USA www.arcadis.com

In the capacity of:

Principal Architect- Big Data, BI & Analytics

Solution, Consulting & Delivery

Global Excellence Center

Location: Bangalore

M: +91-990******* I E : *******.*****@*****.***

Skype : anirban.das8

3 P a g e Certified big data developer I +91-990******* 3

Competence Profile: Anirban Das Certified Data Storage Specialist – To work with a companionable growth oriented Data Analytics organization having affable work ethnicity, coherent techno work environment while dedicating and committing to the entrusted responsibility through industrious and creative aptitude to propel my organization to newer frontier of augmentation and excellence Prime focus on getting excellence in Big Data, BI & Data Analytics arena in the capacity of Big Data solution architect

Contemporary Status

Rel. Exp. in Digital transformation & Dat Engg. with BI & Analytics : Out of Total 15.9 years in IT 5.7 yrs in BI, SCADA, RPA, Virtual Reality, Big Data Analytics, Machine learning, Data Storage, Protection/Security

Current Position : Principal Architect/Practice Head- Big Data Analytics (CSD) Lead Global Excellence Center, Digital & Data Analytics ARCADIS Consulting Inc., Atlanta, USA

Current location : Bangalore, India

Locational preference : Can relocate

As Visiting Faculty : Indian Institute of Management -Kolkata, (fr MDP); SMU Scholastic Performance: Academia Dossier

Career Annals (Working Company Silhouette) : A digital journey Job Location Organization Last Designation Timeline Germany, India, Nepal, Riyadh SIEMENS Technology Services

(IKF GmbH Payroll) ( MNC)

Sr. Application Engineer- Data

Acquisition, SCADA, PLC

2002, Aug- Sep 2006

Germany, USA, India, Singapore

IKF Technologies Ltd. ( NSE, BSE

Stock Listed), USA ( MNC)

Global Solution Head- Big Data,

EDW, BI

2002, July- October, 2015

Santa Clara, USA, Dubai, Singapore

Rebaca Analytics Inc., USA (MNC)

VP- Big Data, BI & Analytics

Cosulting & Solution Delivery

Nov., 2015- April 2017

Atlanta, USA, Bangalore Arcadis Consulting Inc., USA(MNC) Netherland based, Stock Listed

Sr. Technical Architect- Digital &

Data Science ( AD, Grade-4)

May, 2017- Nov., 2017

Singapore, India, Dubai

Hewlett & Packard Enterprise(HP)

And IKF Technologies Ltd. (MNC)

Consultant Architect (

Independent) – Big Data Engg &

Data Science

Dec., 2017- Present

SIEMENS, Schneider Electric & Beijer Electronics under the payroll of IKF TECHNOLOGIES GmbH (2002-2015) .IKF Technologies ltd., is a luxemberg & NSE listed organization. Worked with Infogemglobal Inc., USA ( a subsidiary of IKF USA) BEE - 2002

From Jadavpur

University,Five Star

Accredited Govt.

Univ.)

MTech- Computer

Science

2014

Karnataka University

MBA - Systems

2006

International Institute of

Management Sciences

Chartered Engineering-

Institute of Engineering,

2005

Govt. of India

Pursuing PhD

Critical Big Data App

framework with data

science

Milestone

4 P a g e Certified big data developer I +91-990******* 4

Competence Profile: Anirban Das Certified Data Storage Specialist – A _Glimpse: Skill sets

Programmable Logic Controller Allen Bradley, Siemens, Delta, Messung, Mitsubishi, Toshiba, Schneider, Beijer, ABB

PLC Programming Language Ladder Logic, STL, FBD

SCADA ( Data Acquisition) WinCC, Citect, RSView, Wonderware, Intouch, Cimplicity, GE iFix, LAUER- WOP, BEIJER GmbH

Operating System Windows 2000/XP/VISTA/7, Redhat Linux, CentOS, Ubuntu 14.0/15.0 HMI/MMI (Man Machine

Interface)/Touchpad

LAUER WOP, BeijeriMX, Siemens, Delta, Messung, Mitsubishi, Toshiba, Schneider, ABB

Drives ( VFD-AC/DC) Parker, Rockwell, Siemens, Delta, Messung, Mitsubishi, Toshiba, Schneider, Beijer, Baldor, ABB, PARKER (584SV, 620V, 650V, 605C, 690+ Vers BALDOR, LG (iG 5),YASKAWA (616G5), CUTES, DELTA (VFD-A) Drive Programming Software Windows based ConfigED Lite+, CELite 5& 6, LINK Tools GPIB/Data Communication RS232, 422, Ethernet, Modbus, Profibus-DP, Canbus, Interbus, AS31 Scripting & Programming Language JavaScript 1.8.5, Core Java 1.7/1.8, Python 3.5++ Database, SQL/No-SQL Oracle 8i/11i ;SQL SERVER 2008; My SQL, Hbase 5.8, MapR DB, Mongo Reporting tools Crystal Report, i-Report, Spago BI 2.3.0, Jaspersoft 6.3 IDE Eclipse; Dreamweaver; Pycharm (JetBrains), IntelliJ 2017.3.2 Application Server Tomcat Apache 2.2/2.4

Ingestion Tool Kafka 0.9.1, Sqoop 1.4.6 ++, Talend with Big Data 6.0 Orchestration & Scheduler Zookeeper 3.4.8, OOZIE 4.1.0 Data Storage Solution/Data

Analytics/Data Visualization/ETL

TSM (IBM Tivoli Storage Manager ) 5.3/5.4, CDP

(HCL Infosystems Ltd.), Pentaho 7.0, Open source BI- Spago 2.3.0, Jaspersoft(TIBCO) 6.3, Power BI ( 2016/17), Logstash 6.1, KNIME 3.1.2 Big Data Technologies/ Data

Analytics with Data Science

Hadoop Framework (2.1.7) with Map-Reduce, HBASE 5.8, HDFS, Pig 0.15, Hive 1.2.1, Python 3.5, and shell scripting, Spark SQL & Spark core ( 1.6.1 Spark Streaming (Dstreams) with scala (2.11.7); Machine Learning (SVN,ANN, K-Means), Time series, Regression, with Ensemble learning, ElasticlogstashKibana 5.0.0 & MapR CDP 5.0,6.0 CLOUDERA 5.3.3 with Cloudera Manager 5.3.3 & HUE 3.12, MCS 5.0 Abstract / Crux of experience on BIG DATA technologies with advanced analytics Hadoop/Spark/ELK Stack

• In-depth working knowledge of Hadoop-Spark

architecture and admin,support & Linux system

administrator

• Experience with terabyte or larger size

unstructured & poly-structured data sets in Json,

.txt,.Csv,ASCII, Avro, XML

• Proficient in Hadoop ecosystem with Map-Reduce,

HBASE 5.8, HDFS, Pig 0.15 or Hive 1.2.1, and shell scripting; loaded the dataset into PIG environment for ETL (Extract, Transform and Load) purpose using PIG Latin Script. The processed results from Map

Reduce programs are stored into HIVE in the form

of tables for further analysis.

• Expert understanding of ETL, ELT principles and how to apply them within Hadoop distribution

• Coding/scripting validation ability in Java 1.7, 1.8, python 3.5++, Scala 2.10.6 onwards (for SPARK Core, SparkSQL)

• Experienced with linux system monitoring &

analysis. Good understanding of distributed computing environments

• Exposure to Virtualization (VMware), VPC & Cloud - AWS - EC2, S3, EBS, EMR

• Experience with Map-R Converged Data Platform

5.1 & 6.0 with MCS (MapR control system)

Atlassian JIRA 7.2, Confluence 5.10, Agile

methdology with SCRUM

0 P a g e *******.*****@*****.*** I Skype : anirban.das8 I +91-990******* 0 A Succinct Competence Profile of Anirban Das

Project Snapshots - On IoT, BI, Big Data Analytics & Applied Stat modelling

# Project : Gas Consumption forecasting & descriptive analytics on raw ingested smart/analog & BLE sensors data through IoT framework ( device, network & application layer) & CDMA Client /Solution Owner :

Air Liquidie, Singapore

Duration: Nov.2015 - Present I

IoT Data ingestion & Analytics framework implementation with CDMA(Continuous data monitoring & Analysis) from derivative stage

Service Delivery Model : Hybrid - Onshore & Offshore

Role : Lead Solution & Tech Architect – Digital Transformation

Technology Domain Used :

IoT, Big Data Engg., ETL, BI, Advance Analytics with Statistical modelling (TS)

Consulting Orgn. : ARCADIS, USA

Industry Vertical : Oil & Gas

Project Location : Singapore

Technology Stack/Deployment

R 3.2.1 (GNU package), IDE-R-studio, D3.js, HTML5 (front end), Python 3.5, R-Forecast Package: ARIMA, Holtwinter, Archive Network – CRAN, Unit Root Tests – augmented Dickey–Fuller test (ADF), Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, nDiff, Diff . R-Shiny Pro(on Premise) with Elastic Search 6.0 as TS datastore cluster,TSDB 2.2 & InfluxDB+Grafana 4.0, Rasberry Pi3B, Rasbian OS, ESP8266 MC Cloud : ThingsBoard 1.3 ; Message Protocol MQTT 5.0, REST on http Role Description

Complete understanding of raw sensor data, data exchange format, storing & processing while prepared expectation criteria from the client.

Clean and prepare stationary data to fit the TS model with unwavering accuracy from device layer to application layer.

Used necessary hypothesis to figure out best time series model in R.

Defined Lamda architechture with Tableau,Grafana,D3.js. R-shiny for data

Rendering through a distributed VPC computing platform. Project Details/ Project Overview

Forecasting of gas consumption for various industrial customers using last 2 years historical TS records of per hour gas consumption. ARIMA and Holt-Winter are two different time series forecasting methods have been used for forecasting of next 6 hours (with minute level TS data), 6 days &3 months consumption.

All data are in ASCII format of data which was pushed to lamda data processing framework/Architechture. CDMA & stat modelling for deriving impactful KPIs from hindsight to insight to foresight through a compelling UI/UX.

Project : Infrastructure Control Assessment(ICA), Analytics of security data from UTM (Unified Threat Mgmt) Consulting Organization : ARCADIS Inc, USA Duration : August 2016 Industry Vertical : Healthcare, Infrastructure Mgmt Service Solution Owner : GlaxoSmithkline, USA I Toga Network, USA Role : Solution & Delivery lead

Project Location : Atlanta, USA Service Del. Model : Offshore Project Overview: Infrastructure Control Assessment (ICA) Technology Domain: ETL, Big Data Engg. & BI SPAM analysis to ensure that emails always reach their target. By doing accurate spam analysis GSK can automate email authentication. Users can send emails from any domain and protect from spam sites. Spam anomalies analyze the following stats:

Email header: where the spam starts, spam domain, Return-path, Received tags, X-IP tag, X-UIDL of spam mail. Spam mail stats from penalized/banned sites/portals, Referrer spam stats, disavowing spam link stats Security threats/DDOS attacks analysis. Assess network vulnerabilities and risks Technology Stack : ELK –ElasticSearch-LogStash-Kibana 5.1.1, Java 1.8, D3.js,AngularJS/JQuery, HTML5, Bootstrap 1 P a g e certified big data developer I +91-990******* 1 Competence Profile: Anirban Das Certified Data Storage Specialist– Co-Product Development ( Big Data, BI, ML) :

Analytical tool: Root Cause Analysis (RCA) Tool (COE Initiative) RCA is a tool for making automated Root Cause Analysis against error conditions reported by application logs from the different components in an enterprise

application ecosystem. The tool uses the Elastic Stack

(ELK) to derive its intelligence by correlating and analyzing the different logs along with system health KCIs based on timestamp driven pattern recognition and introspection rules executed by a C# based

middleware component.

Rules against error and anomalies to provide

recommendations

• Use of packages across a segment of a network /

Seasonal behavior of a subscriber base and individual subscriber

• Usage pattern based on time of day / Production error due to incorrect system configuration or sizing

• Error caused due to faulty system hardware

components

• Error caused due to incorrect behavior of 3rd party components

• Remedial recommendations against error conditions Implementation:

The RCA server consumes data pushed into Elastic

Search by Log-Stash and executes a multithreaded

sequential workflow of correlating the data followed by execution of the configured rules and extracting the relevant preconfigured recommendations.

Case Study URL :

https://www.rebaca.com/whatwedo-domain-big-data/

CISCO Testimonial :

https://www.rebaca.com/client/alldigital/

Implementation for: CISCO, ERICSSON

Big Data Framework Development with Lamda Architechture: Analytics framework: Customized BIG data Framework for Streaming Data Analytics (COE Initiative) The objective is to create advanced analytics on data ingested using Kafka-Spark-Cassandra framework

prepared for handling un-structured streaming & batch data from disparate data-sources.

Implementation:

Input data is received either through REST call or streamed to Kafka topics and the Spark-Cassandra

Framework, through Kafka subscription, receives the data. Then different ETL procedures and data

processing are applied to the ingested data. Both the processed and the raw ingested data is saved to the Cassandra DB for further data modeling and

visualization. The raw ingested or semi-processed data is also used for training purposes using different machine learning algorithms (in-built Spark MLlib / Other algorithms).

Case Study URL: https://www.rebaca.com/whatwedo-

domain-big-data/

Implementation for: Empirix Inc., USA, ALEF

Mobitech, USA

Technology Stack

•Elastic Search 6.0, Log-Stash, Kibana, Java 1.8,

Angular-JS/JQuery, Bootstrap, MapR Hadoop

Distribution 5.2, OJAI, MapR DB (Json & Binary

Table with Habse API)

Technology Stack

•Java 1.8, Apache Spark 2.0, Apache Kafka 2.0,

Apache Cassandra 3.0and D3.js, and MapR

Hadoop Distribution 5.2

1 P a g e certified big data developer I +91-990******* 1 Competence Profile: Anirban Das Certified Data Storage Specialist–

# Project : Critical Big Data Application framework (CAF) for Cyber Security & Technology Controls(CTC) Client /Solution Owner :

RO, Cyber Security Control, Govt. of

India, Delhi, Head Quarter

Duration: Nov.2017 - Present I

Sensor Data ingestion with MapR Hadoop big data framework with EDA through BI & custom application interface

Service Delivery Model : On premise implementation

Role : Lead Data & Tech Architect

Technology Domain Used :

IoT, Big Data Engg., ETL, BI, Advance Analytics with Statistical modelling (TS)

Consulting Orgn. : HP Enterprise

Industry Vertical : Cyber Security

Project Location : Delhi, GOI

Technology Stack/Deployment

MapR Hadoop Distribution 6.0, MapR FS, MapR DB ( Hbase API), OJAI, Talend with Big data (using Spark) studio, D3.js, Elastic Search 6.0, HTML5 (front end), Tableau, SparkR 2.1, SparkMLlib, TIKA Library Spark 2.0, Kibana, NER, NLP with python, Time Series modelling with R Role Description

Complete data modelling with Hadoop, Hive, MapRDB, ES

Index pattern design, search query modelling, Document indexing, mapping & modelling. Storing image, pdf, doc using TIKA library.

With advance analytics data modeling

Project Objective The Risk & Control team supports and manages the oversight and delivery of all Risk, Control, Compliance, Audit and regulatory, Resilience and Cyber requirements and Technology Controls, and its partners

Project Details/ Project Overview

Exploratory Data analysis of the security sensor data, segmentation of the targets through sensor data, GIS data plotting, hotspotting, anomaly detection, recommendation, text analytics, search and complete visulation of KPI/metrics ( quantifiable measure)

Project on advance Analytics with R & BI:

Project Title: To predict customer satisfaction score based on key influencing process management parameters

Client: REBACA, USA

Employment Type: Full-Time Duration: Nov 2015 - Feb 2016 Project Location: Santa Clara, USA Site: Offsite

Role: Solution Architect Team Size: 3

Skill Used: Statistical tool: R with R-Studio, Excel, SPSS ; Sentiment Analytic tool using NLP : Stanford NLP, CoreNLP, Qdap, OpenNLP ( other NLP for accuracy validation) ; Text Mining : Wordcloud, tm ; R- Packages : • MICE Package for missing value imputation • Psych package for factor analysis • Random forest package for random forest machine learning techniques • Statistical Methods : Multivariate Linear regression ; Machine Learning Techniques : Random forest

Project Overview:

To predict customer satisfaction score based on key influencing process management parameters (KCI- Key Capability Indicator.

Project Scope :

To create predictive analytical model for any running project using multivariate linear regression & machine learning technique using Key Capability Indicators (KCI) of project. Used Sentiment analysis on client’s project feedback to generate satisfaction score.

2 P a g e certified big data developer I +91-990******* 2 Competence Profile: Anirban Das Certified Data Storage Specialist–

Project Title: To predict customer satisfaction score based on key influencing process management parameters

Client: REBACA, USA

Employment Type: Full-Time Duration: Nov 2015 - Feb 2016 Project Location: Santa Clara, USA Site: Offsite

Role: Solution Architect Team Size: 3

Project Overview:

To predict customer satisfaction score based on key influencing process management parameters (KCI- Key Capability Indicator.

Project Scope :

Project Title: Big Data Analytics solution for Mobile and Voice Data monitoring in physical and cloud networks

Client: Empirix Inc. USA

Employment Type: Full-Time Duration: Jun 2015 - Present Project Location: Atlanta, USA Site: Offsite

Role: Solution Architect Team Size: 5

Skill Used: Hadoop, HDFS, Vertica ( DB), Microstrategy ( BI) Project Overview :

Big Data Analytics solution for Mobile and Voice Data monitoring in physical and cloud networks Enhancement and maintenance of a monitoring and Analytics solution for mobile and voice data Features supported

Protocol data is captured from service provider networks using virtual and physical probes positioned at different points in the network. This data is transferred to Regional Operations Servers (ROS) for inter-probe correlation; after which it is exported to a central mediation server for business analytics. At central mediation server, the data is suitably enriched using reference data (dimension data) before getting loaded into the designed Vertica warehouse. From Vertica database, MicroStrategy picks up the data to perform different aggregations based on the clients reporting needs.

Tools and Technologies

Platform: Linux I Big Data technologies : Hadoop 2.7.1, HDFS, Yarn, Kafka 0.9 Enrichment/Correlation: Java application, 1.7 ; Analytics DB : Vertica 3 P a g e certified big data developer I +91-990******* 3 Competence Profile: Anirban Das Certified Data Storage Specialist–

Project Title: Monitoring, Big Data Analytics & Reporting of network service KPI through SELF CARE web app portal

Client: ALEF MT Inc., USA

Employment Type: Full-Time Duration: May 2015 - Present Project Location: Atlanta, USA Site: Offsite

Role: Sr. Project Leader Team Size: 9

Skills Used: Search Engine : Elastic Search ETL : Logstash ; BI Reporting : Kibana Web app Portal : Liferay Data Size : 1 billion bytes/day

Project Overview:

To create basic & advance analytics on big data for a RAN caching OEM vendor. Project Scope :

Periodic forwarding of service metrics & faults through SNMP traps

Dashboard to enable control and management of custom content & services

Interactive reports & advance analytics that describe usage, billing and services used

Project Title: To model predictive& prescriptive analytics from the unexplored & unused CDR datafrom CPS ( CISCO POLICY SUITE )

Client: CISCO, USA

Employment Type: Full-Time Duration: Jan 2016 - Present Project Location: Bangalore & Kolkata Site: Offsite Role: Solution Architect Team Size: 4

Skill Used: Big Data Tools & Technologies Apache Hadoop 2.7.1, Yarn, Map Reduce, Sqoop, Oozie, Zookeeper Database : Hbase/MongoDB Cloud Environment : AWS : Amazon Web Services EC2 ( Elastic Compute Cloud ) Amazon S3 EBS ( Elastic Block Storage ) EMR ( Elastic Map Reduce ) Statistical Modeling : with R ( Version 3.3.0) & R - Studio Linear Multivariate regression for prediction Times Series Analysis using ARIMA & Exponential smoothing K-Means, KNN, SVM ( machine learning

). Using Map-R 5.1 CONVERGED DATA PLATFORM in AWS. Project Details/Features supported:

To derive actionable insights from CDR data which are still unexplored, unused and are being archived by the customers

To increase superlative end user experience & engagements

To open immense possibilities to new policy introductions/maintain

To take best informed & improved decision from predictive analysis Advance predictive analytics on CDR :

To predict the subscriber's data usage Cyclic & Seasonal trend/pattern Additive/Multiplicative nature on existing trend

To predict bandwidth usage of the organization for a month /day - Cyclic & Seasonal trend/pattern Additive /Multiplicative nature on existing trend

To predict Termination error from respective Nas IP/Frame IP with respect to time and more.. Actionable insights from Predictive analysis:

To promote plan/offers to the subscriber depending on their login time /session timespan, data usage ( up-selling) To recommend subscriber for better new plan/policy to be enhanced from their existing plan. 4 P a g e certified big data developer I +91-990******* 4 Competence Profile: Anirban Das Certified Data Storage Specialist–

Project Title : RESTORI, Analytics product services for Retail & Hospitality vertical Project Location : KU, Malaysia Site : Hybrid

Role : Sr. Technology Leader & Tech Product Architect Team Size : 5 Technology Stack : Hadoop, HDFS, EC2 AWS, S3, EMR, SOLR, D3.Js ( Data Visualization), Java & python

Product link : https://play.google.com/store/apps

Press Release : https://www.telegraphindia.com/1150824/jsp/business/story_38728.jsp#.VdtqISWqqkq Role Description:

• Suggested & implemented in AWS, different payment gateway viz. paypal, CC Avenue using their API. Implemented different VAS (Value added Services) viz, Make my trip, food panda, Bookmytable, Bookmyshow, Groupons using their web services.

Project Overview:

Conceptualized & designed the analytics product on Retail & Hospitality domain from the nascent stage. Restori is a product made using Big data & Hadoop clusters with SOLR as backend. Designed search algorithm in the product based on retail, hotel & Restaurant Analytics. Comprehended the challenges while advising on how to transform the application with improved UI/UX and technologies. Managing the project from creating project charter to WBS, activity mapping and more. Configured & administered the hosting of the entire application in Amazon Web Services (AWS) using Elastic Cloud Environment (EC2). Configured EC2 instances, RDS, Elastic cache clusters, elastic IP, workspaces. Created a test environment at Godaddy managed VPS servers. Designed the demographic analytics, word cloud, competitive benchmark, popularity trending, rating distribution, sentiment analytics, #Hashtag with social media ROI Analytics of the product. Prepared use cases and test cases for the first beta release of the product. Converted Restori to android & IOS APP. Achievements/ Attainments:

Released first beta of “Restori” as a product implemented on Big Data technologies using Hadoop ecosystem with SOLR as backend. Identified by press “The Telegraph” as one of the promising Big Data products invented & implemented by REBACA Analytics from Kolkata. Clentele: Future Group, Maxmart, Citimart, Symphony Hotels, some famous QSR Cloud native (AWS) Big Data Analytics Product implementation Overview: 5 P a g e certified big data developer I +91-990******* 5 Competence Profile: Anirban Das Certified Data Storage Specialist– Career Contour

Last Job Profile

Present Organization : ARCADIS Consulting Inc., Atlanta, NA-USA (NV based MNC)

Present scope of work / Role : Practice Head/ Pr. Architect - Big Data & Analytics Consulting,

Category/Period : Since April 2017 – till date

Immediate last Organization : REBACA Analytics Inc., USA

Designation : Practice Head- Big Data, BI, Analytics Consulting & Delivery

Period : Nov. 2015- March 2017

Prime Roles:

KPIs: Responsible for building a Digital Center of Competence to drive thought leadership, strategic direction, analytical insights, predictability, intelligent automation, and digital IoT innovation across GEC (Global Excellence Center, India), ARCADIS, USA.

Thought leadership – Deep breadth and depth of domain expertise in Big Data, BI, Analytics and Intelligent Automation (Machine Learning). Deep analytical skills including - statistical modeling, stochastic modeling, and neural networks to drive real benefit outcomes.

Digital roadmap – Establish, define, design, and deliver a digital center of competence that will demonstrate best in class Big Data Platforms, Data Management, Data Mining, Data Analytics, Data Solutions, Data Visualization, and Machine Learning.

Innovation - Collaborate with Delivery practices to create IP and Innovation roadmap

IoT Practice in ARCADIS : https://www.linkedin.com/in/anirbandas2015/detail/recent-activity/shares/

Key digital technology domain areas :

Hadoop (2.7.1), MapR CDP ( 5.5), Power BI, Spark( 1.6.0) with scala 2.11.7, Cassandra (2.1.11), Amazon Web Services (EC2, EBS,EMR,S3), Microsoft Azure, Python 3.5++, R, SQL, NOSQL( Hbase,MongoDB), Robotics Process Automation ( Work fusion), Augmented reality with Unity, MS Hololens ( COE initiative), AZURE Data Factory, Blob. Retail Store: Maxmart (online & Offline):

Project Title: Data processing, analysis, aggregation/hierarchy oriented scripts for processing of approx 1 M Client : Maxmart India Vertical : Retail/ e-Commerce Employment Type : Full-Time Duration : Mar 2015 - Aug 2015 Project Location : India Site : Offsite

Role : Tech Lead – Data Solutions Team Size : 4

Skill Used : Spark 1.5, MongoDB, HDFS 2.2.1

Project Details:

Data processing, analysis, aggregation/hierarchy oriented scripts for processing of approx 1 million rcrds.

create product oriented hierarchies

interactive product sales aggregations by buckets of selected products

create percentiles for comparing sales stats for products in newly aggregated product hierarchies 6 P a g e certified big data developer I +91-990******* 6 Competence Profile: Anirban Das Certified Data Storage Specialist–

# Organization : IKF TECHNOLOGIES LTD., Stock Listed Limited Co. (NSE, BSE, Luxemberg) NASDAQ, NSE, BSE listed IT company

Contact this candidate