Technical Leader -Machine Learning & AI

PROFILE SUMMARY:

Technical Leader with more than 13+ Years of strong experience.

Excellent Exposure and Experience with Python (NumPy, Pandas, Matplotlib), TensorFlow and Golang.

Excellent Experience of Machine Learning Algorithms -Clustering, Classification and Regression etc.

Experience building and deploying machine learning models on the Cloud.

Excellent Experience of TensorFlow, Kubeflow, Kubeflow Pipeline, Hyper-parameter using Katib,

Tensorboard and GCP for AIOps/MLOps.

End to End ML Pipeline from development to deployment and Monitoring using Kubeflow and Kubernetes.

Solid experience in enterprise scale AI/ML solution build, model pipeline development and model deployment and implementing in both NLP (Natural Language Processing), Statistical modelling.

Experience with GCP-Pub/Sub, Dataflow, Big Query, Big Table and creating Bucket.

Experienced and Knowledge with AWS S3, SageMaker, Apache Kafka, PySpark, Tableau and Angular JS.

Hands on experience with Hive, Sqoop, HDFS and MapReduce.

Strong project management and team management skills and ability to work with global team.

Worked with business stakeholders to build the ML product and feature pipelines

Excellent experience with VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach.

Very quick learner, team player with good communication skills.

SKILL SET:

Languages

Python, R, C Prog, Core Java and Basic Golang.

Analytical Tools & Techniques

Machine Learning, R Studio, SAS, and Alteryx

Data Visualization Tools

Tableau, D3.js, GGplot, Seaborn etc.

Bigdata/Hadoop

HDFS, MapReduce, Hive, HBase, Sqoop, Teradata, Snowflake. and SQL

Operating System

Centos, Windows, Linux.

Web Technology

JavaScript, AngularJS, XML, JSON, REST

PROFESSIONAL CERTIFICATION:

Machine Learning from Stanford University.

Machine Learning with TensorFlow on Google Cloud Platform from Google

Neural Networks and Deep Learning from Deep Learning.AI

Customer Analytics from University of Pennsylvania

TECHNICAL CERTIFICATION:

Unix Certified from Hewlett Packard (HP) with 96%

EDUCATIONAL QUALIFICATION:

EPBA – Advance Analytics from Indian Institute of Management Calcutta.

Bachelor of Engineering (E&TC) from Savitribai Phule Pune University

WORK EXPERIENCE: Approx. 13+ Years

Currently working with HCL America Inc. as a Technical Lead.

PROJECTS:

1. Project: Cisco Kubeflow-ML

Predict the location based on BLE received signal strength indication (RSSI) data captured by mobile devices.

The dataset contains two sub-datasets: a labeled dataset and an unlabeled dataset. For the labeled dataset, the input data contains the location (label column).

This model is developed and trained using label dataset and then using Kubeflow Serving, serve the model through gRPC to predict the location for unlabeled data and deployed the model.

Skills: Machine Learning, Python, TensorFlow, Kubeflow, GCP, Kubernetes, Docker etc.

Role: Developer

Responsibilities:

Understanding the business problem

Gather and understand the data.

Cleaning, Processing, and analysing the Data.

Develop, Train and test the model using TensorFlow, predict and deploy the model using Kubeflow serving on the cloud for MLOps.

End to End ML Pipeline from development to deployment and Monitoring using Kubeflow and Kubernetes

Tuned the model using Katib hyperparameter tuning to improve the performance of the model

Integrated with TensorBoard for Visualization.

2. Project: CHP2.0-Matrix Analytics

This application is developed to map and track the device details and Nugget details from Syfter to Matrix dashboard analytics for Controller. In this user can create a different topic and get the device data using Nugget from producer to consumer for matrix dashboard for all device and for KPI and Inventory. It collects timely reports from all the devices for info like CPU, Memory and storage usage and based on that developed anomaly detection alarm events and deployed the application on cloud.

Skills: Python, Apache Kafka, Machine Learning, SQL Docker, Kubernetes, Cloud, JavaScript etc.

Role: Developer

Responsibilities:

Understanding the business requirement.

Pulling the data from various Syfter Controller using Nuggets.

Write the nuggets to process and export the Data.

Syfter to Matrix Integration using Apache Kafka

Stream the data from Kafka topic to ingest the data.

Created Kafka SSL self-sign to publish over SSL port

Machine Learning application for anomaly detection for alarm events

Deployed the apps to cloud using MLOps.

Visualizing the data from Matrix KPI workbench after data ingestion.

3. Project: CBA Bank-Home Buying Risk

This model is developed to help the Home Loan Business to evaluate the risk of mortgage collateral facing a loss of value, due to the collapse of the real estate market. Especially the model is designed to help identify risk at the property level and applying model outputs on a defined national stress scenario to predict- specific house price declines on postcode level.

Skills: Machine Learning, Python, SAS, MS Excel, Teradata, Tableau etc.

Role: Developer

Responsibilities:

Understanding the business requirement.

Pulling the data from various sources.

Cleaning, Processing and analysing the Data.

Developed predictive model, created Summary Report and automate the results.

Created Rank Comparison and Confusion Matrix.

Visualizing the Results and automated the model.

4. Project: CBA Bank-Credit Risk Analysis

This model is developed to automate the loan eligibility process based on customer details provided in their online application form. Bank need to analyze their customers for loan eligibility so that they can specifically target those customers. So, it is very important to predict the loan type and loan amount based on the data.

Skills: R, Machine Learning, MS Excel, Teradata etc.

Role: Developer

Responsibilities:

Understanding the business data.

Pulling the data from data source.

Data Description and Data Processing.

Variable Identification and Data Partition.

Dimensionality Reduction using PCA

Naïve Bayes Classification and

Visualizing the Test Results.

5. Project: CBA Bank-Fraud Detection

This is developed to help business to detect and prevent of their customers, their applications and their security through an insight data driven portfolio monitoring and anomaly detection framework that enables early intervention through the origination process

Models are based on business hypotheses rules to ensure parties in an application are not knowingly, providing an incomplete or inaccurate detail of the customer to prevent the financial risk.

Skills: Machine Learning, R, Alteryx, MS Excel, Teradata etc.

Role: Data Scientist

Responsibilities:

Understanding the business data.

Pulling, Analysing and Processing the Data.

Calculated MLE to HEM and Uses Business Rule.

Visualizing the results.

Prepare report for the application

6. Project: AT&T-B2C Sales Store

This is developed for one of the leading sales stores in the US. Providing different range of electronics product to people. Product varying from cell phones, Tablets, TV bundles, Internet and accessories etc. From the application. This Model has been developed using ARIMA to predict the future sales forecast and also perform a retail test, to determine the category performance for new launch premium SKUs in some stores.

Skills: R, Machine Learning, Tableau, R Studio etc.

Role: Analytics Developer

Responsibilities:

Understanding Business requirements.

Extract data Prepare analytical solution and data visualization.

Developed Forecast Models using ARIMA for Sales.

Compare the result actual vs predicted.

Visualizing the Results and automate the models.

Implement K-means clustering algorithm to determine similar stores.

Representing data using the Geographic Maps, Pie Charts and Bar Charts.

Responsible for dashboard design, layout, look and feel and development.

7. Project: LTS2 -Seagate

This application is developed for Seagate Cloud storage, where Partner, Reseller and Accounts are three main profiles. There is one Sysadmin who create profile for Partner and and can view all profile details and give permission. Partner can give provision to Resellers and manage accounts. Reseller gives provisions to new accounts. Account manages the users. This application is developed for user to store their data in cloud with provision where users can monitor their accounts levels by region.

Skills: Python, Kafka, Angular, Amazon S3, SQL, Spark, Tableau etc.

Role: Developer

Responsibilities:

Primary responsibility was to develop, analyze and visualization data.

Responsible for developing and visualization of data.

Creation and tracking of unit test results via Unit Test Plan and Code review Checklist.

Documentation of defects, preventive methodologies, resolutions, technical learning and leveraging them across the team through knowledge sharing sessions and trainings.

Analysis of the Validations and the calculations to be performed on the source data to devise job Development Approach, Unit Test plan, and Estimates.

8. Project: Nazih Log Analytics

The scope of the project is to perform analysis on huge log data of a chained Retail store and deliver

Them with efficient results which help the retail management to identify the major and minor differences of the

Corresponding store with respect to customer flow. By this they can reduce the wastage and increase the

Business.

This can be achieved with the help of big data technology Hadoop by collecting log information and performing

Various operations and analysis as transforming, analyzing, processing and storing data.

Skills HDFS, Map Reduce, Hive, Sqoop, Flume, MySQL, UNIX.

Role Developer

Responsibilities:

Application installation of Hadoop, Hive and MapReduce.

Analyzed the Functional Specifications.

Loading Data from UNIX file system to HDFS, Records the data in HDFS.

Analyze the data using Hive,

The data will be stored in Hadoop file system and processed using Map/Reduce jobs.

Write Map Reduce Program, Unit Testing, Review the Code and Bug Fixing.

9. Project: ADA (HSBC North America)

ADA is a Web Application and was not for a normal human. This application is developed for client HSBC North America. From the website, disabled people could log into the Household Bank Credit Card application system. There was pre-recorded software where audio description was provided for all pre-recorded video content in synchronized media. The account overview page was the lending page and is the first page where CMs view after login. The page shows all account details and allows the CM to navigate to several points of interest with just one click.

Skills Core Java, GUI, HTML, JavaScript, SQL, XML and QC 9.2. etc.

Role Developer

Responsibilities

Requirement analysis, Design, Coding, Unit Testing and Bug fixing.

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