SACHIN KANT MISRA

***** ***** * ***** *********, Apt 3511, Tampa, FL - 33647

: 813-***-**** : acxqyf@r.postjobfree.com https://www.linkedin.com/pub/sachin-kant-misra/20/838/75

Objective: To secure a full time position as Data Analyst/Scientist in the field of Business Intelligence and Big-Data Analytics.

Summary:

5 years’ IT industry experience in Infrastructure Data Storage, Banking, Telecom & Insurance domains with Analyst and Developer role

Proficient in technologies like R, Python, SAS, Hadoop, Spark, Excel, MySQL, Tableau, NoSQL, Core Java, Mainframe, C/C++, C#.NET 2.0

Ability to analyze large datasets performing statistical quantitative analysis of trends to provide strategic direction to business needs

Well versed in business intelligence and data analytic techniques such as data collection using APIs, data cleaning, data exploration, data visualization, predictive modeling, hypothesis testing and machine learning algorithms (EMC Proven Professional Data Scientist)

Education:

University of South Florida – Tampa, Florida Expected Graduation: December 2016

Masters of Science – Management Information Systems in Business Intelligence and Data Analytics (GPA 3.96/4)

Boot Camps (Data Analytics): Fall 2015

Anti-Money Laundering(CITI)

Big-Data Analytics

Uttar Pradesh Technical University Lucknow, Uttar Pradesh, India July 2010

Electronics and communication – Bachelor of Technology (Honors)

Technical Skills:

Programming: R, Python, SAS, Core Java, C/C++, Mainframes

Data Visualization: Tableau, ggplot2, MLlib, D3.js

Big Data Technologies: Hadoop (HDFS), MapReduce, Spark, Hive, Sqoop, Hbase

Web Development: ASP.NET, XML, HTML5, JavaScript, CSS3

Databases: SQL Server (Oracle), DB2, IMS DB, Cassandra, Greenplum, MySQL workbench, NoSQL

Methodologies: Waterfall and Agile

Tools: R-Studio, Jupyter, Spyder, Eclipse, Visual Studio, ArgoUML, PySpark, MS-Office, MS-VISIO, SAS EM, Weka, RapidMiner

Certifications: DB2 Associate and Administrator (IBM), VC#.NET Framework 2.0 Enterprise Web Application Development (NIIT), Core Java (DataPro), Tableau 9 (UDEMY), EMC Proven Professional Data Scientist (EMCDSA)

Professional Experience:

DELL EMC Corporation, USA Lead Big Data Analyst May 2016–December 2016

Focused on the performance solution for the mid-range infrastructural storage unit as Lead Analyst

Authored an unsupervised machine learning algorithm for product performance analysis on testing platform

Orchestrated Data Extraction from NoSQL and MySQL databases and perform Statistical Data Mining using R and Python

Hands on experience on Complex and Analytical SQL database Greenplum to extract information from big data environment

Prepared analytical report through live dashboard website using tools like Tableau and ASP.NET

University of South Florida, USA Graduate Instructional Assistant – Big-Data, Data Mining August 2016–December 2016

Spearheaded research work on Spark for master’s students, wrote papers on publication and prepared study material with tutorial videos

Demonstrated tools, conducted hands-on labs and took 3-4 hours of lecture class every week for 180+ students in doubt-clearing sessions

IBM India Pvt. Ltd, India Senior Systems Engineer/Business Analyst June 2014–July 2015

Analyzed Performance measures of various projects using Visio, Excel, R and SAS and presented through histograms and scatter-plots

Prepared business process models and acted as application programmer, module lead and data flow coordinator

Reconciled, verified and transformed business requirements from clients and provided technical solutions

INFOSYS Limited, India Systems Engineer/Business Analyst March 2011–June 2014

Worked as application developer and business analyst for Java-mainframes-Unix-SQL based projects

Gathered, mediated and converted business requirements from clients and provided technical solutions

Relevant Projects:

Signal-to-Noise Twitter (Independent Study) – Built an algorithm to extract tweets relevant to specific domain and eliminate various types of noisy tweets in order to analyze the hidden trend on Twitter

Airbnb New User Booking (Kaggle) – Built classification model using XgBoost algorithm to predict the preferred holiday destination country of new users with an accuracy of 86%

Titanic Disaster (Kaggle) – Used Python to build random forest model in order to predict the survival tendency of passengers with an approximate accuracy of 80%

Fabric Softener - Built Multinomial Logistic Model, Ordinal Logistic Model & Time-Series Model (ARIMA) in R to perform brand analysis & forecast customer preferences for SKUs & its attributes based on real time data for consumer choice sale

Mighty Hive (Team LEADA) – Trained linear regression model and performed A/B hypothesis testing for telecom marketing data to predict retargeted customer’s preference

Achievements:

Deep Skill Award for quarters Q4-2014, Q1-2015 and Q2-2015 at IBM

Client Appreciation award for saving $100k per annum by optimizing and performance tuning in DB2

Infosys Excellence Award for knowledge sharing and collaboration within the organization

Contact this candidate