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Data Manager

Worcester, Massachusetts, United States
November 12, 2018

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Worcester Polytechnic Institute (WPI), Worcester, MA Aug 2017 – May 2019

Masters of science, Data Science 3.66/4.00

Related Coursework: Introduction to Data Science, Statistical Methods for Data Science, Applied Statistics for Engineers, Big Data Management, Machine Learning, Data Mining for Business Applications

Mukesh Patel School of Technology and Management, NMIMS, Mumbai, India May 2011 – April 2015

Bachelor of Engineering, Electronics and Telecommunication Engineering GPA 3.23/4.00

Relevant Coursework: Cryptography and Data Security, Database structures, C, C++ and Database Management Systems


Analytical : Data exploration, Sampling, Hypothesis Testing, Model Selection, Descriptive & Predictive Analysis, Visualization

Database & Big Data Ecosystems : MS SQL, MongoDB, HDFS, MapReduce, Hadoop, Spark SQL, Elastic MapReduce

Tools and Languages : RapidMiner, SPSS Modeler, MS Office (word, power point, excel), Anaconda, Talend, Amazon Web Services, Google Cloud Platform, Tableau, Google Analytics, Scikit-learn, R, Python, Pytorch, Matlab


Zycus Infotech Limited, Mumbai, India June 2015 – Feb 2017

Procurement/Spend Analyst

Spend analysis projects for supply chain companies which were based on Agile management. Worked on the following projects and received appreciation for my quality, collaboration, meeting schedule and customer focus

Helped National Cash Register gain up to 10 percent savings in their expenditure by rationalizing and contracting the suppliers by processing data weekly using Hadoop and patented AI tools

Performed data analysis for a merger/acquisition of Sherwin Williams with Valspar along with Deloitte. Helped understand the business being acquired, a way to merge the data and generate savings opportunities

Worked closely with the senior sourcing manager for the US region and structured all the data processes for Advanced Micro Devices by creating a standard ETL workflow

Created complex reports and normalized their top spend category vendors and commodities leading to savings for Valspar

Along with the Senior and Lead Supply Chain analyst, fixed all the data related issues, which helped them analyse the data and generate valuable and informative reports for Amway


H1B Case Status Prediction Aug 2017 – Nov 2017

Applied machine learning algorithms like Logistic Regression, KNN, LDA, XGBoost, Decision Trees in R to predict the case status of an H1B application and find out if it is truly a lottery system.

Able to show that it is not truly a lottery system by showing patterns and relationships between variables

Twitter Data Analysis Aug 2017 – Sept 2017

Applied text mining and data analysis of random data sample from twitter API using Python with Pandas, Scikit-learn and numpy.

MovieLens Data Analysis Sept 2017 – Oct 2017

Performed Natural Language Processing, Sentiment Analysis and Data Analysis on movie reviews in the dataset using Python with Scikit-learn and numpy.

Created a business model and a recommender system based on the analysis for MovieLens

HR Recommender System Sept 2017 – Nov 2017

Applied machine learning algorithms like Logistic Regression, LDA, QDA, KNN and Decision Trees in Python with Scikit-learn and numpy to create a model which predicts when an employee is most likely to leave an organization

Designed a system that would help the hiring manager retain talent in the organization

Network Analysis using Hadoop and Big Data technologies Jan 2018 – April 2018

Collected twitter data for influential women in technology in order to analyse the network on twitter. Used AWS EMR, Apache Hadoop and S3 for data gathering and analysis.

Fintech Project with State Street, Boston MA USA June 2018 – Dec 2018

Helping State Street create a uniform supplier on-boarding process using SQL and Machine Learning Algorithms

Graduate Qualifying Project: United Technologies, Hartford Connecticut USA June 2018 – Dec 2018

HR Analytics using NLP, Word2Vec & NLTK, clustering and Information Retrieval from UTC’s Job Descriptions data

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