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Data Scientist

Chicago, IL
October 11, 2018

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Chicago, IL 773-***-****


A professional with 4 years of experience spread across data analytics and IT Consulting, presently looking for a role in the data science field to help organizations find meaningful insights by using advanced data mining tools and techniques


University of Illinois at Chicago Dec 2018 (exp)

MS, Business Analytics 3.56/4.0 CGPA

SRM University – Chennai, India May 2013

BS, Mechatronics Engineering 7.73/10.0 CGPA


Machine Learning: Predictive Modeling, Forecasting, Regression, Clustering, Natural Language Processing, Time Series

Databases: Amazon Redshift (AWS), MongoDB, Amazon DynamoDB (AWS), Microsoft SQL Server, MySQL, SSRS

Tools: SAS, Tableau, Hadoop, MS Office, Excel, RapidMiner, Eclipse, Aginity Workbench, Spark, RStudio, Jupyter

Languages: R, Python, Julia, SQL, NoSQL, Hive, PigLatin, Java


Descriptive model and EDA for Minnesota DoH, on Healthcare Clinics’ annual survey to find areas of improvement

Comparison of predictive models’ performance (ARIMA, Holt Winters, Random Walk) on Walmart data for sales forecasting

Market Basket Analysis of monthly PoS data for a leading retailer in Midwest region to find product association and seasonality

Predictive model on German credit data for classifying good and bad credit customers using boosted trees

Target marketing using Paralyzed Veterans of America fundraising data to identify prospects, reducing solicitation cost

Sentiment analysis and clustering of customer reviews posted on using Natural Language Processing (NLP)

Predictive model on Bureau of Transportation Statistics data to predict time taken by flights to compensate delay using SAS

Clustering of household customers based on brand loyalty on CRISA bath-soap data and determine factors influence customers


Forecast in Motion – Chicago, IL August 2018 – Present

Data Science Project Intern

Developing a model for market segmentation based on customer profile and predicting demand based on customer profile

Data retrieval and merging from multiple sources and creation of data pipeline for data transformation using Python

Statistical sampling variation for adequate customer segment representation, reducing model bias and increasing performance

Exploratory Data analysis for Factor analysis and feature engineering to develop new features and reduce predictors

Inttra Inc – Parsippany, NJ June – August 2018

Sales Operations Intern

Prototyped an Exploratory Data Analytics (EDA) model on shipping data using R to identify opportunities for container reusability and predict opportunities, currently undergoing testing and planned for pilot run next fiscal

Developed Tableau dashboards to monitor sales and booking volume on the platform (Average Daily Volume ~175,000)

Identified opportunity and developed a dashboard to monitor the KPIs of network health, hourly usage and other statistics

Created a descriptive model for HR team on Employee engagement survey results to find factors in employee satisfaction

Retrieved and analyzed data from AWS data warehouse to create ad-hoc reports and visualizations for the product team

Tata Consultancy Services (TCS) Ltd. – Delhi, India 2015 – 2017

Business Data Analyst, IT Consultant for Walgreens Co

Led a team of 3 associates in a module of production support and development project in the Supply Chain domain

Retrieved complex and unclean data using SQL and merged data using SQL joins to perform data transformation and analysis

Developed a pilot command centre project to analyse mission critical application issues’ data, helping in bottleneck identification and reducing Mean Time to Resolve (MTTR) incidents by 15 minutes and saving $127,000 annually

Analysed Kronos Workforce database for labour management and joining the data dump with Warehouse Operations Database

Won Best team award for 2 consecutive years for outstanding performance

Developer, IT Consultant for CVS Co 2013 – 2015

Application developer for the Medication and Prescription management system (RxConnect™) using Java

Developed an automated daily report generation utility, increasing associate availability by 30 minutes/day

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