KARTIKEYA SHARMA
Chicago, IL 773-***-**** ac7ct4@r.postjobfree.com www.linkedin.com/in/sharma2kartikeya
SUMMARY
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
EDUCATION
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
SKILLS
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
PROJECTS IN DATA SCIENCE
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 yelp.com 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
PROFESSIONAL ROLES
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