Meticulous data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
12 Years of experience in Analytics, Machine Learning, Data Mining and Business Intelligence.
Developed ML models - decision tree, Bayesian, neural networks, regression and forecasting models such as ARIMA, ESM
Proficient in Python – NumPy, Pandas, sci-kit-learn and tensor flow packages
Expertise in Base SAS, macros, SQL and advanced SAS programming. SAS Certified Base 9.4 programmer, SAS Certified Advanced programmer, and SAS Certified Predictive modeler.
Proficient in developing dashboard reports, web reports and OLAP cubes
Overview
18
18
years of professional experience
Work History
Data Scientist
Lenovo
08.2022 - Current
Lead the pricing projects for the Lenovo server business.
Worked with multiple stake holders in building the pricing algorithm. Resulting algorithm improved pricing margin by 2.5%
Built forecasting model using python used segmentation technique for customer segmentation
Built an in-house pricing engine to develop the recommendation algorithm
Analytics Consultant
SAS Institute
03.2016 - 08.2022
Worked with clients in building analytic solutions for their needs. Primarily worked on building ML models, providing data insights, and building dashboards reports.
Worked with clients in building models to forecast the call volume of their customer service center for a transportation company. This forecasting led to staffing improvement and improving the caller wait time.
Identified fraud by building ML models, tracking outliers in drug prescriptions, provider behavior and member behavior
Implemented a framework in identifying fraudulent claims on an ongoing basis and process to review them
Built customized reports/adhoc reports to support the everyday operation of Medicaid business users
Senior Consultant
Kavi Global
06.2012 - 06.2015
Created Analytical data mart for Locomotive repairs for General Electric - Design and Implementation of Data Federation and integration using SAS. The data model is optimized for performance given the large volumes of sensor and events data.
Development of business reporting using SAS OLAP cubes, Information Delivery Portal and SAS BI Dashboard.
Developed ML model that predicts the wheel wear rates that can help plan the maintenance budgets and schedules.
Developed predictive maintenance model for locomotive wheels using SAS Enterprise Miner that generated Decision Tree, Neural Network and Regression based Models.
Senior System Engineer
Infosys
10.2007 - 07.2010
Maintained the Enterprise Data Warehouse of SYSCO’s Supply chain.
Developed ETL’s in Informatica, BO Data Integrator and monitoring tools like Control-M.
Worked on Netezza and DB2 databases
Worked on an ETL migration which deals with migrating the ETL’s from Informatica 8.1 to Informatica 8.6
Education
Masters - Management Information Systems
Oklahoma State University
Stillwater, OK
07.2012
Bachelor of Engineering -
Anna University
CHENNAI,INDIA
07.2007
Skills
Machine Learning
Predictive Modeling
Scikit-learn
Data mining
Time series analysis
Analytical thinking
Data Analysis
SAS
SQL
Tableau
Text Mining
Python programming
Publications
Implementation of Fuzzy C-means in R via JMP, SAS Global Forum 2011
Analyzing sentiments expressed on Wal-Mart’s gender discrimination lawsuit using SAS Text Miner. SAS Global Forum 2012 (Best Contributed Paper Award)
Predict Delay in Your Airline before they do! SAS Global Forum, 2013