BHARGAV KULKARNI

Jersey City, New Jersey ***** (*51) 998 - 6189 ac5el6@r.postjobfree.com https://www.linkedin.com/in/bhargav-kulkarni/ PROFESSIONAL SUMMARY

Data Scientist with a demonstrated ability to deliver action-oriented insights to challenging real world business problems in various industries. Experienced in developing machine learning models, data visualization and statistical analysis. SKILLS

Technical: Python, R, SAS, SQL, MS Excel, MS PowerPoint Analytical: Statistical Analysis, Decision Making, Surveying, Optimization Data Science Libraries: dplyr, reshape2, caret, numpy, pandas, matplotlib, scikit-learn, keras Data Visualization: Tableau, R Shiny, Prism, Power BI Cloud Platform: Microsoft Azure ML studio, Amazon Machine Learning studio (AWS) EDUCATION

Stevens Institute of Technology, Hoboken, New Jersey May 2018 Master of Science in Business Intelligence & Analytics GPA: 3.97 Related Coursework: Multivariate Statistics with SAS and R, Data Warehousing with SQL, Web Analytics in Python, Marketing Analytics in SAS, Knowledge discovery and Data Mining in R, Data Visualization Applications in R and Tableau University of Pune, Maharashtra, India May 2016

Bachelor of Engineering in Computer Science

Related Coursework: Data Mining, Database Management Systems, Business Analytics and Intelligence PROFESSIONAL EXPERIENCE

Xpanxion, Alpharetta, GA Feb 2018- Present

Data Science Consultant

• Assist a Senior Technology Lead to setup a data analytics environment for the clients on Microsoft Azure cloud platform

• Develop efficient business intelligence and machine learning solutions to an agriculture industry client Pfizer, New York, NY May-Aug 2017

Data Scientist

• Optimized total predicted clinical trial expenditures through Propensity Score analyses resulting in a decrease in total hypothetical trial cost

• Performed predictive modeling by writing statistical programs in SAS and R by applying various algorithms (Regression, Decision Trees, Ensemble methods)

• Streamlined/enhanced Statistics Department with integration of R in SAS

• Developed dashboards for Senior Executives across departments enabling competition benchmarking Xpanxion UST Global Group, Pune, India Mar–May 2015 Business Intelligence Analyst

• Prepared Training standard operating procedures and documents for BI methodologies and ETL tools ACADEMIC EXPERIENCE

Smart Grids, Sensor and Neural Networks- Optimization of Load Forecasting Jan-Mar 2018

• Developed an Optimized model for power consumption prediction of commercial building floor using adaptive sensors

• Applied neural networks optimization in R, which resulted in a 48% increase in proper forecasting over the standard time value forecasting method

• Calculated total energy savings with and without sensors for the model of NYC office building using government supplied research and obtained $3.4MM per day in energy savings Cancer Classification using Gene Monitoring Sep-Dec 2017

• Classified the type of cancer based on gene expression monitoring data using R Programming

• Implemented dimensionality reduction algorithm on 7129 genes data of cancer patients using Principal Component Analysis

• Obtained 68% accuracy using KNN algorithm over Logistic Regression & Naïve Bayes algorithms Evaluated User Behavior Using Market Basket Analysis Sep-Dec 2017

• Developed a recommender system on the user-game session data obtained from games.metv.com

• Implemented Market Basket Analysis for finding the games that were commonly played together within a user’s visit and provided the output using graph-based visualization.

• Delivered valuable insights based on user’s gaming behavior to drive better game advertising for increasing user retention Job Advertisement Salary Prediction System Jan-Apr 2017

• Predicted salary range for jobs scraped from Indeed.com using machine learning algorithms in scikit library in Python

• Achieved 82 % of highest accuracy using voting classifier on the ensemble model HONORS AND ACTIVITIES

Beta Gamma Sigma Member Food Bank for New York City Volunteer

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