Data Scientist

Vishwaraj V. Telavane

*** **** ******, **********, ** 13905 ********@**********.*** 607-***-**** EDUCATION

State University of New York at Binghamton

Master of Science in Industrial & Systems Engineering, Expected May 2019 University of Mumbai, Mumbai, India

Bachelor of Engineering in Instrumentation Engineering, August 2013- June 2017 TECHNICAL SKILLS

Lean Six Sigma Green Belt Certified

Technologies: Python, SQL, R, Tableau, MS Excel, Google Cloud Platform, Linux, SAS, MATLAB, Mathematica, Git Packages and Libraries: pandas, numpy, scikit-learn, scipy, matplotlib, seaborn, ggplot2, NLP, TensorFlow Courses: Statistics, Operation Research, Multivariate Data Analysis, Modelling & Simulation, Supply Chain, Applied Soft Computing, Enterprise Systems

EXPERIENCE

Live in Bing, Binghamton, New York, U.S.

Senior Data Scientist Intern May 2018- Present

Predictive Maintenance

• Live in Bing is a Real Estate domain startup situated in Binghamton with over 100 properties.

• Built Raspberry Pi based device to collect electricity and water consumption data and connected it to Google Cloud Platform to store the data in BigQuery.

• Prepared SQL queries to retrieve data for analysis and calculate total monthly consumption of utilities.

• Using Google Weather API and collected data, predicted future consumption of utilities by applying Regression techniques.

• Used predictions to gain information about uncertainties in utility usage and prepared a program to send tenants a warning message for over usage.

• Modeled a Regression model to predict house prices in Binghamton using the data provided and secured an 85% accuracy.

• Performed data cleansing and slashed the number of features affecting property prices by using dimensionality reduction techniques.

• Completed the Data Science course by Andrew Ng as a part of this internship.

• Saved around $2000 every month and led a team of 3 Interns while working on this project. Vikas Consultancy, Mumbai, India

Associate Aug 2015 – June 2016

• Managed Insurance policy related data and was responsible for backend operations.

• Simplified the process of sending notifications to clients using Microsoft Excel Macros. PROJECTS

Credit Card Fraud Detection using Python Feb 2018

• Developed a classification model using Random Forest Classifier to detect frauds in credit card transactions and compared it to models developed using Bernoulli Naïve Bayes Classifier and Logistic Regression. Performed data sampling to create a balanced dataset.

Forecasting Demand using Artificial Neural Networks Nov 2017

• Trained a Neural Network to predict the future demand for a company’s product by using the Back-Propagation Method.

• Forecasted the demand of product for 6th year by taking first 5 years as input with an efficiency of 91.5%. LEADERSHIP EXPERIENCE

T.E. Head, Horizon 2016, SUC, RAIT Aug 2015 – May 2016

• Involved in the Sponsorship and Management team for the annual festival Horizon 2016, successfully brought a sponsorship of Rs.15000/-; and led a team of 8 people in organizing events and fun games.

• Coordinated the technical festival ‘Genesis 2014’, organized by International Society of Automation- RAIT in Sept 2014.

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