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Data Scientist

West Lafayette, IN
March 30, 2019

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+1-765-***-**** PROFILE

Data scientist with 2 years of experience and seeking for full time position. Familiar Tools: R, Python (SciPy, NLTK, Keras or TensorFlow), SAS, SQL, Tableau, Hadoop, Hive, Impala Models Built: Linear/Logistic Regression, Ensembles (GBM, XGBoost, Random Forest), Bayesian Classifier, LDA (for NLP), LSI, ARIMA, Holt-Winters, Neural Networks (CNN, LSTM and RNN), Conditional Random Fields Analysis used: Speech-to-text conversion, Sentiment Analysis, Topic identification, Industrial process optimization, Monte Carlo Simulation, Churn/Attrition modelling, Financial Modelling (Delinquency modelling) Courses taken: Artificial Intelligence, Stochastic Network Analysis, Data Mining, Computing for Analytics, Advanced Game Theory, Advanced Business Analytics, Optimization, Probability & Statistics, Advanced Calculus EDUCATION

Purdue University, West Lafayette, IN June 2018 – May 2019 Master of Science in Business Analytics and Information Management, 3.76 (Dean’s list) Awarded Krannert Educational Scholarship for the year 2018-19 Birla Institute of Technology and Science, Pilani Campus, India August 2010 - May 2015 Master of Science in Mathematics and Bachelor of Engineering Electronics, 7.7/10 SELECTED PROJECTS

Industry Project - Predicted Optimal Promotion Offer Using Conditional Random Fields Generated a predictive model that estimates demand for different promotions. This imputation method increased accuracy by 30% when compared to the conventional methods

Academic Project - Artificial Intelligence Directed PAC-MAN Used reinforcement learning to build an AI directed PAC-MAN that can self-analyze its position and make the right move at each step. The AI agent could win the game played at the highest difficulty PROFESSIONAL EXPERIENCE

Data Scientist, Tata Insights and Quants, India April 2016 – May 2018 Tata Group Consumer Database Development

• Developed cross-industry customer purchase propensity from a database of 60 million consumer in Hadoop

• Enriched sparsely known rows in the above database using custom-designed imputation functions Operations Analytics

• Identified suitable vendor to procure equipment for Tata Steel plant thus reducing delayed deliveries by 33% Prognostic and predictive analysis

• Developed a model to predict car battery failure one week in advance based on data from telematics/IoT sensors

• Utilized this prediction to identify the signs of failure. This prognostic was implemented in Tata Motors automobiles Natural Language Processing and Text mining

• Developed an in-house speech-to-text converter for vernacular Indian English using CMUSphinx tool

• Featured in success story covered by The Economic Times in 2017 for improving the chatbot for Tata Capital to address loan specific queries and hence reduce the turnaround time of the customer Time Series Analysis for strategic procurement

• Built deep learning model to evaluate best time to buy coal for Tata Steel by predicting price of coal six months in advance Software Development Engineer,, India June 2015 – March 2016

• Optimized website homepage and to reduce loading time within 0.15 seconds across all platforms

• Encoded segmentation algorithm to award badges based on client segment needs Summer Intern, Tata Institute of Fundamental Research, India May 2011 - July 2011 & July 2012 – August 2012

• Simplified an algorithm which has logarithmic time efficiency for primality testing PUBLICATIONS

Balanced K-Means clustering with equitable power distribution, 2019 Southeast Decision Sciences Institute (SEDSI) Conference Won the best paper award for modifying traditional K-Means clustering for nuanced practical application in industry AWARDS AND RECOGNITIONS

• Hackathon winner won 2nd prize in Esports Hackathon in 2018 for developing the ranking algorithm of PUBG game

• TataIQ Spot award winner awarded for securing a long-term contract worth 100 Million INR

• KVPY Scholar, awarded KVPY Scholarship (2010 - 15) by Govt. of India for excellence in science and math

• Sports: Finished 2 Full Marathons (2018 & 2016) and 2 Half Marathons (2014 & 2015), Member of Krannert Football Club (Soccer)

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