Social Media Machine

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Vimal Kumarasamy

Data Scientist with 6 years of experience in Retail & Hospitality industry, with deep understanding of Linear Algebra, Partial Calculus and Statistics in Machine Learning. Building Computer Vision applications. EDUCATION

The State University of New York, Buffalo GPA: 4.00/4.00 o Master of Science in Data Science (Graduating in Dec 2020) Government College of Technology, India GPA: 8.91/10.00 o Bachelor of Engineering, Production Engineering 100% Scholarship (Aug 2009 - May 2013) ANALYTICS AND DATA SCIENCE EXPERIENCE IN INDUSTRY

SENIOR ANALYTICS CONSULTANT Data Sciences Group, [24]7.ai, Bengaluru India (Mar 2017 - Jun 2019)

• Implemented Regression and Tree based Customer targeting models on Hospitality, Telecom and Sportswear partner websites. Reduced customer contact resulted in 20% cost savings for the partners

• Built Support Vector Machine based NLP customer intent prediction models to handle customer queries through a chatbot and saved $ 250 Thousand annually by reducing operations head count

• Scaled the bot to handle sales and service queries, generalized the process to build a bot for any partner based on chat transcript and mentored a junior team member to enable a smooth transition DECISION SCIENTIST Retail Analytics, Mu Sigma, Bengaluru India (Jun 2013 - Mar 2017)

• Identified a high potential retail shopper base through analysis, engineered early indicators for the traits, predicted the evolving needs of these shoppers and targeted them with personalized merchandize

• Mentored a team of 4, handled 500 Million rows datasets, scaled the framework for other merchandize using SQL, Hive and shell scripting. This initiative drove $ 2 Million incremental revenue annually

• Led a team of 15 during high impact Holiday season, delivered 25+ quick, high visibility holiday sale related analysis to enable campaign assessment, product bundling, product pricing and press releases

• Leveraged social media, customers’ shopping pattern, competitor’s price position, devised a proof of concept framework to capture the evolving food trends and updated the inventory management

• Developed a tableau dashboard to provide insights on merchandize hierarchy performance and benchmark related merchandize. Automated it through custom PostgreSQL and Shell scripting SKILLS

MACHINE LEARNING Hypothesis testing, Regression, Dimensionality Analysis, Support Vector Machines, Neural Networks (CNN, LSTM, RNN), Transfer Learning, Hyper parameters optimization, unsupervised learning PROGRAMMING Python (NumPy, Matplotlib, Pandas, Sqlite3, Tensor Flow), R, SAS, SQL, Hive, MATLAB PRESENTATION Tableau, Excel, Power Point presentation, Team Management, Communication COURSERA Machine Learning & Deep Learning Specializations (Andrew NG), Python (University of Michigan), Statistics and Probability (Duke University), Deep Learning in Tensor Flow (Deeplearning.ai), Algorithms (Stanford) EXTRA CURRICULAR ACTIVITIES

NANDI HABBA Organized a plog run for a group of 300 runners to raise awareness on garbage segregation ABOVE AND BEYOND AWARD for training a group of 50 employees to run their first marathon at [24]7.ai NATIONAL CADET CORPS Cadet Under Officer role, helped groom 40 juniors into disciplined college grads HACKATHON – IDEON 2018 Finished second among 40 teams in a product ideation event at [24]7.ai MATHEMATICS Secured 100% in 12th grade exam and topped the university of 600 students during undergrad

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