Hardik Gupta

I work along with product managers and business stakeholders, trying to leverage data to apply to everyday decisions. I am involved with - Personalisation (Movies/Non-Movies) to improve customer experience through better ranking and recommendation of events - Email Campaign Analytics

Key Projects - Forecast inbound volume across 1400+ service centers using daily data - Top customer segmentation using Multivariate Time-Series Clustering

- Lead implementation of Big Data components (solo developer, team of 2) - Apache Flume, Sqoop, Spark, integrated HDFS with R using RHadoop. - Developed custom Named Entity Recognizer to capture Indian names for text cleaning using Apache OpenNLP - Communicated results by analyzing weekly/monthly data using R markdown in order to evaluate key business metrics. - Prototyped machine learning models for enhanced vehicle scheduling for a leading cement client in India - Provided technical support for 15 websites to web managers using Oracle SQL, Oracle WebCenter Sites and ADF.

- Researched different machine learning techniques over different data sets, to be included as part of product. - Tested hypothesis of using clustering techniques together with tree classifiers to eliminate bias in dataset, identify global patterns.

- Cumulative Aggregate (8 Semesters) - 75.32% (Top 5%) - Project exhibited and Technical Paper presented on ‘GSM based LED Scrolling Display Board’ at All India Technical Competition ‘INNOVISION’. - Successfully conducted workshop on ‘EAGLE’, PCB making software for T.E EXTC students. - Headed the Event Management team under students’ chapter IETE for the year 2012-13.

Key concepts - Statistical Analysis: Descriptive statistics, Sampling & Statistical Inference, Regression analysis, Count data Models, Survival Analysis - Data Mining: Unsupervised techniques - Machine Learning: Supervised techniques - Deep Learning: MLP, RNN, CNN, LSTM, Autoencoders - Retail & Supply Chain Analytics - Social Media and Web Analytics - Pricing & Revenue Management - Customer Analytics for New Product Development - Big Data Management: Big Data systems, Hadoop & Spark framework - Text Analytics: Bag-of-Words formulation & NLP - Data Visualization: Theories of DV, Tableau for Dashboards and Story - Linear and Non-linear Optimization Techniques - Forecasting Analytics: Model driven (regression based) and Data driven (Smoothing techniques) - Data Collection: for Exploratory and Marketing research, from API’s and web scraping - Simulation: Monte Carlo and Discrete-Event Simulation - Financial Analytics: Portfolio Optimization and Asset Pricing