About

Surendar S is a highly experienced analytic professional with over 7 years of experience in Descriptive, Inferential and Predictive Analysis. He has extensive hands-on experience in Hive, Spark-SQL, ETL using Shell scripts, Productionalizing analytic models, and Big data tools like Hadoop, Mahout, and Machine Learning. He is proficient in SQL, Oracle programming, and has strong database, ETL, reporting, and data analysis skills. Surendar has expertise in a wide range of analytical techniques such as NLP, Text mining, Log-Linear regression, Dimensionality Reduction, Cluster Analysis (K-means, Hierarchical), and Decision trees. He is skilled in Multivariate Hypothesis testing, Affinity Analysis, Business Analytics, Web Analytics, Machine Learning, and A/B Testing Tools. He is proficient in using SQL, Tableau, Python, Teradata, Hive, Spark, Tableau, Basic Shell Scripts, and VBA. Currently, Surendar is working as an Analytics/Data Science Lead at Walmart, where he has developed an Automated Prescriptive Tool and a Predictive Text classification Product using text mining techniques and Machine learning Algorithm. He is responsible for data accuracy and has created an analytic data set using Spark-SQL, Bash scripts on hive, and ensured accuracy of data. He has collaborated with stakeholders across engineering, UX, Product Managers, and drove implementation of feedback tab across Walmart.com pages. He has productionalized the models and evangelized the product across product managers. In the past, Surendar has worked as a Decision Scientist at Mu Sigma, where he developed a Customer Propensity Model for scoring direct email marketing campaigns, identified Factors to improve customer satisfaction scores for call center agents, and created social network algorithm to recommend items for the customers. He has also worked as a Data Scientist at LNX Research, where he was responsible for product management and development of in-house tools for rapid analysis on social network data using graph algorithms. Surendar has a B.E degree in Electrical and Electronics from the National Institute of Technology, Trichy, and a Bachelor's degree in Engineering from Regional Engineering College. He has a diverse skillset that includes SQL, Data Scientist, ML, Research Scientist, Spark, Text Classification, Python, ETL, Naive Bayes, SVM, Apache Hive, Word2Vec, NLP, Big Data, Random Forest, Hadoop, Web, and Software Engineer. Overall, Surendar has