About

Jay Narayan Das is a Software Engineer II - Analytics & Visualization at EPAM Systems with 6.86 years of relevant experience. He is a naturally curious person with a keen interest in solving real-life problems with data. Jay has experience in the skills of data science including Statistical Learning, Machine Learning, Data Wrangling, Exploratory Data Analysis, Creative Data Visualization, and has a tool-kit that includes Python, R, Spark/PySpark, Tableau, Power BI, Excel, SQL, AWS, HIVE, Machine Learning, Statistics, Neural Networks, Deep Learning, ANN, NLP, Customer Segmentation, Consumer Insights, Purchase Analytics, Business Science Framework, and Getting Things Done (GTD). Jay is a born learner, open to new ideas and opportunities, and believes in teamwork. He applies data analytics to solve business problems, and curiosity drives him when utilizing Analytics to deliver insights and results that matter to organizations. Jay is motivated by learning, innovation, and impact at work. In his previous roles, Jay served as a Mentor - Data Science, Advanced Analytics & Project Coach at Great Learning, where he mentored a fellow going through the 1-year intensive PGP program in Management (Analytics specialization), Machine Learning/Data Science/Business Analytics/Business Intelligence & for B2B Analytics Programs. He also worked as a Senior Analyst - Data Scientist, Growth at DailyRounds, where he wore many hats, working closely with the CEO, Tech, Product, & Sales teams to do product marketing, sales enablement, and outbound marketing automation. Jay has a PG in Business Analytics, Business Intelligence, Data Science, Statistics & Machine Learning from the University of Texas at Austin and Great Lakes Institute of Management, and a Bachelor of Engineering (B.E.) in Information Technology from Acharya Institute of Technology. His TechStack includes Software Engineer, SQL, ML, Data Scientist, Python, AWS, Deep Learning, NLP, Spark, Neural Networks, and Apache Hive.