Developing quantitative execution strategies to minimise shortfall with the help of market impact estimation, and alpha prediction.

Web based in-database analytics:• Designed and implemented a web-portal to carry out in-database analytics and integrate various maths-models• Automated manipulating, cleansing & processing of uploaded datasets with further validation to infer types• Monitoring the automated job processes which handled file-loading and running analysis• Implemented and integrated new maths-models as Store Procedures in the database using SQL commands• Illustrated qualitative and quantitative data using visualization in the form of dynamic graphs

• Techkriti is an annual international technological and entrepreneurial festival organized by the students of Indian Institute of Technology, Kanpur. • Grown into one of the grandest technical student festival of Asia, with a budget of ₹ 3.37 croresLeadership:• 30,000 participants, 1000+ from countries like China, Kuwait, Poland, Russia, UAE, USA, and others• Contributed, as a part of 20 member team, towards the overall successful conduction of Techkriti’15• Team of 45 Managers, 104 coordinators and over 150 secretaries put their best under my guidance for the conduction of 17 Zonal events at major cities all over India, over 45 competitions, 25 WorkshopsInitiatives:• All India Student Research Convention: A platform for the excellent research minds in the country, with entries in the form of patents, projects and papers, for a total prize money of ₹ 3.5 lacs• Industrial Conclave: Provided the budding engineers an insight into the industry from the current leaders• TOSC: An aptitude and logical reasoning test for kids, from class 9th - 12th, from Kanpur and Lucknow • TechnoCruise: Under the vision to educate and provide skill-development opportunities, free of cost to all, competitions and workshops were held in Kuwait and 17 Indian cities including Mumbai, Kolkata, Noida, Jaipur, Guwahati, and Bhubaneswar which saw an enthused response with over 35,000 footfalls• Startup Weekend: Orchestrated a 54-hour event, powered by Google, where developers, designers, marketers, and product managers came together to share ideas, build products and launch startups

Movie-Recommendation Engine: http://movie-reco.com • Implemented a recommendation system using collaborative filtering k-means nearest neighbor method• Used public domain Netflix Prize dataset. Scrapped additional data from IMDB and Amazon to enhance user experience • Developed the full stack for the web-portal using the ASP.NET framework• Played with orthogonal partial least square regression to remove the dependency on the user inputFurthermore made a quite accurate prediction of the results for the Lok Sabha Elections'15, India