Abhishek Jain

• Developed SaaS predictive analytics tool on AWS EC2, to forecast demand and sales for a company.
• Devised a scalable solution, business model and market strategy to grow the business.

• Examined the airline traffic in USA using exploratory data analysis for visualizing the flight delays.
• Identified the factors that contribute more to these delays and recommended the kind of changes that could minimize them.

• Impact analysis of residential building attributes, household demographic, and behavioral characteristics on energy usage.
• Built classifiers (Random Forest, SVM, Naïve Bayes) to identify high and low energy households.
• Devised an advisory engine that identifies factors, which need tweaking, in order to reduce energy consumption.

• Designed and implemented views and other application database code objects including ER and Schema.
• Ensured best practices to maintain security and integrity of data.
• Maintained SQL scripts indexes and complex queries for analysis and extraction of business intelligence report for better planning.

• Used Earned Value Management concept to measure project triangle.
• Analyzed the possibility of Critical chaining, and tweaked the project plan, timelines and resources accordingly.

• Analyzed income statements, balance sheets, and cash flow statements to identify trends using Longitudinal and Benchmarking methodologies.
• Worked through Leverage, Liquidity, Operating, Profitability, and Book to Market ratios against industry benchmark to determine underperforming areas.
• Made recommendation on how the company can improve its financial stature.

• Rewired Claim Status application, making it responsive.
• Currently, 5,000 customers use the functionality daily; expected a surge of 5,000 in traffic after full deployment.

• Created an intelligent system to reduce the claim filing time using the Conversation Architecture for better user experience. Responses by the user were used to set the base of forthcoming questions.
• On an average, a minute saved per claim, and approximately 1000 claims are filed every day.

• Devised a data driven one stop shop in Claim Status Application for customers to keep track of their claims. Also contributed in UI design and implementation.
• Approximately 3000 users use Claim Status Bar daily.

• Revamped the Floating-Point Processor to carry out operations on floating point number in Very High Speed Integrated Circuit Hardware Description Language(VHDL).

• Remodeled license plate recognition process using Digital Image Processing in MATLAB to efficiently retrieve the license plate numbers, generate toll receipts and buzz an alarm for blacklisted vehicles.
• Authored a paper on ‘License Plate Recognition for Toll Management’. Received an invitation to present it at the ICDIP May 2012(Netherlands), the ICCSS August 2012 (Hong Kong) and the ICIIP July 2012 (China.