Novnit Kashyap Email & Phone Number

1. Leading Gen AI SWAT team2. For a global payments network, led a team of 2 to develop an automated "Smart Training" solution to generate user training documents using Retrieval Augmented Generation (RAG) powered by an open-source LLM (Llama2) hosted on premise.3. For a global payments network, led a team of 7 to develop an automated "Contracts AI" solution to extract data use provisions from contracts and enforce data governance controls to ensure compliant use of data.

1. For a Fortune 500 Financial Services company, led a team of 3 to optimize Credit Line Increase decisions, i.e., increase EBIT while maintaining line exposure using uplift modeling. Resulted in $44M uplift in annual EBIT over existing CLI strategy for the client.2. For a global investment bank, led a team of 2 to extract digital analytics and marketing insights to assist the CMO drive brand reputation and user engagement on their web applications.

1. For a global financial services company, developed comprehensive data foundation for loan collections and recovery division, and developed predictive models to optimize loan recovery channel for multiple loan portfolios.2. For a US Fin-Tech company, led a team of 2 to develop delinquency and propensity to Pre-Pay models for US mortgages.

New Delhi Area, India

1. For a US HR-Tech company, developed a solution to automatically identify and redact personally identifiable information (PII) from documents such as resume, transcript, and cover letters.2. For a US NBFC firm catering to small and medium enterprises, developed predictive models to optimize business loan offer terms to increase loan uptake and profit per loan.3. For a Fortune 50 Financial Institution, developed predictive models to identify "high value" businesses with high short-term and long-term growth potential to be actively managed by their relationship teams.

Noida Area, India

For a leading cinema chain in Europe, developed a solution to predict the demand of movies and generate profit optimized schedules- Developed and deployed an ensemble of XGBoost models to predict the demand of films based on prior week(s) attendance- Re-designed ticket pricing models to account for change in pricing strategy- Traveled overseas (Shanghai) to train 7 analytics resources for the project- Helped lead team and drive client communicationTechnical Skills:- ML: Linear regression with elastic net regularization, XGBoost, Non-negative Matrix Factorization, K-Means Clustering- Programming: R, SQL, C

Blacksburg, Usa

Developed a proposal for VT to offer professional development courses in India-- Coordinated with stakeholders - VP Outreach & International Affairs, Director Continuing & Professional Education, and various faculty members-- Researched the skills gap in India and estimated the demand of professional development programs particularly in the construction industry -- Studied existing professional development programs to understand course structure and price points by target audience-- Shortlisted cities for offering the courses and the target organizations based on market research

New Delhi Area, India

Helped drive Product Design, Web Analytics and Digital Marketing at an early-stage startup in the travel industry1. Product Design:-- Designed wire frames for mobile app and web widget-- Optimized UX of home page and SEO landing pages to increase conversion-- Developed gamification framework to increase customer engagement2. Web Analytics:-- Tracked user behavior using Mixpanel-- Identified drivers of drop-off at different stages of the conversion funnel-- Addressed above issues, which increased site traffic by 55%3. Digital Marketing:-- Designed marketing campaigns (info graphics, web banners, etc.)-- Deployed campaigns through channels such as email, social, paid search, etc.-- Studied effectiveness of campaigns using Google Analytics and iteratively designed more engaging campaigns

B.Tech-M.Tech Dual Degree

High School