2007-2009

Business Analyst at Modelytics

I played a pivotal role in consumer credit across a spectrum of products including Credit Cards, Mortgage loans, Auto loans, and Niche Specialty Loans. My focus within Risk and Marketing Analytics functions led to notable achievements, such as formulating a fraud strategy for a major U.S. bank in the specialty loan segment. I successfully implemented Scorecards, replicating the IRS' tax refund application scrutiny process, effectively identifying frauds in the income tax refund anticipatory loans portfolio. Additionally, I spearheaded the development of a Pricing Decision Engine, optimizing pricing decisions for new acquisitions to maximize customer lifetime value. In a competitive business environment, I crafted a retention strategy for a sub-prime mortgage portfolio.

2009-2011

Analyst at HSBC

I played a key role at HSBC's North America Retail Private Label Credit Cards division. As part of Marketing Analytics, I developed Profit-Based Segmentation strategies for retail card portfolios, ensuring optimal returns on marketing investments. Regularly conducting in-depth analyses on major retail store credit portfolios, I provided strategic insights for decision-making. Additionally, I led consulting initiatives for merchant partners, designing 'win-win' campaigns based on customer loyalty. My role also involved standardizing processes for improved efficiency and establishing expertise in Co-branded credit cards. Explore further to discover the impact of my contributions during this period.

2012-2014

Manager at Genpact

my role at Genpact involved managing risk engagement with a major European financial services provider. Leading a team of analysts, we oversaw credit risk reporting and scorecard development across the UK, Benelux, and Austria. I was instrumental in developing, implementing, and monitoring acquisition (A-score) and portfolio (B-score) risk scorecards, along with segmentation-based risk strategies for diverse lending products such as personal loans, auto loans and leases, credit cards, structured finance products. In response to a challenging cross-sell rate scenario, I developed a cross-sell response model that resulted in a significant increment of over 15% in response rates. Additionally, I conducted thorough secondary research to identify issues and opportunities in the European market

2016 - 2019

Director at Lymbyc

I owned the data science consulting vertical. Notably, I conceptualized and prototyped Leni, a product later acquired by LTI and rebranded as Lumin. I led a team of talented data scientists and analysts, successfully overseeing consulting engagements exceeding $2 million. Collaborations included a B2B2C e-commerce marketplace, an Indian Microfinance company, and a US hospital network. My role involved delivering impactful solutions in sales forecasting, segmentation, price optimization, route optimization, acquisition models, and risk scorecards. Additionally, I actively promoted the product at NASSCOM conferences and maintained strong ties with academia, serving as a visiting faculty and interview panel member for SCMHRD’s MBA (BA) program

2019 - 2022

Associate Principal at LTI

I served as the Head of Data Science Product Development & Consulting. I established a team for crafting customized data science solutions and created an AIML product at Lumin, a B2B NLP-based Virtual Investigative Analytics tool. Leading a team of data scientists and analysts, I maintained high productivity and low attrition through coaching and mentoring. I successfully evangelized the AIML roadmap among sales teams, resulting in increased pitches and demos. Recognized as an analytics translator for senior leadership and clients, I delivered key solutions, including an e-commerce brand pricing and opportunity insights product, an NLG-based narrative engine, Upsell/Cross-sell campaign strategy for a multinational African retail bank, and an anomaly detection system.

2022 - Present

Cofounder & Head of AI at Yarnit

As Co-Founder and Head of AI at Yarnit, I spearhead the AI vision and leadership, steering the AI & ML feature roadmap and LLM stack for yarnit.app. My role involves managing a team of data scientists, specializing in Large Language Models using services like OpenAI GPT 3.5/GPT4, Anthropic Claude, and fine-tuned LLMs from Hugging Face on AWS. I oversee in-house NLP and ML models for tasks like idea generation and content audit, and I integrate diffusion model services such as OpenAI Dall.E 2 and Stability.ai Stable Diffusion.