Shivam Kushwaha — Data Scientist

I am a Data Scientist with expertise in machine learning, financial modeling and NLP focused on building scalable, real-time data products that deliver measurable impact. At Paytm, I redesigned and deployed the Lender Recommendation Engine with <10ms latency, integrating 10+ lender-specific models into a unified framework. This drove a 30% reduction in lead count while maintaining loan ratios and doubled conversion rates for multiple lender journeys. I also developed NLP-driven pipelines for TTS model inferencing, look-alike identification models with a 72% capture rate, and cohort-based targeting models that increased funnel efficiency by 4x, enabling precision marketing. My experience spans speech recognition and machine translation pipelines, where I applied open-source models like Whisper and NeMo to transcribe and translate bilingual call center data, boosting performance metrics by 65%. At Anahit Pvt Ltd, I designed macroeconomic indicators (e.g., Global Liquidity Index, Recession Indicator) and leveraged ML to generate insights across Indian and Australian markets, supporting short- to mid-term trading strategies. In parallel, I am building Bharat Finance, a terminal based solution for Indian equity research with features like real-time stock analytics, technical indicators, and option chain insights. I thrive at the intersection of AI, finance, and product innovation, delivering solutions that bridge data science with high-value business outcomes.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and AI-driven product innovation.

Location: New Delhi, Delhi, India

Experience: 3 yrs