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From building machine learning models to automating data pipelines, I love transforming data and AI into innovative solutions that solve real problems and create real-time impact. With a Master’s from Carnegie Mellon University and hands-on experience in FinTech and AI-driven projects, I’ve worked on everything from risk modeling and portfolio analytics to ETL automation and product optimization. What I can do best - creating data solutions that don’t just analyze (they act!). Whether it’s improving business processes, enhancing user experiences, or uncovering insights that drive growth, I combine my past experience with a strong product mindset to deliver optimized solutions with tight deadlines. Driven by curiosity and impact, I’m always excited to explore how data, AI, and analytics can shape smarter decisions and better products. If that aligns with what you’re building, I’d be happy to connect and collaborate.…From building machine learning models to automating data pipelines, I love transforming data and AI into innovative solutions that solve real problems and create real-time impact. With a Master’s from Carnegie Mellon University and hands-on experience in FinTech and AI-driven projects, I’ve worked on everything from risk modeling and portfolio analytics to ETL automation and product optimization. What I can do best - creating data solutions that don’t just analyze (they act!). Whether it’s improving business processes, enhancing user experiences, or uncovering insights that drive growth, I combine my past experience with a strong product mindset to deliver optimized solutions with tight deadlines. Driven by curiosity and impact, I’m always excited to explore how data, AI, and analytics can shape smarter decisions and better products. If that aligns with what you’re building, I’d be happy to connect and collaborate.

Rachit Nigam

Data Analyst, Data Scientist, AI Engineer, +2

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From building machine learning models to automating data pipelines, I love transforming data and AI into innovative solutions that solve real problems and create real-time impact. With a Master’s from Carnegie Mellon University and hands-on experience in FinTech and AI-driven projects, I’ve worked on everything from risk modeling and portfolio analytics to ETL automation and product optimization. What I can do best - creating data solutions that don’t just analyze (they act!). Whether it’s improving business processes, enhancing user experiences, or uncovering insights that drive growth, I combine my past experience with a strong product mindset to deliver optimized solutions with tight deadlines. Driven by curiosity and impact, I’m always excited to explore how data, AI, and analytics can shape smarter decisions and better products. If that aligns with what you’re building, I’d be happy to connect and collaborate.…From building machine learning models to automating data pipelines, I love transforming data and AI into innovative solutions that solve real problems and create real-time impact. With a Master’s from Carnegie Mellon University and hands-on experience in FinTech and AI-driven projects, I’ve worked on everything from risk modeling and portfolio analytics to ETL automation and product optimization. What I can do best - creating data solutions that don’t just analyze (they act!). Whether it’s improving business processes, enhancing user experiences, or uncovering insights that drive growth, I combine my past experience with a strong product mindset to deliver optimized solutions with tight deadlines. Driven by curiosity and impact, I’m always excited to explore how data, AI, and analytics can shape smarter decisions and better products. If that aligns with what you’re building, I’d be happy to connect and collaborate.

Available to hire

From building machine learning models to automating data pipelines, I love transforming data and AI into innovative solutions that solve real problems and create real-time impact. With a Master’s from Carnegie Mellon University and hands-on experience in FinTech and AI-driven projects, I’ve worked on everything from risk modeling and portfolio analytics to ETL automation and product optimization.

What I can do best - creating data solutions that don’t just analyze (they act!). Whether it’s improving business processes, enhancing user experiences, or uncovering insights that drive growth, I combine my past experience with a strong product mindset to deliver optimized solutions with tight deadlines.

Driven by curiosity and impact, I’m always excited to explore how data, AI, and analytics can shape smarter decisions and better products. If that aligns with what you’re building, I’d be happy to connect and collaborate.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Analyst at POTEST AI INC

July 1, 2025 - November 5, 2025

AI workflow optimization: Designed data-driven automation pipelines integrating ML models into advisor workflows, cutting task time by 35% and doubling engagement. Predictive modelling: Implemented supervised learning algorithms to identify advisor use patterns, improving client task routing efficiency by 30%. Data engineering: Built multi-source data workflows from financial APIs, preparing structured datasets for ML pipelines and BI dashboards. Insight delivery: Partnered with cross-functional teams to translate advisor challenges into AI-driven insights, increasing adoption by 25%.

Data Analyst at TIAA (Teachers Insurance and Annuity Association)

May 1, 2025 - May 1, 2025

Investment Analytics Engine: Designed an ML-powered stock recommendation engine analyzing 500+ equities daily and generating real-time investment insights. Risk & Sentiment Modelling: Integrated FinBERT NLP outputs with risk scores to improve decision-making accuracy by 20% and reduce analysis time by 30%. Predictive Scoring: Applied XGBoost and clustering algorithms for risk scoring (R² = 0.87), visualized through an interactive Streamlit dashboard with <2s latency. Pipeline Automation: Engineered automated ETL workflows for financial data ingestion, boosting portfolio simulation efficiency by 15%.

Data/Risk Analyst at NORTHERN ARC CAPITAL

May 1, 2024 - May 1, 2024

Portfolio Risk Analysis: Conducted deep analysis across 10+ financial partners, reducing risk exposure. Machine Learning Deployment: Productionized ML-based credit scoring pipelines with 10% lift in model accuracy and consistent scaling performance. Feature Engineering: Created 5,000+ engineered features for customer risk models, enhancing credit scoring precision and explainability. BI Reporting: Delivered Tableau and Power BI dashboards to communicate portfolio trends, improving decision-making turnaround time by 40%. Process Automation: Reduced manual data validation errors from 30% to 0.2%, driving a 400% revenue increase (₹10M → ₹50M).