Yuvraj Singh Bhadoria

AI Researcher

Greater Delhi Area3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building production-grade LLM and RAG systems.
Led automation projects reducing processing time significantly.
Achieved substantial cost savings through data-driven strategies.

Stackforce AI infers this person is a Fintech and SaaS expert specializing in AI-driven data solutions.

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Skills

Core Skills

Ai EngineeringMachine LearningData ScienceAutomationData AnalysisAnalyticsBusiness Intelligence

Other Skills

Financial AnalysisPython (Programming Language)Natural Language Processing (NLP)PythonSQLPower BITableauAttention to DetailData toolsPandasData ScrapingData CurationRelational DatabasesData GovernanceProduct Analytics

About

I’m an Applied AI Engineer building production-grade LLM and RAG systems with 3.5+ years of experience across Finance, Insurance, and Energy. I specialize in AI-first systems that combine NLP, Generative AI, and data engineering to deliver real-world business impact. I’ve led projects that: Developed enterprise knowledge copilot assistants and GPT-powered chatbots, reducing response times from hours to minutes Implemented RAG pipelines with LangChain, FAISS, and Pinecone for accurate, grounded retrieval Fine-tuned LLMs for domain-specific tasks like financial document analysis and automated reporting Integrated AI into dashboards and automation workflows for faster, data-driven decisions I focus on end-to-end ownership—from design and deployment to monitoring—thriving in remote-first, high-impact teams. Explore my projects on GitHub:github.com/YuvrajSinghBhadoria2

Experience

3 yrs 5 mos

Total Experience

1 yr 3 mos

Average Tenure

11 mos

Current Experience

Bank of america

AI/ML Engineer

Jun 2025 – Present · 11 mos · Gurugram, Haryana, India · Hybrid

Financial AnalysisPython (Programming Language)AI EngineeringMachine Learning

Pbpartners

Senior Data Scientist

Feb 2025 – Jun 2025 · 4 mos · Gurugram, Haryana, India · On-site

Automated critical business reports using Python-SQL pipelines, reducing processing time by 40% and improving decision turnaround
Optimized stored procedures and complex SQL queries, reducing execution time from 1 hour to under 3 minutes
Developed and maintained interactive dashboards using Power BI and Tableau for operations, claims, and compliance teams
Collaborated with cross-functional teams (Payout, Finance, Product) to identify anomalies, leading to improved reconciliation accuracy
Spearheaded reporting automation initiatives, increasing reporting efficiency by 25% and enabling real-time business insights
Designed exception-driven reports to flag payout and provisioning mismatches, enhancing financial transparency
Led root cause analysis using data storytelling to resolve operational issues and drive data-backed decisions
Integrated multiple data sources (SQL, Excel, APIs, AWS) into unified reporting structures
Contributed to AWS RDS monitoring using CloudWatch + Lambda to automate high-CPU session cleanup
Worked on cohort analysis, funnel optimization, and retention reporting for insurance business stakeholders
Initiated integration of GPT-based insights into BI dashboards (GenAI POC) for narrative generation
Collaborated on internal experimentation for AI-based report summarization and stakeholder chatbots
Engaged in continuous upskilling in AI, ML, and LLMs to support business automation and GenAI readiness

Data AnalysisNatural Language Processing (NLP)Data ScienceAutomation

Infosys

Data Scientist

Dec 2022 – Feb 2025 · 2 yrs 2 mos · Gurugram, Haryana, India · Hybrid

● Streamlined the recruitment process by utilizing Pandas for data mining and Power BI for Visualization, resulting in a
45% increase in hiring efficiency and $1.2 million in cost savings.
● Collaborated with the audit team to create Power BI dashboards for newly established accounts and categories,
enabling real-time tracking of compliance, revenue at risk, and critical issues. Impact: Sped up decision-making by
~20-30%.
● Developed a cohort analysis model leveraging Python for data segmentation and Power BI for dynamic visualizations, enabling insights into user retention patterns and behavior trends, resulting in a 25% increase in customer retention and a 15% boost in revenue growth.
● Conducted in-depth analysis of LTV and CAC with Python and Power BI, resulting in streamlined acquisition costs and enhanced lifetime customer value .
● Key Projects: Smart Grid Optimization, Energy Performance Monitoring, NC tracking, ESG Compliance, Supply
Chain Audit, Recruitment Analytics, and Offer Management.
● Honored by the Co-Head Delivery for ESG compliance Task, for getting Infosys Asset Corporate Award and the
FICCI Sustainability Champion title.