Sanjana Waghray

AI Researcher

United States1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built real-time multimodal agents with 92% precision.
Managed $500M+ in notional exposure with statistical rigor.
Designed ML-driven recommendation filters improving engagement.

Stackforce AI infers this person is a Data Science expert specializing in AI solutions for Fintech and SaaS industries.

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Skills

Core Skills

Machine LearningOptimization AlgorithmsCollaborationQuantitative ReasoningFinancial Data AnalysisQuantitative AnalyticsA/b TestingData ManagementNatural Language Processing (nlp)Predictive AnalyticsData AnalyticsActuarial Science

Other Skills

Deep LearningTime ManagementAttention to DetailPython (Programming Language)Microsoft Power BIRetention AnalysisLarge Language Models (LLMs)Model Fine-TuningSentiment AnalysisGenerative AIExplainable AI (XAI)CommunicationResearchMicrosoft ExcelMachine Learning Algorithms

About

Sanjana Waghray is a Data Science graduate student at the Illinois Institute of Technology specializing in Agentic AI, LLMs, and Scalable Neural Infrastructure. She bridges the gap between high-level research and production engineering, having built real-time multimodal agents (TAVI) with 92% precision and sub-200ms latency. Her technical work is anchored by a rigorous foundation in Applied Statistics and Analytics. This allows her to apply probabilistic reasoning and statistical rigor to high-stakes environments, such as managing $500M+ in notional exposure. Whether optimizing Bayesian frameworks or diagnosing complex datasets as an awarded "Data Detective," she focuses on building AI solutions that are as interpretable as they are high-velocity. Explore her technical portfolio and projects at sanjanawaghray.com.

Experience

1 yr 2 mos

Total Experience

5 mos

Average Tenure

4 mos

Current Experience

Labelmaster

Data Science Co-op

Jan 2026 – Present · 4 mos · Chicago, Illinois, United States

Illinois institute of technology

2 roles

Research Assistant

Sep 2025 – Dec 2025 · 3 mos · Chicago, Illinois, United States

Conducting research on Bayesian Optimization with low-discrepancy sampling, combining Monte Carlo methods, and deep learning concepts for improved model convergence
Prospective plan of experimental pipelines using Python, PyTorch, and QMCPy, to achieve 15–20% faster optimization
Exploring quantitative finance applications such as risk analytics and option pricing - linking optimization efficiency to real-world decision modeling

Deep LearningMachine LearningOptimization Algorithms

Teaching Assistant

Aug 2025 – Dec 2025 · 4 mos · Chicago, Illinois, United States

Assisting faculty in Probability & Statistics and Calculus courses, supporting and grading assignments, labs, and tests for 150+ students
Lead weekly lab/problem-solving sessions and office hours to clarify key concepts and improve student comprehension
Strengthening foundations in mathematical modeling and data interpretation, while mentoring students in analytical thinking and applied data skills

Time ManagementAttention to DetailCollaborationQuantitative Reasoning

Open avenues foundation

Financial Analyst Consultant - Trading Operations

Sep 2025 – Dec 2025 · 3 mos · Chicago, Illinois, United States · Remote

Supported finance-style reconciliation and reporting workflows by validating 300+ trades and comparing expected vs actual positions and $500M+ in notional exposure, mirroring forecast and close processes.
Performed variance analysis and automated reporting using SQL and Python to identify 13+ reconciliation breaks and key risk drivers, improving reporting accuracy and scalability.

Quantitative AnalyticsFinancial Data Analysis

Camping world

Data Management Intern

Jun 2025 – Aug 2025 · 2 mos · Chicago, Illinois, United States · Hybrid

Engineered SQL-based segmentation logic for 1.1M+ loyalty members, improving lifecycle strategy insights and optimizing retention KPIs
Built RFM-based clustering models in Python/Pandas to support A/B testing and product experimentation
Partnered cross-functionally with Product & Engineering to translate analytical findings into roadmap decisions

Python (Programming Language)Microsoft Power BIA/B TestingRetention AnalysisData Management

Blu parrot

Data Associate

Feb 2024 – Aug 2024 · 6 mos · Remote

Designed ML-driven recommendation filters improving real-estate search performance by 30%, increasing product engagement and conversion
Performed large-scale sentiment analysis (NLP) for political and financial clients, driving insights for campaign and strategy design
Developed LLM-based wealth management models, boosting personalization accuracy by 25% through fine-tuning and explainability improvements

Machine LearningNatural Language Processing (NLP)Large Language Models (LLMs)Model Fine-TuningSentiment AnalysisGenerative AI+1

Ztudium- maker of industry 4ir tech ai blockchain blocksdna & data driven research intelligenthq

Data Analyst Intern

Aug 2022 – Nov 2022 · 3 mos · Remote

Enhanced data integrity for financial reporting systems through extensive data cleansing and validation, improving accuracy and reliability by 15%
Applied statistical modeling and segmentation analysis on customer data to uncover behavioral patterns, leading to 20% stronger insight generation and more targeted marketing strategies
Cleaned data and prepared features for modeling; summarized results in clear, action-focused briefs.

Financial Data AnalysisPredictive AnalyticsCommunication

Ey

Actuarial Intern

May 2022 – Jul 2022 · 2 mos · Mumbai, Maharashtra, India

Built statistical models for pension risk forecasting, enhancing policy decision accuracy by 20%
Automated data pipelines and reporting dashboards, reducing processing time by 15% and improving delivery consistency across teams
Delivered risk/actuarial analyses and clear reports to support the new pension scheme.

ResearchMicrosoft ExcelData ManagementActuarial ScienceData AnalyticsTime Management