Bhoomi Choudhary — Associate Consultant

Book a 1:1 - https://topmate.io/bhoomi_choudhary/ Through structured 1:1 sessions, I’ve helped multiple candidates from non-traditional and non-technical backgrounds gain clarity and confidence in transitioning towards quant roles. "In God we trust; all others must bring data." – W. Edwards Deming I’m a Quantitative Researcher & Developer passionate about building technology that powers modern trading and finance. With a B.Tech from IIT Kanpur, I’ve worked at the intersection of quantitative finance and applied AI/ML, delivering measurable results in both live and backtested environments. At Sapien Plus AI, I built and backtested systematic trading models that achieved a 65% win rate on NASDAQ strategies, boosted annualized returns by 12–15%, and reduced execution latency by 25%. I designed portfolio and trade management tools, along with execution algorithms such as VWAP, TWAP, and liquidity-adaptive strategies, cutting slippage and transaction costs by up to 30%. My quantitative risk modules, incorporating VaR and Expected Shortfall, lowered drawdowns by 18%. I also created backtesting frameworks with Monte Carlo simulations and walk-forward validation across 8+ years of tick and daily data, ensuring strategies remained robust under different market regimes. My experience extends beyond trading into practical AI/ML applications. At Mente Consultancies, I strengthened AML systems for leading banks, improving anomaly detection efficiency by 60% and reducing false positives by 70%, while restoring and automating critical alert generation pipelines. In EdTech, I developed adaptive learning engines that increased student engagement by 75% across 12,000+ practice tests, and deployed scalable applications on AWS with 99.9% uptime. What excites me is combining quant rigor, engineering depth, and applied AI to solve high-impact problems. Whether it’s building portfolio and risk management systems, automating data pipelines, or applying AI to financial research, I enjoy working on technology that drives smarter trading decisions. Let’s connect if you’re passionate about quantitative trading, AI-driven solutions, or building impactful technology.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and AI-driven solutions.

Location: Dhanbad, Jharkhand, India

Experience: 2 yrs 5 mos

Skills

Quantitative Research
Quantitative Risk Analysis
Machine Learning
Portfolio Management
Full-stack Development
Ui/ux Design
Recommendation Systems
Quantum Computing
Frontend Development

Career Highlights

Achieved 65% win rate on NASDAQ strategies.
Improved anomaly detection efficiency by 60% in AML systems.
Developed adaptive learning engines increasing engagement by 75%.

Work Experience

Confidential

Quantitative Research Analyst (8 mos)

Research Intern (2 mos)

Sapien+AI

Quantitative Research Analyst (8 mos)

Full-stack Developer (5 mos)

INNOVALANCE LEARNING SYSTEMS

Subject Matter Expert - Artificial Intelligence (4 mos)

Microsoft

Apprentice (3 mos)

Rhapsody

Research Assistant (3 mos)

Stamatics, IIT Kanpur

Mentor (4 mos)

PracBee

Frontend Developer (5 mos)

Entrepreneurship Cell, IIT Kanpur

Secretary SIP (8 mos)

Techkriti, Indian Institute of Technology Kanpur

Junior Executive (1 yr)

Education

Bachelor's degree at Indian Institute of Technology, Kanpur

school at Delhi Public School dhanbad

Bhoomi Choudhary

Associate Consultant

Dhanbad, Jharkhand, India2 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 65% win rate on NASDAQ strategies.
Improved anomaly detection efficiency by 60% in AML systems.
Developed adaptive learning engines increasing engagement by 75%.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and AI-driven solutions.

Contact

Skills

Core Skills

Quantitative ResearchQuantitative Risk AnalysisMachine LearningPortfolio ManagementFull-stack DevelopmentUi/ux DesignRecommendation SystemsQuantum ComputingFrontend Development

Other Skills

Statistical ResearchNumber CrunchingResearch SkillsResearch ProjectsResearch SupportGame TheoryLong Short-term Memory (LSTM)Linear RegressionArtificial Intelligence (AI)Sharpe ratioBloomberg TerminalProgram TradingCreative CodingHTMLCascading Style Sheets (CSS)

About

Experience

2 yrs 5 mos

Total Experience

9 mos

Average Tenure

8 mos

Current Experience

Confidential

2 roles

Quantitative Research Analyst

Oct 2025 – Present · 8 mos · Sweden · Remote

Led mathematically grounded quantitative research focused on hypothesis formulation, statistical validation, and model interpretability across liquid markets.
Designed and tested hypothesis-driven research experiments to study strategy behavior across different volatility and market regimes.
Conducted time-series analysis and statistical testing to evaluate signal stability, autocorrelation effects, and regime dependence.
Analyzed model assumptions and failure modes, including sensitivity to transaction costs, data frequency, and parameter choices.
Performed robustness checks such as sub-period testing, stress scenarios, and out-of-sample validation to avoid overfitting.
Worked closely with traders to translate research findings into practical decision frameworks and risk considerations.
Partnered with quantitative developers to ensure research logic was implementable and aligned with production constraints.
Supported research and strategy development for a portfolio managing approximately USD 3 million in AUM, while adhering strictly to confidentiality requirements.

Quantitative Risk AnalysisQuantitative ResearchStatistical ResearchNumber Crunching

Research Intern

Jul 2025 – Sep 2025 · 2 mos · Sweden · Remote

Built research notebooks for exploratory data analysis and preliminary statistical testing on market data.
Assisted in backtesting prototypes with attention to assumptions, data leakage, and regime behavior.
Conducted literature review and mathematical derivations to support ongoing research initiatives.
Developed familiarity with end-to-end research workflows, from question formulation to validation and interpretation.

Research SkillsResearch ProjectsResearch Support

Sapien+ai

2 roles

Quantitative Research Analyst

Jun 2024 – Feb 2025 · 8 mos · India · Remote

Objective: Optimized algorithmic trading strategies for trading capital, focusing on maximizing returns and minimizing risk.
Approach:
Implemented ML models like Linear Regression, LSTM, XGBoost, and ensemble methods using Python.
Backtested strategies using 5 years of historical data with 65% predictive accuracy.
Utilized Bloomberg Terminal for data analysis and Alpaca API for automated trading execution.
Implemented real-time risk monitoring using VaR and Sharpe ratio calculations.
Result:
Achieved a 70% win rate, resulting in a 15% increase in portfolio returns.
Reduced portfolio volatility by 20% and execution latency by 25%.

Game TheoryMachine LearningLong Short-term Memory (LSTM)Linear RegressionArtificial Intelligence (AI)Portfolio Management+4

Full-stack Developer

May 2024 – Oct 2024 · 5 mos · India · Remote

Objective: Designed an interactive EdTech platform for CUET preparation.
Approach:
Used React.js with Redux for dynamic UI and Django for backend development.
Integrated secure authentication via OAuth 2.0 and enhanced database performance by 40%.
Deployed CI/CD pipelines on AWS EC2 using Docker and Jenkins.
Result:
Onboarded 5,200 users in the first month and increased engagement by 75%.
Reduced server response time by 50% through backend optimizations.

HTMLCascading Style Sheets (CSS)JavaScriptReact.jsDjangoUi/Ux+6

Innovalance learning systems

Subject Matter Expert - Artificial Intelligence

Oct 2023 – Feb 2024 · 4 mos · Bengaluru, Karnataka, India · Remote

Microsoft

Apprentice

May 2023 – Aug 2023 · 3 mos · Hyderabad, Telangana, India · Remote

Objective • Developed a recommendation application inspired by Netflix’s algorithm, utilizing collaborative filtering and content-based approaches to enhance user experience as well as content deliverability
Approach •Utilized Python for back-end development, employing libraries such as sci-kit-learn and TensorFlow to build and fine-tune machine learning models based on content-based approaches to enhance user experience.
Designedafrontendinterfacetointegratetheenhancedrecommendationengineintotheapp’suserinterface.
Optimized database queries and caching mechanisms to ensure efficient retrieval and delivery of personalized content.
Implemented A/B testing framework to assess the effectiveness of different strategies like collaborative filtering
, content-based filtering, and also a hybrid, leading to data-driven decision-making for further improvements.
Result • Successfully integrated algorithms into a production environment,ensuring smooth operation for a growing user base

Machine LearningKnowledge Graph-Based RecommendationRecommendation SystemSci-kitTensorFlowRecommendation Systems

Rhapsody

Research Assistant

Jan 2023 – Apr 2023 · 3 mos · Thiruvananthapuram, Kerala, India · Remote

Mentored 100+ students (grades 10–12) on ML/AI projects, including applications for autism support.

Stamatics, iit kanpur

Mentor

Nov 2022 – Mar 2023 · 4 mos · Kanpur, Uttar Pradesh, India · On-site

Mentored 90+ students on quantum mechanics and quantum computing.
Helped students implement projects using Qiskit by IBM.
Followed Quantum Theories along with the book Quantum Computation and Quantum Information by Nielsen and Chuang

Pracbee

Frontend Developer

May 2022 – Oct 2022 · 5 mos · Gurugram, Haryana, India · Remote

Redesigned the "Abhyas" educational app UI, boosting user engagement by 65%.
Developed interactive user interfaces using Angular and Vue.js, integrating with AWS for data retrieval.
Conducted rigorous UI/UX testing to deliver a polished, responsive application.

Quantum MechanicsQuantum ComputingQiskit