Smart India Hackathon 2025
Grand Finalist — AI-Powered Risk-Aware Business Financing & Early-Warning Platform
Open to research & internships
Moksha
Tirumalasetty
Data Science Student | Stanford WiDS Ambassador | President & Founder, Synapse Club | Fintech Researcher
Applying AI, machine learning and explainable models to financial markets and quantitative research.
◆ Quantitative Finance◆ Explainable AI◆ Machine Learning◆ Market Risk Modeling◆ Open Source◆ Python◆ XGBoost◆ Time-Series◆ Quantitative Finance◆ Explainable AI◆ Machine Learning◆ Market Risk Modeling◆ Open Source◆ Python◆ XGBoost◆ Time-Series
About
Where data science meets markets
I'm pursuing my B.Tech in Computer Science and Engineering (Data Science) at ACE Engineering College (ACEEC), building at the intersection of artificial intelligence and finance.
My focus: applying AI, Machine Learning and explainable AI models to financial markets and quantitative research — making complex risk systems transparent and trustworthy.
WiDS Ambassador
Stanford WiDS Worldwide
Serves as a representative for Stanford university in a worldwide initiative, promoting data science education, community engagement, and regional technical events.
Founder
WealthCode Club
Established student organization centered on fintech, algorithmic trading, and quantitative finance to help peers build real-world skills at the intersection of finance and technology.
Founder & President
Synapse Club
Empowering students through hands-on technical literacy, industry mentorship, and practical data analytics.
Active Member
IIC ACEEC & NEC IIT Bombay Team
Actively involved in campus innovation and entrepreneurship ecosystems through the Institution's Innovation Council (IIC) at ACEEC and the National Entrepreneurship Challenge (NEC) by IIT Bombay.
Achievements
Key honors & recognition
WorldQuant BRAIN
Silver Rank in quantitative financial modeling
ElevateX Innovation Challenge — Ideathon 2026
Certificate of Contribution with Leadership Distinction — Student Coordinator (Team Axon, ACE Venture X, ACEEC, E-Cell IIT Bombay, Eureka!, NEC)
WiDS Ambassador
Stanford WiDS Worldwide — representing and growing the Women in Data Science community
Synapse Club
Founded and lead the club, empowering students through hands-on technical literacy, industry mentorship, and practical data analytics
Competitions
Hackathons & competitions
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LaunchPadX 2026
National Innovation Hackathon Participant
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Gemini Cup 2.0
Competitor — Google Student Ambassador Program
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FOSS Hackathon
Open-source software contributor
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QuizOff 2026
National level competition participant
Featured Work
Technical projects
Fintech Risk Engine
Dynamic business health scoring, anomaly detection, time-series risk deterioration, and RBI NBFC-P2P compliant OAuth2/JWT secure workflow engines.
PythonOAuth2Risk Modeling
AI/ML Predictive Models
Supervised and unsupervised algorithms for classification, forecasting and clustering.
Scikit-LearnXGBoostPandas
Quantitative Finance Research
Mathematical and statistical market models, including work inspired by Nobel laureate Thomas Sargent.
EconometricsStatistics
Open Source & Platform Architecture
FOSS contributions and scalable RESTful API and database schema design.
FOSSAPIsDatabases
Skills
Technical toolkit
AI & Machine Learning
PythonScikit-LearnXGBoostPandasNumPyExplainable AI (SHAP)
Quantitative Finance
Market Risk ModelingTime-Series AnalysisStatistical ModelingRisk Deterioration Signals
Engineering & Platforms
RESTful APIsOAuth2 / JWT SecurityDatabase Schema DesignOpen Source (FOSS)Git
Proficiency
Skill proficiency & scores
Skill Proficiency
Python & Data Science 90%
AI & Prompt Engineering (GenAI/LLMs) 85%
SQL & Data Analysis 80%
FastAPI & Backend Development 75%
NPTEL Performance & Scores
Programming, Data Structures & Algorithms Using Python (NPTEL) 78%
Data Science for Engineers (NPTEL) 72%
Blog & Insights
Writing & research notes
Technical write-ups on quantitative finance, market risk modeling, explainable AI, and community initiatives for women in data science.
Market Risk Modeling in Practice
From volatility estimation to time-series risk deterioration — how statistical models translate into early-warning signals.
Explainable AI for Financial Decisions
Why a black-box credit model is a compliance risk — and how SHAP-style explainability builds trust.
Notes on Quantitative Research
Reflections on mathematical market models and the ideas of Nobel laureate Thomas Sargent.
Women in Data Science
Community initiatives, mentorship and building inclusive technical spaces through WiDS.
Credentials
Certificates & Achievements
NPTEL & Academic Certifications
- ✦Programming, Data Structures and Algorithms Using Python — NPTEL (78%) · Jan–Mar 2026
- ✦Data Science for Engineers — NPTEL (72%) · Jan–Mar 2026
Industry & Professional Simulations
- ✦Data Analytics Job Simulation — Deloitte (Forage) · Jan 2026
- ✦Data Visualisation: Empowering Business with Effective Insights — TATA (Forage) · Feb 2026
- ✦Python Data Structures and Algorithms — Infosys Limited · May 2026
- ✦AI for Business Professionals — HP LIFE · Feb 2026
- ✦Starting a Small Business — HP LIFE · Feb 2026
- ✦Microsoft 365 Copilot Series (Chat, Smart Work & Prompt Engineering) — Microsoft · Mar 2026
- ✦Google Cloud Badges (Intro to GenAI, LLMs & Responsible AI) — Google Cloud
Hackathons & Competitions
- ✦Smart India Hackathon 2025 — National Grand Finale Participant · Dec 2025
- ✦LaunchPadX 2026 — National Innovation Hackathon (Team: Attack On Code) · Aug 2026
- ✦Smart India Hackathon 2025 — ACE Internal Ideathon Participant · Sep 2025
- ✦Gemini Cup 2.0 × Fund My Crazy — Team Gemini (GSA) · Aug 2026
- ✦TRIQ: Think Twice — Battle of Brains Achievement Award by OutthinkX · Jun 2026
- ✦QuizOff 2026 — India's Biggest AI Quiz by CampusCrew & Unstop · Jul 2026
Technical Workshops & Specializations
- ✦FastAPI Backend Bootcamp — SkillEcted Campus Program · Feb 2026
- ✦Generative AI Mastermind — Outskill
- ✦Python & SQL Using AI Workshops — AI for Techies · Sep 2025
- ✦Introduction to Data Analytics — Simplilearn / SkillUp · Feb 2026
- ✦CampusCrew 100K Milestone Honor — Global Community Contributor · Jun 2026
Contact
Let's connect
Whether it's research collaboration, an internship opportunity, or a conversation about quant finance and AI — I'd love to hear from you.
Send a message
I'll get back to you as soon as I can.