Mragank Sharma

AI Researcher

Nagpur, India0 mo experience

Key Highlights

Achieved 59% directional accuracy in stock forecasting.
Designed a stock-selection strategy generating +5.28% alpha.
Strong foundation in quantitative finance and machine learning.

Stackforce AI infers this person is a Fintech-focused quantitative analyst with strong machine learning capabilities.

Contact

mragank001@gmail.com 9518568630 LinkedIn

Skills

Core Skills

Quantitative FinanceMachine LearningQuantitative ResearchPortfolio Management

Other Skills

Algorithmic TradingAlgorithmsAnalytical SkillsC++CalculusCommunicationData AnalyticsData PipelinesData ScienceData StructuresDeep LearningDerivativesDirectional ForecastingDynamic ProgrammingEquity Trading

About

Aspiring quant analyst with a strong foundation in statistics, time series analysis, and machine learning.

Experience

National institute of technology calicut

Undergraduate Researcher

Sep 2025 – Nov 2025 · 2 mos · Remote

Built a 24-stock market graph with 12 OHLCV-based technical features and trained multiple Graph Attention Network models for directional forecasting.
Achieved 59% directional accuracy with a 0.69 std-ratio, outperforming traditional baselines.
Designed a long-only top-k stock-selection strategy generating +5.28% alpha (in-sample) and +4.16% alpha (out-of-sample), with full portfolio-size sensitivity analysis.

Graph Attention NetworkTechnical FeaturesDirectional ForecastingStock-Selection StrategyPortfolio AnalysisQuantitative Research+1

Quantitative finance cohort'25

Quant Delegate

Apr 2025 – Present · 11 mos · Remote

An intensive program covering the full spectrum of Quantitative Finance, including Mathematical Finance, Financial Derivatives pricing and trading, Volatility Models, Interest Rate Models, Portfolio Theory, ML and Risk, Trading and Development with hands-on projects, assessments, and mentorship.

Mathematical FinanceFinancial DerivativesVolatility ModelsInterest Rate ModelsPortfolio TheoryMachine Learning+2