Roshan Dev Prajapati

AI Researcher

Varanasi, Uttar Pradesh, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data-driven insights and quantitative analysis.
Proficient in advanced statistical methods and machine learning.
Strong problem-solving skills with a background in Engineering Physics.

Stackforce AI infers this person is a Fintech and AI specialist with strong quantitative analysis capabilities.

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Skills

Core Skills

NlpModel TrainingData AnalysisQuantitative ResearchAutomationRisk Management

Other Skills

Advanced PandasAlgorithmic TradingAlgorithmsAnalytical SkillsAnalyticsArtificial Intelligence (AI)Artificial Neural NetworksBacktestingBlockchainBusiness AnalysisC (Programming Language)C++CVCascading Style Sheets (CSS)Coding Experience

About

A passionate Quant Analyst with a knack for unraveling complex challenges through data-driven insights. With a degree in Engineering Physics from IIT Guwahati, I thrive on applying my strong problem-solving skills and analytical aptitude to extract meaningful insights from datasets. My technical skills include, but are not limited to, C++, Python, MySQL and I have worked with python libraries such as Numpy, Pandas, Matplotlib, sklearn, Pytorch, Quantlib etc. I have a knack for Statistical methods and its understanding. My exceptional interpersonal skills allow me to collaborate seamlessly with cross-functional teams, translating technical insights into actionable strategies.

Experience

9 mos

Total Experience

9 mos

Average Tenure

Current Experience

Outlier

LLM trainer

Sep 2024 – Mar 2025 · 6 mos · Remote

worked on 6 LLM model projects based on NLP and CV completing 300+ tasks and earning $12000+
role involved identifying gaps in training of LLM models through complex queries
role required understanding of intricate undergraduate level mathematics and physics concepts and debugging python/C++ codes.

PythonNLPCVComplex QueriesMathematicsPhysics+2

Dolat capital

Quantitative Analyst

Sep 2023 – Jun 2024 · 9 mos · Mumbai, Maharashtra, India · On-site

Conducted comprehensive Data Analysis utilizing advanced statistical methods, including Time Contiguous Clus-
tering, to identify trends and patterns in financial market data.
Implemented automation solutions using Python to streamline data collection and preprocessing tasks, resulting
in a remarkable 75 % reduction in processing time.
Conducted rigorous Backtesting and Stress Testing of trading algorithms, leveraging 1 year of market data to
evaluate performance across various market conditions.
Played a key role in enhancing Risk Management Frameworks by contributing to the development and validation
of Pricing Models for complex financial instruments.
Developed trading signals for synthetic trades while minimizing Delta and Vega Risk Exposure, optimizing risk-
return profiles associated with trading strategies.