Nabojyoti P.

AI Researcher

Kolkata, West Bengal, India3 yrs 11 mos experience

Key Highlights

Expert in building automated ETL pipelines and data models.
Proficient in machine learning and deep learning frameworks.
Strong background in financial data analysis and trading strategies.

Stackforce AI infers this person is a Fintech Data Engineer with expertise in machine learning and data modeling.

Contact

nabojyoti29@gmail.com LinkedIn

Skills

Core Skills

Data ModelingEtlApi DevelopmentContainerizationDatabase ModelingData QualityMachine LearningDeep LearningStatistical ModelingHigh-frequency TradingData VisualizationNlpRecommender SystemsData Analysis

Other Skills

AWS LambdaAccess Control ManagementAmazon EC2Amazon S3Amazon Web Services (AWS)Apache AirflowApi authApi designAuthentication SystemsAutomation testingBacktestingBayesian InferenceBeautiful SoupC (Programming Language)C++

Experience

Ey

AI Consultant

Jun 2025 – Present · 9 mos · Greater Kolkata Area · Hybrid

G. h. financials

Data Engineer

Feb 2024 – May 2025 · 1 yr 3 mos · Greater Kolkata Area

Built a secure FastAPI-based REST service with OAuth2, JWT auth, Dockerized secrets, and CI/CD, achieving 100% test coverage.
Automated ETL pipelines for trade, volume, and FX data using Airflow and Jinja2
Database Design for Derivative Clearing Firm:
Collaborated on designing a relational database schema using PostgreSQL and SQLAlchemy for multi-exchange trading and hierarchical client data.
Implemented indexing strategies and multithreaded loading to accelerate database performance and data ingestion.
Automated Risk Reporting system leveraging statistical methods to compute VaR, Expected Shortfall (ES), Initial Margin (IM), and Capital utilization—cutting operational costs.

Data ModelingExtract, Transform, Load (ETL)PostgreSQLPython (Programming Language)ContainerizationContinuous Integration and Continuous Delivery (CI/CD)+12

Cloudcraftz

4 roles

Data Scientist

Promoted

Apr 2023 – Jan 2024 · 9 mos · Greater Kolkata Area

Implemented Bayesian Inference with Markov Chain Monte Carlo (MCMC) to estimate probabilities for various commodities including Oil, Gold, Silver, and Platinum.
Implementated a Genetic Algorithm to determine the optimal trading days for a Monthly Expiring Option Strategy.
Contributed to a framework that enables backtesting of high frequency trading strategies for a proprietary firm.
Developed a robust enhancement framework that outperformed the existing strategy by a substantial margin, delivering notable benefits for the firm.

Deep LearningPyTorchEquity DerivativesMachine LearningHigh-Frequency TradingStatistical Modeling+1

Associate Data Scientist

Promoted

Aug 2022 – Mar 2023 · 7 mos · Greater Kolkata Area

Part of a Trading App Building Team.
Generate News Sentiment of Various Companies for trading strategies.
Build a Trading Strategy with Fundamental Data using ML.
Build ML and DL models to predict Stock Market Regime.
Generate an Automated Visualization Report of any Backtest.

Python (Programming Language)Time Series ForecastingTwitter APINatural Language Processing (NLP)Data VisualizationTime Series Analysis+1

Associate Software Engineer - Data Science

Jan 2022 – Aug 2022 · 7 mos · Greater Kolkata Area

Generate Stock buy-sell Strength with various Technical Indicators using Probabilistic Machine Learning.
Train a Deep Reinforcement Learning Model with Fundamental Data.
Build a Recommendation Engine.
Asset re-allocation of various selected portfolio using Statistical, ML and DL Methods.

Python (Programming Language)Deep LearningMicrosoft ExcelMachine LearningRecommender Systems

Data Science Intern

Sep 2021 – Dec 2021 · 3 mos · Greater Kolkata Area

Build a Pipeline to Web Scarpe Historical Insider Transaction Data for S&P 500 Companies.
Analysing and Visualization of the Insider Transaction to gain valuable insights.

Python (Programming Language)Data VisualizationData AnalysisBeautiful Soup