Hello World, I am

Vipeen
Kumar

Quantitative Researcher & Data Scientist

PhD candidate in Economics specialising in quantitative research and financial modelling. Expert in Python and AI/ML pipelines. Proficient in advanced statistical analysis and visualisation, focusing on developing automated data pipelines and financial trading APIs to drive impactful economic and business strategies.

Vipeen Kumar
Python
AI/ML

// Technical Stack

Capabilities & Tools

Languages & Tools

Python (Pandas, NumPy) R (Tidyverse) SQL Julia Stata LaTeX Streamlit

AI & Machine Learning

TensorFlow & PyTorch NLP RAG Pipelines Agentic AI & Langchain XGBoost & Scikit-learn Predictive Analytics

Quant & Stats

Econometrics Financial Modelling Time Series Forecasting Panel Data Analysis Geospatial (ArcGIS, QGIS)

Cloud & BI

AWS & GCP Docker & K8s Snowflake Git / CI/CD Power BI & Tableau

// System Architecture

Engineering & Data Projects

End-to-End AI Pipeline

Macro-Agent Forex Volatility Analyst

Engineered an automated pipeline integrating real-time financial data with custom quantitative models. Utilised LangChain and Google Gemini 3 Flash to process and translate complex volatility metrics into professional investor briefings.

Python LangChain Gemini API Streamlit

Financial Modelling

Algorithmic Trading & Options Pricing

Developed models for Option Greeks, Implied Volatility, and Monte Carlo Simulations (Black-Scholes, Heston, GARCH). Engineered an algorithmic trading pipeline processing deterministic buy/sell signals from historical equity matrices.

QuantLib SciPy Alpaca Qfin

Multi-Asset Analyst

Technical Analysis Engine

Architected an engine using OpenBB SDK, automating data ingestion for equities, forex and crypto. Computed complex volatility and momentum metrics (ATR, MACD, RSI, Bollinger Bands) reducing manual intervention by 95%.

OpenBB Pandas Plotly

Macro-Sentiment Dashboard

NLP RAG Pipeline

End-to-end NLP ingestion pipeline processing macroeconomic documents into hawkish/dovish sentiment scores. Integrated a Retrieval-Augmented Generation (RAG) engine for natural language querying across databases.

Django pgvector Celery

Automated NSE Filing Analyst

Corporate Filing Structurer

Deployed a fully automated stock fundamental analyst app that converts official NSE corporate filings into a structured stock research briefing, significantly reducing manual research workload.

Streamlit Pydantic Altair

Machine Learning Architectures

Classification & Regression

Developed frameworks predicting credit scores using XGBoost and classifying personal income using KNN & Logistic Regression. Built interactive Decision Trees mapping psychological behavior.

Scikit-learn XGBoost

// Career Path

Professional Experience

Senior Researcher

Jan 2021 – Jan 2026
Panjab University, Chandigarh
  • Derived actionable insights by developing econometric and financial models along with data science techniques.
  • Utilised Generative AI for academic research projects involving primary and secondary research, data analysis and paper presentations.
  • Delivered 5+ hours of weekly lectures to UG/PG students. Organised national & international conferences and webinars focused on AI and Econometrics.

Senior Associate

Dec 2020 – Dec 2021
Indiamart Intermesh Ltd., Chandigarh
  • Boosted lead-to-customer conversion rate by 5% and reduced supplier churn by 15% by fine-tuning matchmaking algorithms.
  • Validated user behaviour to optimise category processes.
  • Worked closely with stakeholders articulating and presenting recommendations, influencing future plans based on insights.

Associate

Aug 2019 – Sept 2020
Innodata India Pvt. Ltd., Chandigarh
  • Annotated and classified text and image datasets to improve machine learning model accuracy.
  • Performed regular quality audits and updates, adhering to strict data compliance and accuracy standards.

// Academia

Research & Publications

Primary Research

ASER Survey (Pratham Education Foundation)

Conducted extensive field research assessing rural educational outcomes and generating localized statistical data.

Natural Farming & Crop Diversification

Conducted primary research in the Baddi district of Himachal Pradesh assessing social capital and agricultural shifts.

Paper Presentations

"Impact of Exchange Rate Volatility and Capital Formation in India since Liberalisation"

National Seminar, ICSSR NWRC

"Comparative Analysis of Crowding Out Effect: Punjab vs. Haryana"

International Conference, UBS Panjab University

"Impact of Energy Transition on Automobile and Steel Industry in India"

National Seminar, Panjab University

// Credentials

Education & Certifications

PhD in Economics

In Progress | Panjab University, Chandigarh

Specializing in Exchange Rate Volatility through quantitative and econometric frameworks.

MA in Economics

Aug 2017 - Jul 2019 | Panjab University, Chandigarh

Specialization in Econometrics and Quantitative Methods.

B.A. (Hons.)

Aug 2014 - Jul 2017 | Panjab University, Chandigarh

Economics, Mathematics, and Statistics.

UGC-NET JRF/SRF

Awarded by Ministry of Education, India, for research in economics.

Business Economics (CB2)

Institute of Actuaries of India.

Data Science & ML

Python-Powered ML, R Programming & Excel with AI and NLP (Panjab Univ & Kurukshetra Univ).

Data Analysis

Applied Econometrics, SPSS, Adv. Panel Data Techniques, Data Analysis in Public Policy (CPPR).

Finance

SEBI-Investor Certification & NISM Management Development Programme in Derivative Strategies.