Divyansh Pandey

Data Scientist

https://www.opentalent.in/divyansh-pandey-2

Researcher @ IAIRO, IISERK | Ex-ML Research @IIT-H (Vigil Labs) | Data Scientist | MLOps | Production Systems

Lucknow, Uttar Pradesh, India

Key Strengths

Demonstrated interest in Data Science and MLOps through projects like 'fraud-detection-system' and 'RAGAS-NLP-SQLqueries-postgres'.
Experience with Python for data analysis, machine learning, and NLP.
Familiarity with MLOps concepts (Docker, FastAPI, Prometheus) as shown in the fraud detection project.
Ability to work with PostgreSQL for database interactions.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal technical projects, indicating self-motivation and a passion for learning and building. The diversity of projects, from data science to web development, suggests adaptability, but also a potential lack of deep specialization in a single area. The target role is Data Scientist, and while several projects align, the breadth of other projects (e.g., web development) suggests a broad technical interest rather than a singular focus on data science. This could be a strength for cross-functional teams but might require more focused development for a specialized Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Assessing your cultural and operational fit

Projects

PortfolioColab

June 9, 2026 – Present

PortfolioColab — GitHub repository

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Neurosymbolic-Research-Assistant

April 8, 2026 – Present

Neurosymbolic-Research-Assistant — GitHub repository

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SAE-Steering-Lab

April 6, 2026 – Present

SAE-Steering-Lab — GitHub repository

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Mini-Experiments

March 24, 2026 – Present

Mini-Experiments — GitHub repository

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Portfolio-Prod

March 22, 2026 – Present

Portfolio-Prod — GitHub repository

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RAGAS-NLP-SQLqueries-postgres

March 2, 2026 – Present

Intelligent RAG-powered chatbot that transforms natural language into precise PostgreSQL queries using local LLMs and advanced NLP. Built for seamless, AI-driven database interactions

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fraud-detection-system

January 13, 2026 – Present

Production-grade MLOps pipeline for real-time fraud detection (<5ms latency) using FastAPI, XGBoost, Docker, and Prometheus.

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uidai2026

January 6, 2026 – Present

uidai2026 — GitHub repository

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DataAnalysisToolkit

September 17, 2024 – September 17, 2024

Welcome to the Comprehensive Data Analysis Toolkit! This all-in-one tool simplifies Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, and more. Designed for data enthusiasts and scientists, it streamlines data analysis with interactive visualizations and advanced features.

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real-time-chat-app

April 1, 2024 – April 3, 2024

real-time-chat-app — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and MLOps through projects like 'fraud-detection-system' and 'RAGAS-NLP-SQLqueries-postgres'.
Experience with Python for data analysis, machine learning, and NLP.
Familiarity with MLOps concepts (Docker, FastAPI, Prometheus) as shown in the fraud detection project.
Ability to work with PostgreSQL for database interactions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Divyansh Pandey

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit