Prateek Kumar Prasad

Data Scientist

https://www.opentalent.in/prateek-kumar-prasad

K.R. Mangalam universtiy

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python for data analysis, ML model development, and automation.
Exposure to various ML/AI frameworks and tools (NVIDIA LLM, Llama 3.3, FAISS RAG, Streamlit).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and AI, aligning with a Data Scientist role. The diversity of projects (election analysis, risk systems, smart grids, healthcare AI) indicates a broad interest in applying data science across different domains. However, all projects are personal, and there is only one current professional experience listed, which started recently. This suggests a potential fit for roles that value self-driven learning and project initiation, but may require further validation of collaborative experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

tn-election-analysis-2026

May 19, 2026 – Present

Interactive analysis of Tamil Nadu Assembly Elections (2021 vs 2026) using Python, storytelling dashboards, and election data visualization

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nn_toolbox

February 5, 2026 – Present

Interactive Streamlit toolbox for neural networks and machine learning, with modules, datasets, and visualizations — built to expand with new features.

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transaction-risk-system-v2

January 19, 2026 – Present

Transaction risk assessment system with real-time ML inference, rule-based decisioning, API service, UI client, and CI/CD pipeline.

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GridCast

January 4, 2026 – Present

Smart Grid Load Prediction Using Deep Learning models for accurate short-term electricity demand forecasting.

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N-AIRS

January 1, 2026 – Present

Automated financial data pipeline with rule-based trade signals and a reporting layer designed for Power BI dashboards.

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SnapBase

December 24, 2025 – Present

A production-grade, terminal-based AI SQL assistant using NVIDIA LLM, with schema awareness, safety guardrails, and persistent configuration.

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EY-Project-Healthcare-Provider-Directory-AI

December 11, 2025 – December 11, 2025

AI-Powered Healthcare Provider Data Validation and Directory Management System using NVIDIA Mistral Large and Next.js

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employee-attrition-prediction

December 1, 2025 – December 2, 2025

Velorium AI - Premium Employee Retention Platform with NVIDIA Llama 3.3, FAISS RAG, and ML Predictions

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DATA_TOOL_X

March 19, 2025 – March 19, 2025

All in solution for data Scientist

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Prateekkp

January 20, 2024 – Present

Config files for my GitHub profile.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python for data analysis, ML model development, and automation.
Exposure to various ML/AI frameworks and tools (NVIDIA LLM, Llama 3.3, FAISS RAG, Streamlit).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

Prateek Kumar Prasad

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit