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Open to Werkstudent, Part-time & Freelance Roles

// data scientist & AI engineer

Vineet
Kumar Agarwal

Data Scientist & AI Engineer

I build things that explain themselves, from LLM-powered career agents to real-time ship trajectory predictors to Sport Analytics dashboards.

3+ years across enterprise analytics, forecasting, and data products. Currently pursuing an MSc in Data & Knowledge Engineering at OvGU, Germany.

Experience
3+ Years
Industry + Research
Focus
LLMs, RAG, Sports Analytics
Applied AI & Data Products
Based In
Magdeburg, DE
Open to Relocation
vineet_profile.json
$cat profile.json
{
  "name":"Vineet Kumar Agarwal",
  "location":"Magdeburg, DE",
  "stack": [
PythonSQLLLMs · RAGSnowflakedbtPower BI / Tableau
  ],
  "open_to":"werkstudent · freelance · part-time",
  "status":"available"
}
$
scroll to explore
Portrait of Vineet Kumar Agarwal

// about

Research-grounded. Product-focused.

Growing up in the Himalayas of Sikkim taught me to look for patterns early. That curiosity eventually took me from computer engineering into data science and now AI engineering.

Today I build data-driven products across analytics, machine learning, and LLM applications. Alongside 3+ years of industry experience, I work as a Research Assistant at OvGU, supporting graduate tutorials in Machine Learning and Data Mining.

Core Skills
PythonSQLPyTorchScikit-learnLLMsRAG
Tools
SnowflakedbtAWSTableauPower BIStreamlit
Languages
English (C1 · Business Fluent)German (B1 · Studying toward B2)
View LinkedIn

// selected work

Projects

Projects that show how I turn models, data, and interfaces into usable products.

AI Career Agent

Featured Project

AI Career Agent

An interactive professional assistant built with RAG, Groq, and LLaMA that answers questions about my background, skills, and project work in context.

Outcome: Turns a static resume into a recruiter-friendly product demo.

PythonRAGGroqLLaMA 3.3 70BGradio
Weather-aware Ship Prediction

Forecasting & Simulation

Weather-aware Ship Prediction

Forecasted ship trajectories with LSTM and Transformer-based models using AIS and weather data, exposed as an interactive simulation interface.

Outcome: Combines modeling, weather context, and decision support in one workflow.

PythonLSTMTransformersStreamlitFoliumPlotly
Indian Football Analytics

Analytics Product

Indian Football Analytics

A Streamlit application mapping the geographic talent pipeline of Indian football to surface structural gaps, regional patterns, and scouting opportunities.

Outcome: Shows data storytelling, product thinking, and applied analytics in one project.

PythonStreamlitPandasData StorytellingSports Analytics
GastroTrust

Applied NLP

GastroTrust

A restaurant review authenticity platform built with HCAI and explainable AI principles to assess sentiment, score reviews, and make moderation more transparent.

Outcome: Demonstrates applied NLP work with user trust and explainability in mind.

PythonDistilBERTHCAIExplainable AI

OvGU Magdeburg

MSc Thesis — 2025/26

MSc Thesis · In Progress

RAG Evaluation for Educational AI

Researching LLM-as-judge calibration and human agreement for evaluating RAG-based Q&A systems over university course content. Zero-budget local stack with Qwen, Llama 3.1, and Prometheus 2.

Outcome: Explores how to reliably score LLM answers without expensive human annotation at scale.

RAGLLM-as-JudgeOllamaQwen 2.5Llama 3.1
In Progress In Progress

// career path

Experience

I work at the intersection of analytics, machine learning, and product delivery. The through-line: take messy data or complex models and turn them into usable decisions.

Research Assistant

Otto Von Guericke University

Current May 2025 – Present

Support graduate teaching in ML and Data Mining. Contributing to applied research workflows in RAG evaluation.

Data Analyst

Data Radian Technologies (Fortune Brands Innovations)

Jun 2022 – May 2024

Delivered 50+ analytics dashboards and data workflows for enterprise decision-making across supply chain and marketing teams.

Lead Business Intelligence Analyst

Flex by Finaxar (Part-Time)

Aug 2022 – Oct 2023

Led BI reporting and stakeholder-facing insights for a fintech product, supporting 3 cross-functional teams.

Data Science Engineer

Smart Energy Water

Jul 2021 – May 2022

Built predictive models and data pipelines for utility consumption forecasting, improving prediction accuracy by 18%.

// education

2024 – Present

Master's in Data and Knowledge Engineering

Otto Von Guericke University

2017 – 2021

Bachelor of Technology in Computer Science and Engineering

BML Munjal University

// get in touch

Let's talk

If you're hiring, collaborating, or reviewing my work, send a message and I'll get back to you.

Location

Magdeburg, Germany (Open to Relocation)

MLOps workflow illustration

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