Hi, I'm Venkat Chavan N

Data Engineer & AI Specialist

Berlin, Germany

A Master's student in Big Data and Artificial Intelligence at SRH Berlin, with strong hands-on experience in cloud-based ETL pipelines, open-source LLMs, and their real-world applications. Experienced in structuring data on the Google Cloud Platform using tools like BigQuery and Looker Studio. Passionate about developing interpretable AI solutions, particularly for autonomous systems and biomedical domains, and currently researching multi-agent learning.

About Me

Learn more about my background and expertise

Venkat Chavan N

A Master's student in Big Data and Artificial Intelligence at SRH Berlin, with strong hands-on experience in cloud-based ETL pipelines, open-source LLMs, and their real-world applications. Experienced in structuring data on the Google Cloud Platform using tools like BigQuery and Looker Studio. Passionate about developing interpretable AI solutions, particularly for autonomous systems and biomedical domains, and currently researching multi-agent learning.

3+

Professional Roles

7+

Major Projects

6+

Skill Categories

Skills & Expertise

Technologies and tools I work with

Programming Languages

Python SQL Java TypeScript Bash

Data Engineering & ETL

ETL Pipelines Data Integration BigQuery Google Cloud Platform Azure (Data Factory, Databricks)

Semantic Modeling & NLP

TF-IDF Named Entity Recognition (NER) Sentence-BERT Cosine Similarity VADER LangChain NLTK RAG Hugging Face Transformers

ML & Automation

Classification Clustering Text Retrieval Model Deployment MLflow

Frameworks & Tools

FAISS Streamlit Git Docker FastAPI Looker Studio

Collaboration & Methodologies

Agile Methodologies Cross-functional Team Communication Documentation Project Management

Professional Experience

My career journey and key achievements

Data Engineering Intern

Ford Werke GmbH

Sept 2024 - Mar 2025
  • Developed GCP-based ETL workflows and cloud-native pipelines in BigQuery for CRM and marketing data.
  • Built insightful dashboards for sales management using Looker Studio.
  • Collaborated with analytics teams to implement quality checks and schema validation.

Data Science Intern

AI Variant

May 2023 - Aug 2023
  • Conducted EDA and implemented forecasting techniques to predict oil prices.
  • Developed user-friendly data visualizations and interfaces using Streamlit.

Graduate Trainee Engineer

Siemens

Aug 2022 - Mar 2023
  • Supported QA and conducted manual testing for industrial automation software (PCS Neo).
  • Wrote structured defect logs, improving traceability and quality documentation.

Featured Projects

Showcasing my work and innovations

Coordinated Multi-Agent Reinforcement Learning (Masters Thesis)

Designing a CMARL framework for autonomous vehicles to coordinate with human drivers in mixed-traffic environments using CARLA and PyTorch.

E-Commerce Data Analysis Pipeline

Big-data analysis pipeline leveraging AWS services for scalable data processing and exploratory insights on e-commerce data.

American Sign Language Detection System

CNN-based computer vision system for real-time American Sign Language gesture recognition with high accuracy performance.

Crude Oil Price Prediction Model

Time series forecasting model for predicting crude oil prices using advanced machine learning and statistical techniques.

CryptoApp - Mobile Encryption Tool

Android application for text encryption using Caesar Cipher and Binary Encryption algorithms with intuitive user interface.

Divine Insights: NLP Analysis of the Bhagavad Gita

Conducted NLP analysis using VADER for sentiment analysis and a TF-IDF based Q&A system. Developed a RAG-based chatbot powered by Mistral 7B and LangChain.

Enhanced Data Augmentation and Synthesis

Implemented RAG to enhance review datasets using FAISS for vector storage and Sentence-BERT for semantic embeddings.

Education

My academic background

MSc in Big Data and Artificial Intelligence

SRH University of Applied Science, Berlin

2023-2025

BE in Information Science

Global Academy of Technology, Bengaluru

2018-2022

Get In Touch

Let's connect and discuss opportunities