About Me

A passionate problem-solver with a knack for turning data into actionable insights and building innovative solutions. With 4+ years of experience in software engineering and data science, I thrive on tackling complex challenges and creating impactful results. Currently, I’m leveraging my expertise as a Working Student at Mercedes Benz AG while pursuing my Master’s in Data Science at Friedrich Alexander University.

When I’m not coding or analyzing data, you’ll find me exploring new technologies, diving into machine learning research, or capturing the beauty of nature through photography. I’m always on the lookout for my next challenge and an opportunity to make a meaningful contribution.

📍 Stuttgart, Germany

Nikhil Panchal

Projects

Sentiment Analysis API

Developed a Sentiment Analysis API using Flask, integrating a pre-trained machine learning model to predict sentiment from user reviews. Built a React-based front-end for user interaction and deployed the application on AWS Lambda and API Gateway.

Website
Flask React Docker AWS CI/CD

Stock Price Prediction

Built a Transformer-based machine learning model using PyTorch to predict future stock prices based on historical data. Created a FastAPI backend for serving predictions and a Streamlit front-end for real-time visualization of stock price trends.

Github
Python FastAPI Streamlit Websocket

HVAC Preconditioning

Optimized the HVAC preconditioning feature for Mercedes-Benz vehicles by developing a predictive model using Python and MATLAB/Simulink. Reduced heating and cooling times by 15%, improving energy efficiency and user comfort. Integrated the model into the AUTOSAR environment for real-time performance.

Github
Canoe Canape MATLAB Simulink Python

Skills

Languages

Python JavaScript Java C++ SQL HTML/CSS

Databases

MySQL PostgreSQL MongoDB SQLite

Tools

Git Docker AWS Jenkins Kubernetes

Libraries

Pandas NumPy Matplotlib Scikit-learn TensorFlow React

Frameworks

Django Flask Spring Boot Express.js FastAPI

Experience

Working and Thesis Student

Mercedes Benz AG  •   Stuttgart, Germany

2023 - 2025

  • Developed predictive models using machine learning algorithms, applying best practices in testing, documentation, and deployment to ensure scalability and reliability.
  • Built reproducible data processing pipelines using Python and MATLAB/Simulink to analyze vehicle sensor data (temperature, humidity, HVAC), extracting actionable insights that optimized efficiency by 15%.
  • Collaborated in cross-functional teams to integrate ML models into existing frameworks, ensuring compati- bility and meeting performance standards.
  • Conducted comprehensive data analysis across multiple operational scenarios, identifying patterns and resolv- ing critical issues to improve system robustness.
  • Created data visualizations and dashboards for effective data storytelling to non-technical stakeholders, sup- porting knowledge transfer and business decision-making.
  • Implemented real-time monitoring solutions using Python and specialized tools, enabling efficient debugging and performance optimization.

Working Student

SAP SE   •   Walldorf, Germany

2022 - 2023

  • Supported data processing applications using SQL and programming tools, focusing on test automation, data quality improvements, and system optimization.
  • Maintained technical documentation to ensure compliance with internal quality standards, enhancing accuracy and consistency across development workflows.
  • Collaborated with business teams to translate requirements into technical solutions, demonstrating strong business acumen and communication skills.

Software Engineer

NTTDATA   •  Bangaluru, India

2019 - 2022

  • Collaborated with global stakeholders to gather requirements and optimize SAP BW/HANA data models, applying statistical analysis to improve data quality and reporting accuracy.
  • Developed data transformation routines and ETL processes, improving system performance and enabling more sophisticated analytics.
  • Participated in code reviews and QA processes to uphold organizational coding standards and ensure main- tainability of data processing solutions.

Education

Master of Science in Data Science

Friedrich Alexander University   •   Erlangen, Germany

2022 - Present

  • Relevant coursework: Machine Learning, Data Analysis, Statistics, and Optimization.

Bachelor of Technology in Computer Science

Dr. A.P.J. Abdul Kalam Technical University   •   Lucknow, India

2015 - 2019

  • Relevant coursework: Algorithms, Data Structures, Database Systems, and Software Engineering.

Contact Me