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Hello, I'm Bhautik. I am currently finishing up my Master's in Data Science. I enjoy working with complex Datasets. My focus is Machine Learning and Deep Learning.

About me

After graduating with a degree in Computer Engineering, I decided to move to Germany to pursue my passion for mathematics and programming. My favorite part of Data Science is the real-world application of AI/ML. I love the feeling of finally figuring out a solution to a problem. My core stack is Python, Machine Learning, Deep Learning, Data Analysis, and Statistical Learning. I am also familiar with R, JavaScript, and SQL databases. I am always looking to learn and explore new technologies. I am a crazy adaptive learner and believe in continuous personal and professional development. I am always open to new opportunities and collaborations where I can contribute my skills, expertise, and passion to make a meaningful impact.

When I'm not learning, I enjoy listening to music, stargazing (see here), working out, and cooking.

My projects

Salary Prediction Web app

Built a machine learning model using real-world data from Stack Overflow and developed a salary predictor web app and deployed the app using the Streamlit library.

python
Streamlit
Scikit-learn

FC Schalke Statistical Consulting

Analyzed large and complex Bundesliga game data using clustering techniques to uncover patterns in player performance during 2vs1 situations.

python
Excel
Scikit-learn
Seaborn
Latex

HR Analytics Power BI Dashboard

Designed and developed an HR Analytics Power BI Dashboard from scratch, transforming raw data into actionable insights.

Power BI
Excel
Microsoft 365

My skills

python
R
Latex
Pandas
NumPy
Matplotlib
Seaborn
BeautifulSoup
Selenium
TensorFlow
Keras
Scikit-learn
OpenCV
Git/GitHub
SQL
Power BI
Excel
REST-APIs
MS Office Suite
German(A2-B1)

My experience

Bielefeld University(Department of Sports Science)

Bielefeld, Germany

Currently I am working with Prof. Dr. Christian Deutscher on diverse sports research projects. Skilled in data scraping, statistical modeling, and visualizing insights from large datasets, including >3M data points from Bundesliga, Marathons, Hockey, and NBA L2M reports.

May 2024 - Present

Hochschule Bielefeld

Bielefeld, Germany

Learned and contributed to the development privacy-preserving machine learning solutions for the CareTech OWL project, leveraging Fully Homomorphic Encryption (FHE) and Concrete-ML to further securely train models on real-world sensor data while ensuring data confidentiality.

May 2024 - Aug 2024

Bielefeld University(Department of Mathematics)

Bielefeld, Germany

Teaching Assistant for Mathematics 1 at Bielefeld University, conducting weekly 3 in-person tutorials and collaborating with Prof. Dr. Michael Hinz and fellow tutors.

Oct 2023 - Mar 2024

Contact me

Please contact me directly at bhautikkumar.lukhi@uni-bielefeld.de or through this form.