I am a data science professional with 5+ years of experience in machine learning, business intelligence, and automation. I thrive on turning complex data into actionable insights and compelling stories that drive business growth. My work often involves Python, SQL, and PyTorch, and I'm a passionate open-source contributor with tools recognized with over 300 stars on GitHub.

• Proven track record in business environments securing 4 partnerships and contributing to a 7.4% increase in market reach.

• Experienced in Biomedical AI, computational biology, developing visualization tools for datasets with >250k rows.

• Skilled in building end-to-end data pipelines, optimizing processes, and creating impactful KPI dashboards.

SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models (IEEE, 2025)

Co-authored a publication on a novel, label-free method for adapting deep learning models to new data domains without supervision. The method achieved a relative performance improvement of up to 29.6% in AP0.5 over the baseline Cellpose model on the LiveCell dataset.

Here are some of the projects I've been working on recently:

• ☁️ End-to-End Azure Data Pipeline: Designed and built a complete data engineering project, migrating data from an on-premises SQL Server to an Azure-based medallion architecture using Azure Data Factory, Databricks (PySpark), and Synapse Analytics, with insights delivered via Power BI. Check out the repo!

• 📝 Cloud Resume Challenge: Deployed a full-stack, serverless web application on Microsoft Azure featuring a CI/CD pipeline with GitHub Actions, Infrastructure as Code with Terraform, a Python-based API, and a NoSQL database. Visit the website or see the code.

• 💻 Advanced SQL Challenges: Completed both the LeetCode Top SQL 50 and StrataScratch Advanced SQL 25 challenges, sharpening my skills in window functions, complex joins, and query optimization.

Data Engineer | Neue Pressegesellschaft (Oct 2025 — Present)

• I'm currently a Data Engineer at NPG Digital, where I build and manage our data ecosystem. My role spans the entire data lifecycle - from designing, building robust ETL data pipelines to conducting deep-dive analytics and applying data science methodologies.

Sales Manager | seedalive GmbH (Aug 2025 — Oct 2025)

• Led international business development initiatives in India, establishing strategic partnerships and expanding market presence through targeted client acquisition campaigns

• Conducted comprehensive market analysis of India's seed industry, identifying high-potential strategic partners and compiling critical market intelligence on sector trends, competitive landscape, and growth opportunities

• Developed and deployed interactive Power BI dashboards to visualize market research findings, enabling data-driven decision making and strategic planning for Indian market penetration

• Architected and deployed server infrastructure solutions, ensuring seamless technical implementation and optimal system performance for client operations

• Delivered comprehensive training programs to client personnel, including students and staff members, enabling successful execution of experimental protocols and enhancing operational capabilities

• Led end-to-end project management of international business trips and corporate events, coordinating logistics, stakeholder engagement, and strategic planning to maximize ROI and client satisfaction

Barista & Store Operations | Copenhagen Coffee Lab (May 2025 — Jul 2025)

• Handled all-round store duties including expert wide variety of coffee preparation (Yes! Ofc with latte art! ☕🎨), customer service, billing, point-of-sale (POS) system, and inventory management

• Ensured smooth daily operations, from store opening and closing to maintaining cleanliness, coordinated and organized food storage, supply logistics across multiple branches

Business Intelligence Working Student | Olympus Europa EMEA (Feb 2024 — Feb 2025)

• Reduced processing time by 37.48% by digitizing operational processes with Microsoft Power Apps

• Engineered an end-to-end data pipeline in Python for ETL, automated regulatory reporting, and database management

• Automated KPI dashboards using Power BI, data modeling, and statistical analysis

Machine Learning Working Student | Charite – University Medicine (Dec 2022 — Feb 2024)

• Engineered and published a machine learning model for cell segmentation

• Developed a visualization tool for large-scale single-cell datasets, improving data comprehension

• Automated code quality checks and enforced coding standards to enhance codebase stability

Biomedical AI – Master Thesis | Helmholtz AI (Feb 2023 — Aug 2023)

• Increased clustering purity of high-dimensional cytometry data by 26.31% by implementing Neighborhood Component Analysis (NCA)

• Developed a comprehensive analysis pipeline for high-dimensional biological image data, enabling visualization across datasets with over 22,000 labeled images

Open-Source Developer | Helmholtz AI (2021 — 22)

• Built ETL functions processing 250k+ rows, adopted by 1000+ biologists

I am a part of the open-source community, where I contributed to the development of SquidPy and SquidPy notebooks, tools for the analysis and visualization of spatial molecular data click_here. I contributed to the development of PolarityJam, a tool designed for extracting, analyzing, and visualizing cellular data from images. I have experience using PyTorch, Numpy, Pandas, Linux and HPC.

I tutored the courses "Machine Learning in Image Analysis" course at Hasso Plattner Institute for 72 students and "Introduction to Single-Cell RNA Sequencing Data Analysis with ScanPy” at the Helmholtz AI for 28 students.

When I'm not busy being a full-time nerd, I’m probably off on a different kind of adventure. You can find me backpacking through the wilderness, trying out new gourmet recipes in the kitchen, or devouring the pages of a good book. I also enjoy staying active through working out, badminton, skating, and swimming. I love learning new things and believe in being a jack-of-all-trades—always curious and ready for the next challenge.

I may not have any superpowers, but I pride myself on being a kind and honest person. It's my own personal version of a cape and tights (and definitely easier to wash 😅). I believe nothing is as good if you don't share it. Keep smiling!