Hello, I'm Apratim.
- π¨βπ¬ Research Scientist with a Ph.D. in Mechanobiology and 11+ years of academic and industrial experience, specializing in data analysis, bioinformatics, and interdisciplinary research.
- π‘ Machine Learning Enthusiast currently pursuing an MS in Computer Science, focusing on advanced machine learning and deep learning techniques, including semi-supervised learning and transformers.
- π οΈ Technical Skills: Proficient in Python, MATLAB, SQL, and cloud platforms like Azure. Experienced in developing scalable ETL pipelines, data processing, and visualization with tools like Pandas, NumPy, and Matplotlib.
- 𧬠Life Sciences Expertise: Extensive experience with image and signal processing, statistical experiment design, and biomedical data from techniques like mass spectrometry, single-cell genomics, and atomic force microscopy.
- π Data-Driven Decision Maker: Demonstrated success in leveraging data to improve operational efficiencies, develop predictive models, and provide actionable insights for real-world applications.
- π Project Leader: Proven ability to lead cross-functional teams in research and industry settings, from project inception through completion, ensuring data integrity, scalability, and impactful outcomes.
- π Lifelong Learner: Passionate about staying updated with the latest in technology and science, including certifications in TensorFlow and Apache Airflow for data engineering and ML model deployment.
- π Notable Achievements: Author of 12+ peer-reviewed publications with over 200 citations, showcasing research impact in the fields of vascular cell mechanosensation and health informatics.
Welcome to my portfolio, where I showcase my projects.
- Languages: Python, MATLAB, SQL
- Databases: Azure SQL, Google BigQuery, MySQL
- Visualization: Tableau, Power BI, Looker Studio
- Machine Learning: TensorFlow, scikit-learn, PyTorch
- Data Processing: Pandas, NumPy, Apache Airflow
- Cloud Platforms: Microsoft Azure