Technical Skills

Languages: Python (Major Libraries: Scipy, Numpy, Keras, TensorFLow, PyTorch, OpenCV, Pandas, Matplotlib), R, PostgreSQL, SQL, C++, C, C#, Java, HTML, CSS, JavaScript and Latex

Developer Tools: RStudio, VS Code, Eclipse, Google Colab, XCode, Spyder, Jupyter, Microsoft Azure Machine Learning Studio, Jira Software, Confluence, Kubernetes, Amazon Quickisght, Docker, WordPress

Soft Skills

University of Massachusetts Amherst

Coursework: Database Design & Impl., Data Science, Making Predictions, Systems for Data Science, Machine Learning, Neural Networks, Statistical Computing, Software Engineering.

Guru Gobind Singh Indraprastha University

Coursework: Data Structures, Algorithms Analysis, Operating Systems, Database Management, Programming Languages, Artificial Intelligence

Waters Corporation

Worked with the Strategic Engineering team to develop proof of concept software targeting Scientific applications relating to the pharmaceutical and medical industries using Computer Vision in Python, and Streamlit for the interface.

Investigated strategies and devised ways to create effective visualizations and extract meaningful information from unintelligible 5-D sparse Multi-indexed (hierarchical indexed) Ion Mobility & Imaging Mass Spectrometry data.

Waters Corporation

Primarily worked on the on-premise Uploader application to upload sensitive biomedical user data from the Empower database to Amazon Redshift.

Utilized C# to extract sensitive biomedical data from tables in the Empower database and wrote them to Apache Parquet format files.

G.B. Pant Govt. Engineering College

Researched on Algorithms and Mathematical Machine Learning, and published 6 research articles in International Journals. Utilized Google Colab and majorly worked on Health Informatics using Python. Major published articles:

∗ Patent: Subway Train Seat Occupancy Detection Via Instance Segmentation With Point Regression For Peri And Post Covid-19 Era (No.: 202111045336; Journal Number: 42/2021)

∗ Patent: GENigma(MayhemNet): Canalizing Stochasticity of Neural Nets into an Insurmountable Encryption Machine (No.: 202011037028; Journal Number: 39/2020)

∗ Intl. J.: WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays. In Special Issue of the Journal of Pure and Applied Microbiology (JPAM).

Tech Mile

Assisted in developing Suspicious Activity Detection Software. Implemented algorithms like Image recognition and Object identification on real world data. Performed work-load analysis and performance tuning.