Professional Aspiration:

• Passionate about leveraging computational methods to advance healthcare through biological data analysis

Educational Background:

• Master of Engineering in Computational Mathematics Science and Engineering(CMSE), providing a robust foundation in advanced computational techniques.
• Bachelor of Science in Biosystems Engineering with Concentration in Biomedical Engineering & Minor in CMSE

Technical Skills:

• Proficient in Python and R, utilized extensively in data science projects and software engineering tasks to analyze complex datasets and build predictive models.
• Git, Unix/Linux, FastQC, samtools, STAR, High Power Performing Computing.
• Machine Learning: Linear and Logitstic Regression, SVM, Decision Trees and Bayes Classifiers
• Deep Learning: TensorFlow, Neural Networks, Transformers -- BERT
• Dimensional Reduction: Principal Component Analysis, Multi-dimensional Scaling,
• Data analysis & Visualization: Pandas, Polars, tidyverse, ggplot2, matplotlib, and seaborn)

Mathematical Expertise:

• Solid understanding of Linear Algebra, Numerical Linear Algebra, Probability, and Statistics, essential for developing sophisticated algorithms and data analysis tools.

This project implements a method for scrapping youtube search result using selenium. Selenium is a perform document that allows for automation of website by the use of webdriver.

• Selenium:

  Automating website scrolling to get a large source html to parse. The html page is parse using XPATH. We first inspected the html source page and got the respective xpath for a video renderer. We then use the corresponding xpath to find the videoId for the youtube video.

• Youtube Data api:

  To get the video statistics and video description, we used Youtube Data Api to access each video.

• Hydra:

  We define the project configuration using hydra. With hydra we can store file path with credentials and website headers, root url and country of search in yaml file.

• Rust language
• Exploring polars and alternative for pandas in python.
• Understand datafusion