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About Me

I'm Akhil Satya Sai Cherukuri, a junior studying Computer Science at the University of Texas at Arlington. I've been passionate about programming since 10th grade and have been self-learning ever since.

In addition to my academic journey, I actively work on computational research in bioinformatics, develop Python and SQL solutions, and participate in open-source projects. I enjoy exploring machine learning, building side projects, and contributing to innovative solutions.

Outside of coding, I'm deeply interested in mentoring others and staying up to date with the latest in tech and science. My goal is to bridge my technical skills with impactful real-world applications.


Education

University of Texas at Arlington

B.S. in Computer Science, College of Engineering
Minor in Data Science – bridging the principles of CSE with AI and machine learning.
Recognized for academic excellence by earning a place on the Dean's List for 2024
GPA: 4.0


Work Experience

Computational Research Assistant

Dr. Matthew Fujita Lab, Department of Biology, UTA

June 2025 – Present

  • Develop Python scripts to optimize data processing workflows and automate analysis pipelines for genomics research.
  • Design and query SQL databases to manage large-scale biological datasets and ensure data integrity.
  • Collaborate with PhD student on bioinformatics methods, learning domain-specific techniques to support computational research.
  • Contribute to visualization and reporting of results for publications and presentations.

Skills

Python Machine Learning HTML CSS JavaScript C Tableau SQL Flask Microsoft 365 NLP Technical Writing Object Oriented Paradigm

Recent Projects

Predicting Titanic Passengers' Survival Using Machine Learning

Built a classification model using feature engineering and ensemble learning to predict which passengers survived the Titanic disaster. Achieved 83% accuracy on validation data.

Stock News Website

A web app that delivers live stock market news using a financial news API. Built with Python, Flask, HTML, CSS, and JavaScript.

Selenium WebDriver – Zillow Rental Scraper

Automates scraping rental listings from Zillow and populates a Google Spreadsheet via Google Forms using Python and Selenium.

What Makes a Movie a Blockbuster?

A group data mining project that classifies movies as blockbusters by financial and popularity metrics using Decision Tree, Random Forest, Logistic Regression, and KNN models.

View All Projects