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EDUCATIONCandidate's Name
Lubbock, TX Street Address EMAIL AVAILABLE PHONE NUMBER AVAILABLE
http://LINKEDIN LINK AVAILABLETexas Tech University, Texas, USA. Graduation year: Street Address
Bachelor of Science in Computer Science GPA:4.0EXPERIENCEBioinformatics Fellowship, May 2024 Aug 2024Department of Biological Sciences, Efficiently retrieved and managed large-scale 2.5 million organism s genomic, metagenomic, and meta transcriptomic data from the National Center for Biotechnology Information (NCBI), sorting and maintaining these datasets in a structured database within a Linux-based high-performance computing clusters( HPC).
Successfully designed, deployed, and managed SQL databases for genomic data, implementing robust software solutions that support distributed and parallel systems, information retrieval, and large-scale software development. Developed and deployed automated data processing pipelines using Python and Bash, enabling streamlined data retrieval and preparation for experimental use, ensuring accuracy and efficiency in handling large datasets.
Research Assistant,Department of Computer Sciences, July 2024 - Present My role involves meticulous data cleaning procedures upon retrieval from hospitals to ensure high quality and consistency. Leveraging Python libraries such as pandas and NumPy, I automate cleaning processes, handle missing data, and standardize formats for seamless integration into Federated Learning simulations. Skilled in utilizing TensorFlow and scikit-learn to develop simulations on Linux-based environment high-performance computing clusters, focusing on predicting medical outcomes from decentralized data while preserving data insights. Experienced in developing backend systems using Python (pandas, NumPy) and Java, adept at integrating data processing pipelines for large-scale software systems, emphasizing reliability and efficiency in research and development tasks.
PROJECTS/INVOLVEMENTGroceries for GoodVisa Climate Tech Hackathon 2024 Project Created an environmental impact clustering algorithm using Scikit-Learn to categorize grocery products based on sustainability criteria, enhancing consumer awareness through real-time insights. Utilized TensorFlow and Scikit-Learn to predict and assign Green Credits to grocery purchases, promoting sustainable consumer behavior at checkout through data-driven decision making. Collaborated effectively in the Visa Climate Tech Hackathon to refine the Green Credit concept, leveraging mentorship and resources to develop and implement a practical solution that integrates technology with sustainability goals.Algorithmic Trading with PythonIndividual Project
Developed an easy-to-use tool for momentum and value investing strategy by integrating with real-time market data of S&P 500 stocks by using REST API. Maximized trading algorithms using Python Libraries like NumPy, and Pandas to store around 30 essential data of stock in a dictionary using Jupiter Notebook.Road Sign Classifier
Individual Project
Developed a neural network using TensorFlow to classify road signs from images. Achieved an accuracy of 95% on the German Traffic Sign Recognition Benchmark dataset, identifying key signs such as stop signs, speed limits, and yield signs.
Implemented TensorFlow to preprocess and train on a dataset containing 50,000+ images of various road signs. Used techniques like convolutional neural networks (CNNs) to extract features and accurately classify signs in real-time scenarios.
Implemented rigorous training procedures to optimize the neural network's performance in recognizing different road signs under varying conditions (e.g., lighting, weather).SKILLS/CERTIFICATIONS Technical Skills: (Advanced): Python | SQL | HTML/CSS | Git (Intermediate): Power BI | Java | Bash | PowerShell Frameworks & Databases: Flask, Django, TensorFlow, NumPy, Pandas ,SQL Server, MongoDB, PostgreSQL, MySQL |
