Open to opportunities

Akhila Mahidhara

@akhilamahidhara

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Aspiring data scientist with strong machine learning and programming skills.

United States

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What I'm looking for

I am seeking opportunities that foster growth in data science and machine learning, ideally in collaborative environments that value innovation and creativity.

I am a dedicated and passionate computer science student at Rutgers University, pursuing a B.S. in Computer Science with a focus on Data Science. With a cumulative GPA of 3.91, I have consistently demonstrated my commitment to academic excellence, earning a spot on the Dean's List. My technical skills span a variety of programming languages and frameworks, including Python, Java, and React, which I have applied in both academic and professional settings.

During my internship at TenX Clinical, I developed and deployed web scraping pipelines that automated data collection processes by 80%, showcasing my ability to leverage technology for efficiency. Additionally, my role as a Research Assistant allowed me to create predictive machine learning models that contributed to significant advancements in understanding the gut microbiome's impact on mental health. I thrive in collaborative environments, as evidenced by my involvement in extracurricular activities such as Hack4Impact and the AI Club, where I have honed my skills in frontend development and technical leadership.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

TenX Clinical

Oct 2024 - Jan 2025 (3 months)

Developed and deployed web scraping pipelines using Python (BeautifulSoup, Pandas, Requests) to extract and index over 1,000 clinical trial documents, automating data collection by 80%. Designed monthly audit processes leveraging Excel and SQL, ensuring 99% database accuracy by validating publication dates, versioning, and regulatory compliance updates. Automated ETL workflows using Python and SQL

Python BeautifulSoup Pandas Excel SQL ETL Web Scraping Data Validation

Research Assistant to Graduate Student

Stevens Institute of Technology

May 2023 - Oct 2023 (5 months)

Developed predictive machine learning models using Python, MATLAB, and Random Forests to identify biomarkers linking gut microbiome profiles to depression risk scores. Applied bioinformatics pipelines using BLAST, OpenRefine, and Biopython to extract and preprocess genomic datasets from public databases. Conducted feature engineering and correlation analysis across 50+ gut microbiome datasets, imp

Python Matlab Random Forest Machine Learning Bioinformatics BLAST OpenRefine Biopython Genomics

Education

Degrees, certifications, and relevant coursework

Rutgers University

B.S. in Computer Science, Computer Science, Data Science

Grade: 3.91/4.00

Activities and societies: Hack4Impact (Frontend Developer), AI Club (Technical Chair), Women in CS, USACS

Pursuing a Bachelor of Science in Computer Science with a focus on Data Science. Achieved a cumulative GPA of 3.91/4.00 and was recognized on the Fall 2024 Dean’s List. Relevant coursework includes Intro to Computer Science, Data Structures, and Discrete Mathematics.