Open to opportunities

MRUDHULA SOMANABOINA

@mrudhulasomanaboina

Engineering graduate skilled in Python, SQL, and data analysis, focused on ML-driven solutions and software development.

Zimbabwe

Message

What I'm looking for

I seek an entry-level role where I can apply Python, SQL, and ML skills to build analytics or ML-driven products, learn from experienced engineers, and contribute to data-informed decision making.

I am an engineering graduate with hands-on experience in Python, SQL, data analysis, and machine learning, strengthened by internships and project work. I solve problems through data-driven approaches and write maintainable back-end code for analytics and web applications.

During an AI/ML internship I conducted exploratory data analysis, built models, designed relational databases, and created interactive dashboards using Streamlit and Power BI. I engineered a Random Forest regressor that delivered strong predictive performance on airline fare data and developed persistent web applications with full CRUD functionality.

I bring strong debugging skills, a quick learning ability, and practical exposure to data visualization and statistical modeling, and I seek roles where I can contribute to ML-driven products and grow my software development expertise.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

Labmentix

Aug 2025 - Nov 2025 (3 months)

Built data analytics and ML solutions for real-world datasets, including clustering of Netflix content and an airline fares regression pipeline; developed interactive dashboards and automated CRUD-enabled analytics tools.

Python SQL Streamlit SQLite Machine Learning Data Visualization Power BI

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Bombay

Bachelor of Technology, Civil Engineering

2019 - 2023

Grade: 6.68/10

Activities and societies: Year-long Kho-Kho training under National Sports Organization; Gold Medal in Kho-Kho at Freshiesta, IIT Bombay

Completed a Bachelor of Technology in Civil Engineering with coursework and projects related to engineering principles and data analysis, graduating with a CGPA of 6.68/10.