Open to opportunities

neha barthwal User

@nehabarthwaluser

I am a B.Tech Computer Science student specializing in machine learning, data analytics, and full-stack web development.

India

Message

What I'm looking for

I seek an entry-level role in machine learning or data analytics where I can apply ML and web-deployment skills, work on real-world datasets, collaborate with a team, and grow under mentorship.

I am completing a B.Tech in Computer Science at Graphic Era Deemed to be University (Sept 2022–May 2025) with an 8.7/10 GPA, focused on machine learning, data analytics, and web development.

I have built end-to-end machine learning projects — a Random Forest credit-card fraud detector (99% accuracy) integrated into a Flask web app, a linear regression college-prediction Streamlit app (R-squared 0.85, MAE 15.3), and an XGBoost house-price model (95% accuracy, MSE 0.25) — and I solved 400+ LeetCode problems with a contest rating of 1500 and earned a maths olympiad rank of 17 in Uttarakhand.

I work across Python, C++, Java, JavaScript and frameworks such as TensorFlow, Scikit-learn, Flask and Streamlit, and hold certifications in web development, Google Data Analytics, and IBM Machine Learning with Python. I enjoy building deployable solutions, learning new tools, and delivering measurable results through data-driven models.

Experience

Work history, roles, and key accomplishments

Machine Learning Projects

Personal Projects

Built and deployed multiple machine learning projects including a Random Forest credit-card fraud detector achieving 99% accuracy on imbalanced data (SMOTE/undersampling) and an XGBoost house-price regressor (MSE 0.25); integrated models into Flask and Streamlit apps and hosted a responsive web frontend on AWS.