Data Science with less than a year in Machine Learning and Python-based model deployment.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a passionate and detail-oriented Computer Science student with hands-on experience in Machine Learning, Data Analysis, and Python-based model deployment. From achieving a top 1019th rank in Kaggle's Titanic ML competition (among 15,000+ participants) to building end-to-end ML solutions using tools like Scikit-learn, TensorFlow, and Streamlit - I thrive on turning data into impactful, real-world insights.
Jansons Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – Present
Narayana Girls College, Nellore
Intermediate
January 1, 2020 – April 1, 2022
Ratnam CBSE School, Nellore
School
January 1, 2019 – December 1, 2020
ELGI EQUIPMENTS LIMITED
Intern
March 1, 2024 – August 1, 2024
Coimbatore, Tamil Nadu, India
Content-Based Movie Recommendation System
June 25, 2026 – Present
• Implemented NLP techniques like TF-IDF and cosine similarity on TMDB data • Delivered personalized movie recommendations • Built an interactive frontend using Streamlit
Heart Disease Prediction
June 25, 2026 – Present
• Built a classifier using Logistic Regression and Random Forest on UCI dataset • Deployed using Streamlit with real-time input interface • Achieved 86% accuracy with ROC-AUC analysis
Titanic Survival Prediction (Kaggle - ML from Disaster)
June 25, 2026 – Present
• Achieved 1019th place among 15,356+ participants • Used Logistic Regression, Random Forest, and XGBoost to build a survival prediction model • Performed feature engineering and ensemble modeling to boost performance
Image Classification using CNN
June 25, 2026 – Present
• Built a Cat-vs-Dog classifier using Convolutional Neural Networks • Applied image augmentation and dropout to avoid overfitting
CS50x: Introduction to computer science
Harvard University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in various data science applications, including recommendation systems, classification, and image processing. The Kaggle achievement indicates a competitive drive and ability to apply learned skills to real-world problems. The role as an Intel Campus Ambassador and knowledge contributor suggests a proactive and community-oriented mindset. The breadth of academic projects and involvement in leadership activities aligns with a culture that values initiative and continuous learning. However, the experience level is very low, which might require significant mentorship.
Soft Skills & Operational Fit
The candidate's profile highlights a detail-oriented approach and a passion for turning data into insights. Participation in extracurricular activities like Master of Ceremonies and Campus Ambassador roles suggests good communication and leadership potential. Being a knowledge contributor on GitHub and Discord indicates a collaborative spirit and willingness to share knowledge. However, without specific psychometric or English test results, a comprehensive assessment of operational fit and stress handling is not possible.