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🎓 CSE @ Thapar | 👩🔬 IEEE-published AI Researcher | 🧠 ML & CV Enthusiast | 🎨 Art & 🎤 Music Lover | Currently brewing Flask APIs & backend magic 🧪🐍
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SITA
Software Engineer
June 19, 2026 – Present
certifications
September 22, 2025 – October 18, 2025
This repository serves as a portfolio of all my certifications across Data Science, Machine Learning, NLP, Visualization, Analytics, and related fields. Each certificate entry includes verified Coursera credential links, PDFs, grades, and the skills gained, making it a central hub for my continuous learning journey.
View ProjectLeveraging-Machine-Learning-for-Classification-of-Obesity-Risk-Across-Diverse-Demography
July 18, 2025 – July 18, 2025
Obesity poses major public health risks. This study compares ML models (LR, KNN, DTC, GB, MLP, FNN) on 3 datasets for obesity risk prediction. Gradient Boosting achieved top accuracy: 95% on Dataset 1, 98% on Datasets 2 & 3. Results highlight ML’s role in personalized, preventive healthcare.
View Projectrishita-verma01
July 18, 2025 – August 5, 2025
🚀 Hello World! I'm Rishita, a passionate Computer Science undergrad from Thapar Institute of Engineering and Technology, blending AI/ML research with creativity 🎨 and melody 🎶. I love building intelligent systems and using code to solve real-world problems.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in AI/ML and problem-solving, which aligns with an innovative and research-oriented culture. The 'certifications' project suggests a self-driven and continuous learning mindset. However, the lack of team-based project descriptions or collaborative experiences makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the general project descriptions. The psychometric test scores are 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration.