Naitikkumar Patel

Naitikkumar Patel
ƒ +91 6353309211  # patelnaitikkumar05@gmail.comï linkedin.com§ github.com
Summary
Machine Learning and Data Science focused Computer Engineering student with a 9.28 CGPA and strong problem-
solving skills (1000+ LeetCode problems, Peak Rating 1950+, Top 4% globally).  Experienced in building predictive
models and recommendation systems using Python, Scikit-learn, and NLP. Seeking opportunities in Machine Learning,
Data Science, or Software Development.
Education
Pandit Deendayal Energy University2023 – Present
Bachelor of Computer Engineering (CGPA: 9.28/10)Gandhinagar, Gujarat
H.B Kapadia High School2023
JEE Main Percentile: 93.12Ahmedabad, Gujarat
Experience
Nirvana Sangh FoundationApril 2024 – May 2024
Community Service InternAhmedabad, Gujarat
• Assisted in community health and education initiatives through awareness campaigns.
• Supported Mobile Medical Dispensary operations and maintained records.
• Developed teamwork and problem-solving skills through real-world work.
Projects
Weather Prediction Web ApplicationLive Demo| GitHub
Technologies: Python, Scikit-learn, Pandas, NumPy, FastAPI, HTML, CSS, JavaScript
• Built a time-series weather prediction system using RandomForestRegressor, improving forecast reliability.
• Engineered features and processed data using Pandas and NumPy to enhance model performance.
• Developed an interactive web interface for real-time visualization of predictions.
• Achieved 85% accuracy, demonstrating strong predictive performance.
Movie Recommendation SystemLive Demo| GitHub
Technologies: Python, Scikit-learn, Pandas, NumPy, NLP, Streamlit
• Designed content-based movie recommendation system using TF-IDF, cosine similarity for personalized suggestions.
• Leveraged NLP techniques and Logistic Regression for sentiment-aware recommendations.
• Achieved Precision@10 of 0.678, indicating strong recommendation relevance.
• Built an interactive Streamlit interface enabling real-time user-driven recommendations.
Technical Skills
Languages: Java, Python, SQL, PHP
Machine Learning: Scikit-learn, TensorFlow, Keras, NLP
Data Analysis: Pandas, NumPy, Excel, PowerBI
Web: HTML, CSS, JavaScript
Frameworks: FastAPI, Streamlit, Node.js, Express.js
Databases: MySQL, MongoDB
Tools: Git, GitHub, Jupyter Notebook
Core Subjects: DSA, DBMS, OS, Object-Oriented Programming, CN
Achievements
• LeetCode: Solved 1000+ DSA problems| Peak Rating 1950+| Top 4% globally 2
• 2nd Runner-Up at Breach Hackathon (FinTech, PDEU)
Certifications
• AI/ML & Data Science – GeeksforGeeks SkillUp (Feb 2026)
• AWS Cloud Practitioner Essentials (March 2026)
• Right Size Your Amazon EC2 Workload (March 2026)
• NPTEL: Understanding Incubation and Entrepreneurship (Oct 2025)
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