Data Science with less than a year in Python, Machine Learning, and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering student with strong expertise in Python, SQL, Machine Learning, Deep Learning, Data Visualization, and Power BI. Skilled in developing AI-driven applications, analyzing complex datasets, and building data-oriented solutions to address real-world challenges. Passionate about Data Science, Artificial Intelligence, and predictive analytics with a strong focus on continuous learning and problem-solving.
Marwadi University
Bachelor of Technology · Computer Engineering
August 1, 2022 – June 30, 2026
BSEB
Higher Secondary
June 1, 2018 – May 31, 2020
BSEB
Matriculation
June 1, 2018 – May 31, 2018
Octanet Services Pvt. Ltd.
Python Development Intern
June 1, 2024 – July 31, 2024
Ahmedabad, Gujarat, India
AI-Based Student Performance Prediction System
January 1, 2026 – March 31, 2026
Developed a Machine Learning-based system to predict student academic performance using historical and behavioral data. Performed data preprocessing, EDA, and model training using Pandas, NumPy, and Scikit-learn. Built and evaluated ML models including Logistic Regression, Random Forest, and Decision Tree.
Fake News Detection
September 1, 2025 – December 31, 2025
Developed an AI-powered Fake News Detection system using Machine Learning techniques to classify news as real or fake across text, audio, video, and news links. Built the backend using FastAPI and integrated MongoDB for efficient data storage and management. Trained and optimized ML models to improve prediction accuracy and enhance real-time news classification performance. Performed data preprocessing, feature extraction, and model evaluation using Python and Scikit-learn.
Python Data Structures | To learn Advance Programming Techniques
Coursera
March 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems (student performance, fake news detection). Participation in a debating and leadership committee suggests an inclination towards teamwork and communication, which are positive indicators for cultural fit. However, the overall breadth of experience is limited to academic settings, and there is no information to assess adaptability to diverse corporate cultures or complex team dynamics.
Soft Skills & Operational Fit
The candidate lists 'Team Work', 'Communication', and 'Leadership' as soft skills. Project descriptions indicate some level of collaboration and communication, particularly in academic settings. The internship experience, while brief, suggests an ability to follow instructions and debug code. However, the operational fit for a senior role is limited due to the candidate's early career stage and lack of extensive professional experience.