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Data Science with less than a year in Python & Machine 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
Aspiring Data Scientist with hands-on experience in Python, SQL, Machine Learning, and Data Visualization. Skilled in data preprocessing, exploratory data analysis (EDA), and predictive modeling, with a passion for solving real-world problems through data-driven insights.
Weltec Institute
Data Science Course
September 1, 2025 – Present
Madhuben & Bhanubhai Patel Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
October 1, 2021 – May 1, 2025
Edunet Foundation
Data Analyst Intern
January 1, 2025 – May 1, 2025
Anand, Gujarat, India
DeepFake Detection
June 19, 2026 – Present
Developed a deep learning-based DeepFake detection model for classifying manipulated media. Applied Convolutional Neural Networks (CNNs) for feature extraction and image classification. Preprocessed image and video frames using OpenCV to enhance model performance. Implemented binary classification techniques to distinguish authentic and manipulated content. Evaluated model effectiveness using training and validation metrics.
Customer Churn Prediction
June 19, 2026 – Present
Developed a machine learning model to predict customer churn using classification algorithms. Performed data cleaning, preprocessing, feature engineering, and categorical encoding. Evaluated model performance using Accuracy, Precision, Recall, and F1-Score metrics. Conducted exploratory data analysis to identify factors influencing customer retention and churn behavior. Generated actionable insights to support customer retention strategies.
Hospital Management System
June 19, 2026 – Present
Designed and implemented a relational database system for managing hospital operations. Created optimized SQL queries, joins, and stored procedures for efficient data retrieval. Managed patient, billing, and appointment records through structured database design. Improved reporting and operational efficiency using SQL-based solutions.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse data science applications, from traditional machine learning to deep learning and database management. The internship experience aligns with data analysis roles, which are foundational to data science. However, the experience level is very low (0 years), and the education is still ongoing, which might impact immediate cultural fit for a senior role requiring extensive industry experience and independent problem-solving.
Soft Skills & Operational Fit
The candidate's psychometric test score (310/500) suggests moderate logical reasoning, work attitude, stress handling, and team collaboration. The English test score (72/100) indicates good communication clarity and professional language usage. The project descriptions show an ability to articulate technical processes clearly.