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Data Science with 1+ years in Machine Learning & AI
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Assessing your cultural and operational fit
Computer Science Engineer with strong knowledge of Python, Machine Learning, Deep Learning, and Data Analysis. Skilled in data preprocessing, exploratory data analysis (EDA), feature engineering, and model development. Experienced in building AI/ML projects using modern frameworks and tools. Passionate about applying data-driven and AI-based solutions to real-world problems.
SCMS School of Engineering and Technology (KTU)
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Rogersoft Technologies
Data Science Intern
June 1, 2025 – Present
Cochin, Kerala, India
Dynamic Price Predictor
June 1, 2026 – Present
Built an end-to-end machine learning pipeline for price prediction. Performed data cleaning, exploratory data analysis (EDA), and feature engineering. Trained regression models and applied hyperparameter tuning. Evaluated performance using MAE, RMSE, and R2 metrics.
AI Powered E-Commerce Platform
June 1, 2026 – Present
Developed an AI-powered e-commerce platform using Flask and MySQL. Implemented product recommendation using Apriori algorithm and GPT API. Integrated backend services with database for product and user management.
Daily Task Tracker (Flask Web Application)
June 1, 2026 – Present
Developed a full-stack web application using Flask and PostgreSQL (Neon). Implemented CRUD operations for task management. Designed frontend using HTML, CSS, and JavaScript.
Diabetic Retinopathy Detection Using Ensemble Learning
September 1, 2024 – February 1, 2025
Designed a deep learning system for multi-class classification of diabetic retinopathy stages. Used an ensemble of VGG16, VGG19, ResNet101, and ResNet152. Applied image preprocessing, data augmentation, and feature extraction techniques. Achieved high accuracy in medical image classification.
British Airways Data Science Job Simulation
Forage
October 1, 2025 – Present
ETL in Python and SQL – Data pipeline development using Python and SQL
Unknown
June 1, 2025 – Present
Microsoft Azure AI Essentials - Workloads and Machine Learning on Azure
Microsoft Azure
June 1, 2025 – Present
Programming Fundamentals using Python
Infosys Springboard
January 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in applying data-driven and AI-based solutions to real-world problems, aligning well with an innovative and problem-solving culture. The diversity of personal and academic projects (e-commerce, price prediction, medical image classification) indicates a broad curiosity and willingness to tackle different challenges. The internship experience further solidifies their commitment to the field. However, the candidate is still pursuing a bachelor's degree, which might indicate a need for more structured mentorship and integration into a professional team environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, time management, and self-learning as soft skills. These are crucial for a Data Science role, especially in an internship capacity. The project descriptions and internship duties suggest practical application of these skills, particularly in problem-solving and self-learning through diverse project work. However, without direct assessment, the depth of these skills cannot be fully validated.