B.Tech CSE Graduate (2025) | Data Science & AI Enthusiast | Python, SQL, Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate (2025) with training in Data Science and Artificial Intelligence. Skilled in Python, SQL, Power BI, Machine Learning, Data Cleaning, Exploratory Data Analysis, and Data Visualization. Completed internships in Data Science and Power BI and developed machine learning projects including Heart Disease Prediction and Deepfake Detection. Seeking opportunities in Data Analytics, Business Intelligence, Data Science, and AI.
Eranad Knowledge City Technical Campus
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Aesthetix Edutech
Data Science Intern
June 1, 2025 – January 1, 2026
Cochin, Kerala, India
Edunet Foundation
Data Science & Power BI Intern
September 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India
Heart Disease Prediction Using Machine Learning Algorithms
October 1, 2024 – October 1, 2024
Developed and deployed a cost-effective and portable web application for real-time heart disease prediction using machine learning models. Executed data collection, data preprocessing, feature selection, model training, and prediction.
Deepfake Image Detection System using Deep Learning
May 1, 2024 – May 1, 2024
Engineered a deep learning-based image classification system using EfficientNetB0 with transfer learning to detect real vs fake images, achieving 86%. Applied fine-tuning and data augmentation techniques to improve model generalization and deployed the system using Streamlit for real-time prediction.
Deloitte Data Analytics Job Simulation
Forage
February 1, 2026 – Present
NASA Space Apps Challenge
Rajagiri School of Engineering and Technology & Unique World Robotics
October 1, 2024 – Present
Full Stack Web Development Internship Certificate
EY Global Delivery Services & Edunet Foundation (Next Gen Employability Program)
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in data science and analytics, aligning well with a Data Analyst role. The diversity of projects (heart disease prediction, deepfake detection) and exposure to different tools (Streamlit, Power BI, Azure ML) indicate adaptability and a willingness to explore various applications of data science. The certifications, including a Deloitte Data Analytics Job Simulation and NASA Space Apps Challenge, suggest a proactive approach to learning and engagement with industry-relevant challenges. However, the experience level is entry-level, which might require more mentorship in a senior team setting.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as collaboration, documentation, presentation, and task management. Project descriptions indicate teamwork (e.g., 'Team of 4', 'Team of 2'). The internship experiences suggest an ability to work within structured environments and contribute to operational improvements (e.g., 'reducing data processing time by 25%', 'improving reporting efficiency by 40%'). However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.