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Data Science with less than a year in data analysis, machine learning, and visualization.
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 Science graduate and aspiring Data Scientist with internship experience in data analysis, machine learning, and visualization. Skilled in Python, SQL, and Power BI, with a strong interest in applying data-driven solutions to real-world problems.
APJ Abdul Kalam Technological University, College of Engineering Kidangoor
B.Tech · Computer Science & Engineering
N/A – June 30, 2025
LUMINAR TECHNOLAB
DATA SCIENCE INTERN
June 1, 2026 – Present
Cochin, Kerala, India
Real-Time Gym Workout Detection
June 1, 2026 – Present
Designed pose-based system using OpenCV and MediaPipe to classify exercises. Implemented optimized rules for accurate detection of overlapping movements.
Bus Passenger Demand Prediction System
June 1, 2026 – Present
Developed Random Forest Regression model to forecast passenger demand. Built Streamlit web app for real-time predictions.
Power BI Essentials
Online Certification
June 1, 2026 – Present
Python for Data Science
Online Certification
June 1, 2026 – Present
Introduction to Data Science, AI & Machine Learning
Piechart Digital Solutions
June 1, 2026 – Present
SQL for Data Analytics
Online Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience indicate a strong interest and foundational alignment with a Data Science role. Participation in leadership and volunteering activities suggests a proactive and collaborative mindset, which generally contributes to a positive cultural fit. The diversity of projects (demand prediction, workout detection) shows a breadth of interest within data science applications.
Soft Skills & Operational Fit
The candidate lists collaboration, leadership, problem-solving, and adaptability as soft skills. Leadership roles in college activities suggest potential for teamwork and initiative. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.