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Data Science with less than a year in Machine Learning & Data Analytics.
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 Application graduate with a strong foundation in Machine Learning, Data Analytics, and Python programming through projects and a data science internship. Proficient in Python, SQL, Power BI, NumPy and Pandas with hands-on experience in developing machine learning models, data preprocessing, exploratory data analysis (EDA), and dashboard creation. Passionate about building AI-driven solutions and eager to contribute to real-time data problems in a collaborative environment.
College of Applied Science, Adoor
BCA
August 1, 2022 – June 30, 2025
Luminar Technolab
Data Science Intern
July 1, 2025 – March 1, 2026
India
Academic Dashboard (Power BI)
June 18, 2026 – Present
Built an interactive dashboard to analyze student performance, course distribution, instructor workload, and to support data-driven academic decision-making.
AI-Based Face Recognition & Hand Gesture Detection System
June 18, 2026 – Present
Developed a real-time face recognition and gesture detection system using computer vision. Implemented face identification (face_recognition) and gesture detection (MediaPipe).
Movie Revenue Prediction
June 18, 2026 – Present
Developed a machine learning model to predict movie revenue. Built a Streamlit app for real-time prediction and visualization.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science concepts, including personal projects like AI-Based Face Recognition and Movie Revenue Prediction. The academic dashboard project shows an interest in using data for decision-making. The internship experience aligns well with a data-centric role. The breadth of tools and project types suggests adaptability and a willingness to explore different areas within data science, which generally contributes positively to cultural fit in dynamic environments. However, the experience level is entry-level, which might require mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights 'Team Collaboration', 'Problem Solving', and 'Analytical Thinking' as soft skills. Project descriptions indicate an ability to work on diverse data-related tasks, suggesting a foundational operational fit for roles requiring data manipulation and visualization. However, without specific assessment data on these soft skills, a deeper evaluation of operational fit is limited.