Data Science with less than a year in Machine Learning and Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BCA graduate and aspiring Data Analyst with a strong foundation in machine learning and statistical analysis. Proficient in Python, SQL, and data visualization tools including Pandas, NumPy, Tableau, and Power BI. Experienced in building data-driven solutions and performing exploratory data analysis (EDA). Passionate about leveraging data to solve real-world problems and deliver actionable insights.
Sree Narayana Guru College of Advanced Studies
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
Cochin, Kerala, India
Train Crowd Prediction using Machine Learning
June 18, 2026 – Present
Developed an ML model to classify crowd levels using weather and sensor data. Performed preprocessing, encoding, and scaling. Utilized Decision Tree and evaluated the model using accuracy/confusion matrix. Built a Streamlit app for real-time prediction.
Weather Impact on Public Movement Dashboard
June 18, 2026 – Present
Analyzed weather versus movement patterns. Performed EDA using Pandas and NumPy. Built Power BI dashboards for visualization.
Air Handwritten Text-Based Password System
June 18, 2026 – Present
Developed an air-writing system using MediaPipe and OCR. Implemented secure authentication. Used OpenCV and NumPy for processing.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of data science, from crowd prediction to air-handwritten text systems. This breadth suggests an adaptable mindset. The internship experience aligns well with a data science career path, indicating a clear career focus. However, without team-based project details or specific collaboration experiences, assessing cultural fit beyond general interest is challenging.
Soft Skills & Operational Fit
The candidate lists 'Leadership', 'Adaptability', and 'Time Management' as soft skills. While these are valuable, there is no assessment data or detailed project descriptions to validate their application in a team or operational setting. The candidate's experience is primarily academic and internship-based, suggesting a foundational understanding but limited real-world operational exposure.