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Data Science with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical professional skilled in data analysis, visualization, and machine learning, using Python, SQL, and BI tools to extract insights and support research-driven problem solving. Experienced in data cleaning, exploratory data analysis (EDA), statistical analysis, and data interpretation to enable data-driven decision-making across analytical, AI, and research-focused roles.
Ilahia College of Engineering and Technology
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
RoshAI Pvt Ltd
AI Intern
January 1, 2026 – April 1, 2026
Cochin, Kerala, India
Zoople Technologies
Data Analyst Intern
August 1, 2025 – December 1, 2025
Cochin, Kerala, India
Accident Risk Prediction Model
June 19, 2026 – Present
• Built a classification model using 10,000+ records to predict accident probability. • Applied data preprocessing and feature engineering to improve model performance. • Achieved approximately 80% accuracy through model tuning and evaluation.
Water Consumption Dashboard
June 19, 2026 – Present
• Developed an interactive dashboard to analyze regional water usage and scarcity trends. • Designed visual reports to identify high-consumption zones and patterns. • Reduced manual reporting effort by approximately 30%.
Exercise Monitoring and Guidance System
June 19, 2026 – Present
• Built a real-time posture detection system using computer vision techniques. • Analyzed 30+ body landmarks per frame for exercise guidance. • Improved workout accuracy through posture correction feedback.
Cultural Fit Analysis
The candidate's academic projects and internships align with the target role of Data Science, demonstrating a clear interest and foundational experience in the field. The diversity of projects (computer vision, classification, dashboarding) shows a breadth of exposure within data science domains. However, all projects are academic or internship-based, indicating limited exposure to complex, production-level systems or diverse team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on analytical problem-solving and contribute to real-world AI projects. The internship experiences suggest a collaborative attitude and a willingness to assist in various stages of the ML workflow. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.