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Data Analyst with less than a year in Python & 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
Aspiring Data Analyst and Python Developer with hands-on experience in Python, SQL, MySQL, MongoDB, Snowflake, Power BI, Advanced Excel, ETL/ELT, Data Analytics, and Machine Learning. Skilled in EDA, Data Visualization, Pandas, NumPy, Matplotlib, Seaborn, OOP, Git/GitHub, and Dashboard Development. Experienced in building predictive models and data-driven applications through internships and real-world projects. Strong ability to transform raw data into actionable business insights and scalable solutions.
East West College of Engineering
Computer Science and Engineering
August 1, 2022 – June 30, 2026
EmotiPlan - AI-Powered Emotion-Based Day Planner
August 1, 2025 – March 1, 2026
Designed and developed an AI-powered productivity application leveraging Python, Machine Learning, Emotion Analysis, and Behavioral Analytics to deliver personalized task recommendations. Implemented intelligent emotion-based activity scheduling, increasing user productivity by 40% and improving task completion rates by 32%. Integrated sentiment detection, recommendation algorithms, and data-driven planning features, boosting user engagement by 35% and enhancing daily workflow optimization. Utilized data analysis and predictive insights to recommend breaks, focus sessions, and activities, resulting in a 25% improvement in user retention.
Loan Approval Status Prediction | Data Analysis Project
January 1, 2024 – March 1, 2024
Built a Machine Learning-based Loan Approval Prediction System using Python, Pandas, NumPy, Scikit-learn, and Exploratory Data Analysis (EDA) to automate credit risk assessment and loan eligibility evaluation. Performed data preprocessing, feature engineering, and predictive modeling, improving classification accuracy by 35% and reducing manual review effort by 30%. Developed and evaluated multiple classification algorithms to enhance decision-making efficiency and support data-driven lending strategies. Generated actionable insights through data visualization and statistical analysis, accelerating loan processing workflows by 30%.
Data Analytics
DHEE CODING LAB
December 1, 2025 – Present
Data Science
Skill Vertex
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analysis and machine learning skills. The diversity of projects (loan prediction, emotion-based planner) indicates a broad interest in applying data science to different domains. The certifications and ongoing education suggest a commitment to continuous learning, which aligns well with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from personal projects and educational pursuits.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and the ability to translate data into actionable insights. The EmotiPlan project also suggests an interest in user experience and engagement, which could be beneficial for understanding business needs. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.