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Data Analyst with 1+ years in Machine Learning & Data 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
Aspiring Data Scientist with strong skills in Python, Machine Learning, and Data Analysis. Experienced in building ML and deep learning models using Scikit-learn, TensorFlow, and PyTorch. Proficient in data preprocessing, feature engineering, and visualization using Pandas, NumPy, and Power BI. Presented a research paper at CIDA 2026 and passionate about applying data-driven techniques to solve real-world problems.
Kannur University
Post Graduate Diploma · Data Science & Analytics (PGDDSA)
June 1, 2024 – May 1, 2025
Morazha Cooperative Arts And Science College
Bachelor of Science (B.Sc.) · Computer Science
October 1, 2021 – April 1, 2024
Luminar Technolab
Data Analyst
June 1, 2024 – May 1, 2025
Cochin, Kerala, India
ScholarPath – Data-Driven Scholarship Eligibility System
February 1, 2026 – February 1, 2026
• Developed a full-stack web application using HTML, CSS, and JavaScript to help students find eligible scholarships. • Built backend APIs using FastAPI and managed data using SQLite. • Performed data cleaning and exploratory data analysis (EDA) on scholarship datasets. • Designed a rule-based eligibility and recommendation system for accurate matching. • Developed an Admin Dashboard for managing scholarship records efficiently.
View ProjectAI-Powered Automated Financial Report Generation System
February 1, 2026 – February 1, 2026
• Developed an AI-powered financial reporting system using Python, XGBoost, and LightGBM for net profit prediction. • Performed data preprocessing, exploratory data analysis (EDA), and feature engineering on financial datasets. • Built interactive dashboards and automated PDF reports to visualize financial insights and predictions. • Integrated Generative AI to create automated financial narratives and business reports.
TF Mixer on PLASTICC: Joint Time Frequency Modeling for Irregular Multivariate Astronomical Time Series Forecasting
Fifth National Seminar on Computational Intelligence and Data Analytics (CIDA 2026)
February 3, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a problem-solving mindset, which aligns with a proactive culture. The range of technologies used and the presentation of a research paper suggest a continuous learning attitude. However, the limited professional experience (internship-level) and academic focus might require additional mentorship to fully integrate into a fast-paced corporate environment. The target role of Data Analyst aligns well with the candidate's stated skills and project experience.
Soft Skills & Operational Fit
The candidate lists several soft skills including Leadership, Networking, Time Management, Visionary Thinking, Problem-Solving, Collaboration & Teamwork. These indicate a potential for good operational fit and team collaboration, though these are self-reported and not validated by assessments.