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Data Analyst with 1+ years in Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented B.Sc. Data Analytics graduate with hands-on experience in Python, SQL, and Power BI. Proven ability to clean and transform complex datasets, build interactive dashboards, and generate actionable business insights. Skilled in applying machine learning techniques including KNN to real-world problems. Seeking a data analyst role where strong analytical and visualization skills can drive data-informed decision-making.
Dr. NSAM First Grade College, Nitte
B.Sc. · Data Analytics
August 1, 2023 – June 30, 2026
Poornaprajna PU College, Admar
Pre-University · Science
June 1, 2021 – May 31, 2023
Al Ihsan Academy School, Muloor
Secondary School Certificate
June 1, 2020 – May 31, 2021
CodeLab Systems
Data Analytics Intern
June 1, 2025 – July 1, 2025
Mangalore, Karnataka, India
Crop Recommendation System using KNN
December 1, 2025 – Present
Built a crop recommendation model using the K-Nearest Neighbours (KNN) algorithm on the Kaggle Crop Recommendation Dataset, achieving accurate crop predictions based on soil and environmental parameters. Performed end-to-end data preprocessing and feature selection using Pandas and Scikit-learn in Google Colab, improving model input quality. Designed and deployed an interactive Gradio interface enabling real-time, user-driven crop recommendations without technical expertise.
Heart Disease Analysis
June 1, 2025 – Present
Collected, cleaned, and preprocessed a Kaggle heart disease dataset in Jupyter Notebook using Python, handling missing values and transforming features for reliable analysis. Built interactive Power BI dashboards to visualize key health indicators and disease trends, surfacing clinical insights for data-driven interpretation.
Data Analysis with Python
Coursera
July 1, 2025 – Present
Python for Data Science
NPTEL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a proactive approach to learning and applying data analytics skills. The diversity of projects (heart disease analysis, crop recommendation, sales data) indicates a broad interest in applying data science to different domains. The certifications further demonstrate a commitment to continuous learning. However, the overall experience level is very junior, which might require significant mentorship and integration into a senior team's workflow.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, communication, and time management skills through project descriptions and internship experience. The academic background in Data Analytics aligns well with the target role. However, the limited professional experience (one short internship) suggests a need for more operational exposure and independent problem-solving in a corporate setting.