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Data Analyst with less than a year in Machine Learning & Data Visualization
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Results-driven Information Science fresher (CGPA 8.5) with hands-on experience in Python, SQL, Power BI, and data visualization. Built ETL pipelines, vendor performance analysis systems, and interactive dashboards that surface actionable business insights. Seeking a Data Analyst role where I can apply data cleaning, statistical analysis, and data storytelling skills to drive data-driven decision-making.
Dayananda Sagar Academy of Technology & Management, VTU
B.E. · Information Science & Engineering
August 1, 2022 – June 30, 2026
Mindenious
Machine Learning Intern
December 1, 2025 – January 1, 2026
India
Customer Shopping Behavior Analysis - Analytics System
October 1, 2025 – December 1, 2025
Analyzed ~3,900 customer records across 16 attributes (demographics, product categories, payment methods, seasonal trends) using Python (Pandas, NumPy, Matplotlib, Seaborn). Performed data cleaning and wrangling on raw transactional CSV data (20,000+ rows) using Python pandas before loading into Power BI for analysis. Built an interactive Power BI dashboard with 10+ visualizations and 7 KPIs (Total Revenue, Avg Purchase Value, Top Category) to surface retail business insights.
View ProjectVendor Performance Analysis System
January 1, 2025 – February 1, 2025
Built a Python-based end-to-end data pipeline to fetch vendor sales and purchase data from MySQL, perform data cleaning, and generate automated vendor summary reports saved as CSV. Designed ETL pipeline with structured data ingestion from MySQL, handling missing values, duplicate records, and type mismatches across 3 data sources (vendor, sales, purchase tables). Implemented Python logging framework to track each stage of the data ingestion and cleaning process, enabling auditability and faster debugging. Generated vendor summary reports with KPIs including purchase volume, sales revenue, and vendor ranking — enabling data-driven vendor decision-making.
View ProjectRidge-Net AI - Fingerprint Blood Group Classifier
January 1, 2025 – March 1, 2025
Developed an AI-powered image classification model using TensorFlow CNN and Fast.ai ResNet-50 ensemble to classify blood groups from fingerprint images for medical decision-making. Cleaned and preprocessed a dataset of 2,000+ fingerprint images; applied data augmentation techniques to improve model generalization and reduce overfitting. Achieved 87% prediction accuracy on test set; evaluated model performance using precision, recall, and F1-score metrics.
View ProjectSmart Soil and Crop Optimization System
Published Patent
December 1, 2024 – Present
Data Visualization with Power BI
Microsoft / Coursera
December 1, 2024 – Present
Databases and SQL for Data Science with Python
IBM / Coursera
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a proactive approach to learning and applying diverse technical skills. The range of projects, from data analysis to machine learning, indicates a broad interest in data-related fields. The patent publication also highlights an innovative mindset. These attributes suggest a good cultural fit for a dynamic, data-driven environment, though the lack of professional experience outside of an internship means direct cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills through project descriptions, including data storytelling and business intelligence. The ability to work on diverse projects (vendor analysis, customer behavior, AI classification) suggests adaptability. The logging framework implementation in the Vendor Performance Analysis System project indicates an understanding of operational best practices like auditability and debugging.