01 About Me
Overview

I am a final-year BE student in Medical Electronics at BMS College of Engineering with a strong passion for data analytics. I have developed hands-on skills in Python, SQL, Power BI, and Excel through academic projects, internships, and self-driven learning.

My internship at InnAccel Technologies gave me real-world experience in building automation pipelines for medical device data analysis. I am eager to apply my analytical skills to solve business problems and contribute to data-driven decision-making.

Final Year Student BE Medical Electronics, BMSCE
Internship Experience Data Analysis at InnAccel Technologies
Self-Learner Python, SQL, Power BI through projects
02 Technical Skills
Stack
Python
Pandas, NumPy, Automation
SQL / MySQL
Querying, Data Extraction
Power BI
Dashboards, DAX, KPIs
Excel
VBA, Pivot, Automation
Data Cleaning
Validation, Preprocessing
EDA & Statistics
Analysis, Visualization
Git
Version Control
Machine Learning
Basics, Classification
03 Data Visualizations
Gallery

A showcase of dashboard designs and data visualization techniques I have worked with. These represent the kind of analytics outputs I can create using Power BI, Python, and Excel.

04 Experience
Internship
Data Analyst Intern Internship
Jan 2026 — Present
InnAccel Technologies Pvt. Ltd.
Working on the SAANS neonatal CPAP device project. Developing Python-based automation pipelines to process therapy session logs. Performing data cleaning, validation, and session classification. Building Excel-based dashboards for device performance monitoring and report automation.
Python Pandas NumPy Excel Automation Data Validation
05 Projects
Portfolio
E-Commerce Customer Analytics
Analyzed customer purchase and sales data using Python, SQL, and Power BI to identify revenue trends and customer behavior patterns.
  • Data cleaning and exploratory data analysis (EDA)
  • Customer segmentation for business insights
  • Interactive dashboards for KPI monitoring
  • Sales performance and retention analysis
Python SQL Power BI
Credit Card Fraud Detection
Built a fraud detection and risk analytics system using Python, SQL, and machine learning techniques on transaction data.
  • Data preprocessing and feature engineering
  • Predictive models for high-risk transactions
  • Real-time fraud trend monitoring dashboards
  • Risk score visualization and reporting
Python Machine Learning Power BI
06 Education
Academic
BE in Medical Electronics
BMS College of Engineering
2022 — 2026
8.41/10
Pre-University College (PUC)
Vidyanidhi Independent PU College
2020 — 2022
92%
Secondary School (SSLC)
Carmel Jyothi High School
2019 — 2020
88.32%
07 Certifications
Credentials

Python 101 for Data Science

IBM Certified

Machine Learning

SkillUp Certified

Full Stack Web Development

Varcons Technologies — Project: Deloitte Web Page

MathWorks Code Crux

MathWorks Certified