Data Analyst | Business Intelligence | SQL & Python
Turning complex data into clear, impactful insights. I design intelligent models, build interactive dashboards, and create data-driven solutions that power smarter decisions.
Python
SQL
Pandas
Scikit-learn
Power BI
Tableau
Excel
B.Tech CSE student with hands-on experience in statistical analysis, machine learning, and business reporting — focused on translating complex datasets into clear, actionable insights.
Every analysis begins with a business question. I structure investigations around organizational KPIs, ensuring outputs directly support strategic decisions rather than surface-level reporting.
I approach data problems with hypothesis-driven workflows — validating assumptions through statistical testing, iterative modeling, and rigorous evaluation before recommending action.
From scoping the problem to delivering insights, I follow systematic pipelines — data cleaning, exploratory analysis, feature engineering, modeling, and visualization — so results are reproducible and scalable.
Technical depth means little without clarity. I translate analytical outputs into business language through dashboards, concise reports, and narrative-driven presentations tailored to each audience.
A comprehensive overview of my technical capabilities and tools used for data analysis and development.
C
C++
Python
Django
Java
JavaScript
HTML
CSS
MySQL
PostgreSQL
Redis
Excel (Pivot, VLOOKUP, Dashboard)
Tableau
Power BI
My track record of applying data-driven solutions to real-world business challenges.
Mar 2024 — Jan 2026
Advanced Excel
SQL
Data Validation
Reporting
Team Collaboration
End-to-end analytical projects demonstrating business problem solving, ML model deployment, and data-driven insight generation.
Machine learning engineered to identify high-risk customers, enabling targeted revenue retention campaigns.
High-performance e-learning architecture delivering personalized and adaptive student pathways.
A machine learning web app determining if an Electric Vehicle is long-range based on vehicle features.
Predictive modeling to identify at-risk employees and boost HR retention strategies before attrition occurs.
Milestones and awards that validate my technical problem-solving capabilities.
Mar 2026
Qualified GATE 2026, demonstrating strong aptitude in computer science and problem-solving.
Lovely Professional University • Feb 2024
Secured 1st position among 450+ participating teams for developing an innovative EdTech solution (EDU_HUB) with an adaptive learning architecture.
Coding Ninjas LPU • Jun 2024
Achieved Top-5 rank among 750+ participants in the intensive Tech Blitz Hackathon.
My foundational learnings and ongoing academics.
Phagwara, Punjab
Bachelor of Technology — Computer Science and Engineering
CGPA: 7.12
Parbhani, Maharashtra
Intermediate
Percentage: 88.00%
Parbhani, Maharashtra
Matriculation
Percentage: 90.20%
Reach out for opportunities, collaboration, or just to say hello.
Customer churn directly impacts revenue and growth. The business needed a predictive model to identify high-risk customers before disengagement, enabling targeted retention campaigns.
Customer behavioral & demographic dataset — usage, engagement, churn flags.
Data Cleaning → EDA → Feature Engineering → XGBoost → Power BI Dashboards.
Existing educational platforms suffer from slow page loads and poor adaptive experiences. This project engineered a high-performance e-learning platform delivering personalized learning pathways.
HTML5, CSS3, JavaScript, Django, PHP APIs.
Frontend Architecture → Hybrid Backend → Interactive Assessment Module → UX Standardization.
