LeetCode
HackerRankAboutMe
Results-driven Data Analyst with expertise in SQL, Python, Power BI, and BigQuery. Skilled in building ETL pipelines, predictive models, and interactive dashboards that turn raw data into actionable business insights. Transitioning from frontend development, bringing a strong foundation in automation, data storytelling, and visualization.
TechnicalProficiency
My comprehensive toolkit for turning data into insights, showcasing my proficiency across various technologies.
Python
SQL
Power BI
BigQuery
Tableau
Pandas
NumPy
Excel
Looker
Git
API
SSMS
JavaScript
TypeScript
Java
MongoDB
Postman
Figma
Penpot
React
Node.js
Express.js
Hugo
MUI
Python
SQL
Power BI
BigQuery
Tableau
Pandas
NumPy
Excel
Looker
Git
API
SSMS
JavaScript
TypeScript
Java
MongoDB
Postman
Figma
Penpot
React
Node.js
Express.js
Hugo
MUI
Programming & Databases
- SQL
- Python
- BigQuery
- SQLite
- SQL Server
Data Analysis
- Data Cleaning
- Anomaly Detection
- Statistical Analysis
- Forecasting & Projections
- A/B Testing
Data Engineering
- Automated ETL Pipelines
- Data Lifecycle Management
- API Integrations
- Data Validation & Monitoring
Visualization & BI
- Power BI
- Tableau
- Looker Studio
- Excel / Google Sheets
Collaboration & Tools
- Git / GitHub / GitLab
- REST API
- Google Workspace
- Documentation
- SSMS
Soft & Business Skills
- Stakeholder Communication
- Requirements Gathering
- Agile Collaboration
- Data Storytelling
- Business Insights
ProjectsShowcase
Hospitality Revenue Analysis – AtliQ Grands
Automated ETL pipelines with optimized SQL queries, reducing reporting cycle by 40%. Built KPI dashboards (ADR, RevPAR, occupancy) to optimize pricing and revenue decisions.
Employee Churn Prediction – HR Analytics
Processed 15,000+ HR records in BigQuery, ensuring high-quality datasets. Developed churn prediction model with Random Forest, flagging high-risk employees 25% earlier, helping reduce attrition costs. Interactive Looker Studio dashboard visualizing churn risk by department and employee segments.
EV Market Entry Strategy – Automotive Sector
Forecasted EV adoption and sales scenarios using SQL + CAGR/DAX, improving forecast accuracy by 30%. Created dashboards comparing state-wise penetration, competitor performance, and market trends. Delivered data-driven recommendations for a multimillion-dollar investment strategy.
Epidemiological Data Pipeline & Dashboard – COVID-19 Project
Designed a real-time ETL pipeline with anomaly detection for clean COVID data ingestion. Built dashboards tracking infections, recoveries, and death trends across regions. Enabled early detection of spikes and trends for public health monitoring.
Explore More Projects
Including Machine Learning (Classification, Regression, and Time-Series Forecasting)
View on GitHubEducation
Sep 2024
MCA
MACFAST College
MG University
June 2022
BCA
Catholicate College
MG University
Certifications
Coursera • In Progress – Expected Oct 2025
Google Advanced Data Analytics
WorkExperience
Leveraging strong frontend expertise to build robust API integrations and scalable UI components. Proactively handled complex data structures and contributed to the development of intuitive interfaces, demonstrating a keen eye for data flow and visualization.
GetInTouch
Have a question or want to work together? Drop me a message!