About
Coding Experience
2 Years
Certifications
Paper Publications
I’m a Data Analyst with hands-on experience in building ELT pipelines, developing interactive dashboards, and turning raw data into actionable insights. Skilled in Python, SQL, Power BI, and cloud platforms, I specialize in data modeling, automation, and visualization to drive informed decision-making. With a Master’s in Information Systems and a background spanning analytics and data engineering, I bring both technical expertise and a business-focused mindset to every project.
"Download ResumeSkills
Programming Languages
Python
Pandas
NumPy
matplotlib
seaborn
scikit-learn
R
Shell scripting
Tools & Plat Forms
Apache Spark
Apache Airflow
Hadoop
Kafka
Data Bricks
MS fabric
ETL Tools
Informatica
Databases & Cloud Platforms
MySQL
PostgreSQL
MS SQL Server
MongoDB
SQLite
AWS
GCP
Redshift
Data Modeling & Analytics
Power BI
Tableau
Excel
Data cleaning
Star/Snowflake schema
Dimensional modeling
Data wrangling
Data storytelling
Qualification
My JourneySaint Louis University
Masters in Information SystemsAditya Engineering College
Bachelors in Information TechnologyVidhya Vikas
Senior High SchoolLead Development Engineer Intern
PigybakData Analyst Engineer Intern
ExcelerateData Analyst
AccentureProjects
Recent Projects
Data Warehouse & Analytics Project
Designed and implemented a Medallion Architecture data pipeline with Bronze (raw), Silver (cleaned), and Gold (star schema) layers for optimized analytics Built SQL-based ETL pipelines to ingest, transform, and standardize datasets from multiple sources using SQL Server Express and SSMS Modeled and optimized a star schema (fact and dimension tables) to support efficient business intelligence and reporting Developed advanced SQL queries and dashboards delivering actionable insights on customer behavior, product performance, and sales trends
Recruitment Funnel Dashboard
The Recruitment Pipeline Analytics Dashboard is a Power BI-based solution designed to streamline and optimize the hiring process by addressing key challenges such as inefficient sourcing, candidate misalignment, and delayed hiring decisions. By integrating Blockchain technology, the system ensures secure, tamper-proof recruitment data, enhancing trust and data integrity. The interactive dashboard provides real-time analytics on recruitment funnel performance, time-to-hire, candidate evaluation, sourcing effectiveness, and location-based trends. It also features predictive scenario modeling and automated alerts to support proactive, data-driven hiring strategies—ultimately reducing time-to-hire and improving overall recruitment outcomes.
RFM Segmentation for E-commerce Retention
Built an end-to-end analytics project using Python, SQL, and Power BI. Cleaned and transformed raw retail data into analysis-ready format. Applied RFM segmentation to identify loyal, at-risk, and churned customers. Designed an interactive dashboard to track revenue, profit, and customer behavior. Improved customer retention by 18% and re-engagement by 15% with data-driven insights.
To-Do List Application
Developed a simple web-based task management app using HTML, CSS, and JavaScript. Allows users to add, delete, and mark tasks as completed for daily productivity. Implemented interactive UI with real-time task updates. Focused on clean design and responsive layout for a smooth user experience.
City Weather Tracker
Built a dynamic weather application that fetches and displays real-time weather data including temperature, humidity, and windspeed based on user-inputted city names. Utilized the OpenWeatherMap API to retrieve live weather metrics and implemented error handling for invalid or misspelled city names. Designed a clean and responsive UI for a seamless user experience. The project demonstrates API integration, user input handling, and real-time data visualization.
Cloud Mart
Developed a multicloud application during The Cloud Bootcamp DevOps & AI Challenge using AWS (EC2, EKS), Azure, GCP, Docker, and Kubernetes. Deployed backend and frontend services, configured DynamoDB, and tested full-stack functionality. Built AI Assistants using OpenAI and Amazon Bedrock for customer support and engagement. Integrated Sonnet 3 LLM for advanced sentiment analysis to automatically evaluate customer conversations and trigger escalations via CloudMart Ticket Director. Gained hands-on experience in deploying scalable, intelligent cloud-native applications.