Hi, I am
MS in Computer Information Systems @ UHCL
Building scalable cloud data pipelines and analytics solutions on GCP, Azure & AWS to turn raw data into actionable business insights.
Years Experience
Source Systems
Locations
dbt Models
"Dream is not that which you see while sleeping, it is something that does not let you sleep."
Learn more about my journey and expertise
I'm Meet, a Data Analyst II based in Houston, currently working at Nitu Group - a multi-brand franchise company operating 94+ locations across Texas, Florida, and Colorado. I work at the intersection of data engineering and analytics, turning raw operational data into decisions that actually move the business.
At Nitu Group, I work inside a modern cloud data stack: POS systems feed into AWS S3 and GCP Storage, land in BigQuery as the warehouse, get transformed via dbt Cloud, and surface through Power BI dashboards used across store, area, and regional management. I maintain 60+ dbt models and built 16+ new ones for historical backloading of sales and payroll data.
Beyond my current role, I've built end-to-end cloud pipelines on Azure - Data Factory into ADLS Gen2, Databricks with PySpark, and Synapse Analytics and mirrored that on AWS using Lambda, Glue, and Athena. Clean, structured, reliable data infrastructure is what I care about building.
I've also explored agentic AI - built a stock recommendation system using LangChain and LangGraph that autonomously researches market data and surfaces investment insights. It's the direction I see data heading, and I want to stay ahead of it.
Let's connect!
My professional journey
Tools, Technologies & Skills
My academic background
University of Houston Clear-Lake
Jan 2024 - Dec 2025 • Houston, TX, USA
Focused on Data Science, Artificial Intelligence , Software Engineering, Machine learning, EDA, ETL
Charutar Vidya Mandal University
May 2020 - May 2023 • Anand, GJ, INDIA
Focused on Database Management Systems, Data Structures & Algorithms, Statistics, Python, Artificial Intelligence
Academic awards and professional certifications
Charutar Vidya Mandal University
Secured 1st Rank in the entire university for exceptional academic performance throughout the program.
Natubhai V Patel College-Academic Excellence
Awarded for outstanding academic performance and achieving the highest GPA (9.98/10.00) in the college and the university.
University of Houston Clear-Lake
Consistently maintained high academic standards with GPA of 3.65/4.0 across all semesters.
Udemy · KRISHAI Technologies
HackerRank
Showcasing innovation through data science, AI, and engineering
Built an intelligent AI agent framework that autonomously researches market data and delivers actionable stock investment recommendations, with specialized focus on covered call strategies and risk management.
An end-to-end Azure cloud-native data engineering pipeline that ingests data of Tokyo-Olympics using Azure Data Factory, stores raw and curated data in Azure Data Lake Storage Gen2, transforms data using Azure Databricks (PySpark), and enables serverless SQL analytics with Azure Synapse Analytics.
An end-to-end AWS serverless, event-driven ETL pipeline that ingests raw JSON data, transforms it using AWS Lambda, stores it as Parquet, catalogs it with AWS Glue, and enables SQL analytics using AWS Amazon Athena.
An end-to-end Data Engineering & SQL data cleaning project focused on transforming raw, messy Netflix data into clean, analytics-ready tables using ETL Concepts [ Raw Data --> Clean Data --> Transform Data --> Staged Data ], Python, PostgreSQL, and SQL.
Analyzing pandemic trends across all counties in the US with 3.5M+ data points,a detailed Python-based analysis of COVID-19 vaccination trends across counties in the United States. This project investigates how demographic, socioeconomic, and geographic factors influence vaccination rates, aiming to support data-driven public health strategies.
Custom linear regression model using Gradient Descent achieving R² of 0.606, matching scikit-learn's performance.
ML solution analyzing customer behavior patterns to predict churn with 85% accuracy using Random Forest.
Built an end-to-end Amazon Sales Analysis dashboard using Power BI to convert raw sales data into actionable insights. The project includes data cleaning, data modeling, and DAX calculations for key KPIs like sales, profit, and quantity sold. Interactive visuals highlight sales trends, category performance, supporting data-driven decision-making.
A comprehensive data analysis project that explores customer shopping behavior patterns using Python, SQL, and Power BI. This project analyzes customer demographics, purchasing patterns, product preferences, and subscription behaviors to derive actionable business insights.
This portfolio is regularly updated with new projects, skills, and achievements. Stay tuned for cool and exciting projects coming soon!
Ready to turn ideas into reality? Let's start a conversation
