Measured impact across 3 companies

0% Reduced manual
data maintenance
0M+ Records migrated
GCP to MariaDB
0% Sales increase
driven by product insights
0% Own Brand
penetration growth
<0s SQL query time
(down from 45 min)
See my work ↓ Get in touch

About Me

Bridging the gap between engineering and analytics.

My background is in Computer Engineering, but my true passion is working with data. I don't just wait for clean datasets to arrive, I build the pipelines to get them, and then translate that chaos into clear stories that drive business decisions.

When I'm not writing SQL or tuning forecasting models, you'll find me traveling, exploring food spots for my vlog, or watching cricket (massive RS45 and Dale Steyn fan!).

Get in touch →
Parth Maheshwari

Experience

Data Analyst
Global Omni · Remote, USA
Nov 2024 – Apr 2026
  • Accelerated sales growth by 10% by performing exploratory data analysis on point-of-sale data and identifying top product categories with Python, Excel, and Power BI.
  • Optimized supply chain efficiency and reduced costs by engineering a scalable Python ML model and an automated batch-data pipeline.
Data Analyst/Engineer
Copart, Inc · Dallas, USA
Jan 2024 – Oct 2024
  • Streamlined reference data management and ensured cross-environment data consistency, reducing manual update time by 75%, by engineering a centralized Python Flask web application and writing complex SQL queries.
  • Migrated 47M+ records from GCP to MariaDB, reducing transfer time by 75%, using batch processing through Pentaho and Python, improving data accessibility for analytics and reporting.
  • Engineered an automated API workflow for Change Requests (CRs), eliminating up to 5 hours of manual processing daily while improving quality control and deployment tracking.
  • Partnered with Product, Engineering, and cross-functional teams to gather requirements and build data models, ensuring alignment with business objectives.
Analyst
Wakefern · Hoboken, USA
Oct 2022 – Dec 2022
  • Improved Own Brand penetration by 20% by performing quantitative analysis on 100K+ records and identifying three product categories outperforming national brands by 50% using Python and MS Excel.

AI

LLMs Prompt Engineering RAG Claude Gemini ChatGPT

Data Wrangling

Excel (Pivot Tables, VLOOKUP, SUMIF) SQL (Joins, CTEs, Window Functions) Python (Pandas, NumPy)

Visualization

Power BI Tableau Python (Matplotlib)

Databases

BigQuery MariaDB MySQL SQL Server

ETL

Pentaho dbt Airflow (Learning)

Cloud

GCP AWS
Data Analyst (Forecasting)
Global Omni · Remote, USA
Nov 2024 – Apr 2026
  • Developed 12-month time-series forecasting models in Python to predict inventory needs, monitor key trends, and provide data-driven business insights.
Analyst (Statistical Analysis & Experimentation)
Wakefern · Hoboken, USA
Oct 2022 – Dec 2022
  • Ran A/B tests and statistical modeling across 100K+ records to validate product features and identify high-performing categories, driving a 20% Own Brand penetration improvement.

AI / Machine Learning

RAG Gemini API GPT FAISS Prompt Eng. Vector Search

Analytics Methods

A/B Testing Statistical Modeling Regression Gradient Boosting

Languages

Python (Pandas, NumPy, Scikit-learn)

Projects

AI/ML Engineering Gemini RAG Streamlit
Text-to-SQL AI Agent
View on GitHub
  • 12-node RAG-powered agent (Google Gemini + FAISS)
  • Converts natural language into SQL queries with Streamlit charts
  • Pre-LLM guardrail that prevents data integrity errors
  • Learns and self-corrects from SQL mistakes
⚡ 45 min to 15 sec data retrieval
Analytics SQL Python Power BI
Marketing Analytics & Sentiment Analysis
View on GitHub
  • End-to-end pipeline: SQL cleaning → Python sentiment analysis → Power BI
  • Identified top 3 high-conversion categories with 32–42% positive sentiment
  • Recommended shift from blog to video/social content strategy
  • Targeted campaigns for mixed-positive review segments
📊 2 strategies to actionable campaign recommendations
Data Science Python Scikit-learn
Real Estate Price Prediction
View on GitHub
  • Predicts house prices for King County, USA
  • Compared Linear Regression, Random Forest & Gradient Boosting
  • Achieved 79.4% accuracy with GradientBoostingRegressor
🎯 79.4% accuracy on test data
Analytics Tableau SQL
Airbnb Sales Insights: Seattle
View on GitHub Live Dashboard
  • Analyzed 3,800+ Seattle Airbnb listings in Tableau
  • Identified optimal rental periods and price-per-bedroom patterns
  • Mapped neighborhood demand clusters for occupancy optimization
📍 3,800+ listings analyzed
Analytics MySQL Power BI
AtliQ Sales Analysis
View on GitHub Live Dashboard
  • End-to-end sales analytics for a hardware company
  • Data exploration in MySQL with ETL transformations
  • Interactive Power BI dashboard: revenue trends, regional & customer insights
💡 Full SQL to Power BI pipeline
Analytics SQL Server
Data Exploration: COVID-19 using SQL
View on GitHub
  • Deep exploration of global COVID-19 dataset in SQL Server
  • Used joins, CTEs, window functions & aggregate queries
  • Surfaced mortality rates, vaccination rollout trends & country comparisons
🔍 Global dataset exploration with advanced SQL

Certifications

Slide 1 of 2  |  6 Certifications

Certificate of Completion: AI Fluency Framework & Foundations

Anthropic
Show credential
Skills: Artificial Intelligence (AI)

Google Data Analytics Professional Certificate

Google
Show credential
Skills: Data Analysis, SQL, Tableau, R

Data Analysis with Python

IBM
Show credential
Skills: Python, Pandas, Numpy, Data Visualization

SQL (Advanced) Certificate

HackerRank
Show credential
Skills: Advanced SQL

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)
Show credential
Skills: Cloud Computing, AWS Services

The Data Science of Healthcare, Medicine, and Public Health

LinkedIn
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Skills: Healthcare Analytics, Data Science

Open to conversations

Let's grab a virtual coffee

Whether you want to talk data analysis, debate SQL vs. NoSQL, geek out about LLMs & AI agents, or just swap notes on breaking into data - I'm genuinely curious and always up for a good chat.

📊 Analytics Engineering 🤖 AI & LLMs 🌿 dbt & Data Pipelines ⚡ SQL Optimization ☁️ Cloud Platforms 🧠 ML & Feature Engineering 📈 Business Intelligence 🔭 Emerging Tech
Request a Coffee Chat

// usually responds within 24h  ·  no agenda needed

Let's talk about your data challenges.

Open to entry-level Data Analyst, Analytics Engineer, and Data Scientist roles. Based in USA, open to remote and hybrid.

contactparthmaheshwari@gmail.com linkedin.com/in/maheshwariparth github.com/ParthM16