Hello,
This is Dheeraj Pamnani,
Welcome to my digital universe.

Turning business problems into data-driven solutions with experience in Python, SQL, machine learning, and analytics.

Contact MeGet Resume
Profile = {
    'name': 'Dheeraj Pamnani',
    'skills': [
        'SQL & Databases', 'Python','Machine Learning & AI',
        'Data Visualization','ETL & Data Modeling',
        'Cloud Data Platforms'
    ],
    'hard_worker': True,
    'quick_learner': True,
    'problem_solver': True,
}

def is_hireable(Profile):
    return (
        Profile['hard_worker'] and
        Profile['quick_learner'] and
        Profile['problem_solver'] and
        len(Profile['skills']) >= 5
    )

Who I Am?

I’m Dheeraj Pamnani — a data storyteller and problem solver driven by curiosity. What began as building small automation scripts has grown into creating intelligent, data-driven systems that simplify decisions and spark business impact.

At Arizona State University, I’ve explored how analytics, AI, and machine learning can transform insights into outcomes — from training breast cancer detection models on HPC clusters to developing forecasting dashboards that guide real-world strategy. I thrive at the intersection of data and decision-making, where each model, metric, and visualization connects the dots between technology and human impact.

Open to: Data Science, Analytics, Business Intelligence, or other roles where data meets impact.

Dheeraj Pamnani
Education
Get Transcript
W.P. Carey School of Business, Arizona State University logo
🎓 MS – Business Analytics (Big Data Track)
4.0 GPA
W.P. Carey School of Business, Arizona State University
Tempe, AZ, USA — 2024 – 2025
Advanced analytics, machine learning, data engineering, and strategy. Capstone: Built a Power BI/Python financial forecasting dashboard. SCMA member.
Amity School of Engineering and Technology, Amity University logo
🎓 B.Tech – Computer Science & Engineering
Amity School of Engineering and Technology, Amity University
Noida, India — 2014 – 2018
First Division. AI Club member. Volunteered at Amity Youth Fest.

Projects

A selection of recent analytics, AI, and data engineering projects.

💡

Financial Forecasting Dashboard

MedAire, Inc.

Power BI, DAX, Python

Developed an interactive Power BI dashboard with advanced DAX to forecast contractual revenue, improving budgeting accuracy. Built forecasting pipelines in Python and evaluated Time Series, RNN, and Exponential Smoothing models, reducing RMSE by 50%. Enabled cross-functional teams to simulate scenarios with dynamic KPIs and sensitivity levers.

View on GitHub
💡

Wait Time Estimation for Campus Eateries

Arizona State University

YOLOv8, Regression, Python, OpenCV

Engineered a YOLOv8-based model to detect and count customers from video feeds, using spatial filtering to improve queue monitoring. Trained a regression (MLP) model on image-derived counts to estimate wait times, delivering high predictive correlation and actionable real-time analytics for campus dining.

View on GitHub
💡

ChatGPT Market Positioning & Segmentation

Arizona State University

Python, PCA, K-Means, Survey Analytics

Conducted a perceptual study and applied PCA to define ChatGPT's key positioning dimensions (99.8% variance explained). Segmented users via K-Means and delivered pricing recommendations for high-loyalty customer segments, driving strategy for targeted product development.

View on GitHub
💡

BERT Topic Modeling & Sentiment Analysis

Arizona State University

Python, BERTopic, UMAP, Deep Learning

Engineered a BERTopic model with UMAP on 100K+ Yelp tips to uncover 30 high-impact customer experience themes. Achieved 92% sentiment classification accuracy with deep learning, enabling actionable segmentation by cuisine, sentiment, and location for strategic business insights.

View on GitHub
Skills

Programming Languages & Tools

Python
98%
SQL
95%
Jupyter Notebooks
90%
JavaScript
87%
HTML5
85%
R
85%
VS Code
88%
Git
90%

Data Analytics & BI

Excel / Sheets
91%
Analytical Decision Modeling
90%
Quantitative Risk Management
88%
Tableau
92%
Power BI
85%
A/B Testing
85%
KPI Development
84%
Supply Chain
84%

Statistical Analysis

Statistics
90%
Exploratory Data Analysis
88%
Regression
87%
Time Series Analysis
85%
ANOVA
86%
Hypothesis Testing
85%

Machine Learning & AI

scikit-learn
90%
PyTorch / TensorFlow
86%
XGBoost
85%
Neural Networks
84%
NLP / Computer Vision
82%
Supervised / Unsupervised
87%
ML Lifecycle
84%

Database & Cloud

AWS (S3, RDS)
85%
Azure
82%
Snowflake
83%
ETL / Pipelines
84%
Databricks
80%
Data Warehousing
82%

Business & Collaboration

Agile / Scrum
80%
Project Management
80%
Microsoft Office
85%
DevOps
80%
Experience

Research Assistant – AI/ML & Data Science

Arizona State UniversityTempe, AZ, USA
  • Driving end-to-end AI/ML pipelines for breast-cancer detection using the VinDr mammography dataset
  • Perform large-scale EDA, data preprocessing, and model optimization with PyTorch, YOLO, and RetinaNet to improve lesion-detection accuracy
  • Collaborate with clinicians and research teams to translate model insights into clinically interpretable outcomes aligned with regulatory standards

Associate Data Scientist

Yocket (Avocation Educational Services)Mumbai, India
  • Built predictive models to forecast student enrollment and optimize marketing campaigns, improving targeting accuracy by 23%
  • Automated ETL pipelines in AWS + Databricks, cutting data latency by 40%
  • Leveraged SQL and Power BI for engagement analytics and collaborated cross-functionally to deploy ML-driven recommendations that boosted acquisition efficiency by 15%

Business Data Analyst

Azent Overseas Education LtdMumbai, India
  • Developed Power BI dashboards and SQL-driven reporting to monitor B2B partner performance, reducing manual reporting by 35%
  • Delivered insights that increased lead-conversion rates by 18% and improved forecasting accuracy by 25%
  • Supported strategic expansion through pricing and market-trend analysis, contributing to three new international partnerships

Business Development Analyst

Byju’s (Think and Learn Pvt Ltd)Mumbai, India
  • Analyzed over one million sales transactions to identify growth opportunities and optimize territory allocation, raising monthly revenue by 22%
  • Built Tableau dashboards to visualize regional performance and improve productivity tracking by 40%
  • Performed churn and cohort analyses to enhance retention strategies and supported leadership with data-driven performance reports

IT Analyst

NCR CorporationGurugram,India
  • Provided data and systems analysis for IT infrastructures across 50+ client sites, maintaining 99.5% uptime
  • Executed SQL-based data migrations and supported software deployments in Agile sprints, cutting defect-resolution time by 20%
  • Improved system documentation and security protocols, ensuring compliance and operational reliability
Contact

Send a message

Let’s work together!

Have a project or opportunity in mind? Reach out via email or connect on socials below.

dpamnani@asu.edu+1 602-807-9382
Based in Tempe, AZ (MST, UTC-7)