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.

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    'hard_worker': True,
    'quick_learner': True,
    'problem_solver': True,
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        len(Profile['skills']) >= 5
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Who I Am?

Curiosity led me from coding small tools for everyday problems to building data-driven solutions for global teams. With experience spanning business analytics, machine learning, and research at Arizona State University, I thrive on turning complex challenges into actionable insights. My journey is about connecting the dots—one dataset at a time.

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

Dheeraj Pamnani
Education
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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, USA2024 – 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, India2014 – 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 for Breast Cancer Detection

Arizona State UniversityTempe, AZ, USA

  • Developing and optimizing deep‑learning object‑detection pipelines (like Faster R‑CNN, YOLO‑based architectures) for automated breast‑cancer screening on the VinDR Mammogram dataset, streamlining data preprocessing and training workflows
  • Collaborating with the team to annotate detailed tumor and lesion characteristics, enabling the creation of explainable‑AI models and rigorous side‑by‑side comparisons with traditional “black‑box” approaches

Data & BI Analyst – Revenue & Operations Strategy

Yocket (Avocation Educational Services)Mumbai, India

  • Developed SQL-powered Metabase dashboards to track potential premium users & performance metrics, raising revenue by 30%
  • Predicted staffing needs using sales KPIs in Python & Excel, aligning 15+ FTEs to boost output and add $200K/month in revenue
  • Automated lead flows employing CRM Automation; optimized workforce allocation, increasing lead to conversion rates by 1.5%

Business Intelligence Analyst – Partner Strategy

Azent Overseas Education LtdMumbai, India

  • Built Zoho Analytics dashboards, delivered weekly CEO reports, improved partner activation by 15%, and led predictive modeling on competitors’ data to onboard 500+ partners in 3 months
  • Led EDA on applications using Excel & Stats, evaluated product gaps & streamlined ops to raise partner activation by 15% MoM
  • Conducted predictive modeling on competitors' data to align B2B business strategy, onboarding 500+ consultants in 3 months

Sales Data Analyst – Customer Insights & Segmentation

Byju’s (Think and Learn Pvt Ltd)Mumbai, India

  • Conducted customer segmentation using K-Means clustering to optimize go-to-market strategy, uplifting conversion rates to 60%
  • Implemented SWOT analysis and SOP redesign to refine engagement & customer service, achieving a 90% student retention rate

IT Operations Analyst – Service Analytics

NCR CorporationGurugram,India

  • Created service data visualizations via ServiceNow analytics suite, boosting SLA tracking accuracy and reducing breaches by 15%
  • Designed custom reports and incident trend models for clients, improving IT helpdesk efficiency and limiting backlog to 5%
Contact

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Let’s work together!

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

Based in Tempe, AZ (MST, UTC-7)