Portfolio Hub: Comprehensive data science portfolio showcasing machine learning, analytics, and business intelligence projects. This repository serves as the central hub directing to flagship repositories and hosting substantial projects across the data science spectrum.
With a background in business consulting and operations management, I bring a unique perspective that bridges technical implementation with strategic business impact. From production-ready deep learning models to large-scale analytics and business intelligence dashboards, this portfolio demonstrates systematic progression from foundational projects to enterprise-ready solutions.
🌐 Live Portfolio: mohitpammu.github.io/Projects
MIT Professional Education Applied Data Science Program (2025)
- Achieved ~90% accuracy with 38.6% parameter reduction through systematic experimental analysis
- Conducted comprehensive model complexity studies, learning rate optimization, and AutoML hyperparameter tuning
- Business Impact: Developed edge-compatible solution for resource-constrained deployment scenarios
Tech Stack: Python, TensorFlow, CNN Architecture, AutoML
🔗 View Repository
MIT Professional Education Applied Data Science Program (2025)
- Achieved ~82% accuracy using custom CNN architecture optimized for grayscale facial images
- Outperformed transfer learning models (VGG16, ResNet101, EfficientNetV2) through domain-specific optimization
- Business Impact: Production-ready solution for affective computing applications in healthcare, customer analytics, and human-computer interaction
Tech Stack: Python, TensorFlow, CNN, Computer Vision, Affective Computing
🔗 View Repository
Google Data Analytics Professional Program (2024)
- Analyzed 5M+ ride-sharing records to identify usage patterns between member segments
- Delivered targeted marketing strategy recommendations with user-specific promotions and membership ranking system
- Business Impact: Data-driven insights to optimize customer acquisition and retention strategies
Tech Stack: R, tidyverse, ggplot2, Statistical Analysis
🔗 View Project Details
Microsoft Power BI Certification Project (2024)
- Processed 6M+ HR data points to build comprehensive employee attrition analysis dashboard
- Implemented advanced DAX calculations and row-level security for multi-team access
- Business Impact: Enabled data-driven talent retention decisions and organizational restructuring insights
Tech Stack: Power BI, DAX, Data Modeling, Row-Level Security
🔗 View Project Details
Exploratory Data Analysis Project (2024)
- Comprehensive analysis of restaurant delivery data revealing customer behavior patterns
- Generated strategic recommendations for operational efficiency and revenue optimization
- Business Impact: Actionable insights for menu optimization, pricing strategy, and customer segmentation
Tech Stack: Python, Pandas, Matplotlib, Seaborn, Statistical Analysis
🔗 View Project Details
Languages & Frameworks
Specializations
• Machine Learning & Deep Learning • Business Analytics & Intelligence • Data Visualization & Reporting • Model Optimization & Deployment • Statistical Analysis & Experimentation
Tools & Platforms
• Power BI • Jupyter Notebooks • Git/GitHub • AutoML • Data Pipeline Development
Business Foundation: 3+ years in consulting and operations management, including leading a $50.3M healthcare billing project and managing $6M+ restaurant operations
Data Science Focus: Systematic approach to model development with emphasis on business impact, production readiness, and statistical rigor
Unique Value: Combines deep technical skills with real-world business experience to deliver data science solutions that drive measurable organizational outcomes
This portfolio demonstrates:
- Production-Ready Models: Focus on deployment considerations, computational efficiency, and real-world applicability
- Business Impact Orientation: Every project connects technical achievements to concrete business outcomes
- Systematic Methodology: Rigorous experimental design, statistical validation, and reproducible results
- Cross-Functional Communication: Clear documentation and visualization for both technical and business stakeholders
Interactive Elements
- Responsive design with dark/light mode toggle
- D3.js skills network visualization
- Project filtering by category
- Integrated contact form
Performance Optimized
- Mobile-friendly responsive layout
- Semantic HTML for improved SEO
- Modular code structure for maintainability
# Clone the repository
git clone https://github.com/MohitPammu/Projects.git
cd Projects
# Start local server
python -m http.server 8000
# View at http://localhost:8000Projects/
├── index.html # Main portfolio landing page
├── css/ # Styling files
├── js/ # Interactive elements (D3.js, etc.)
├── assets/ # Images, resources, data files
├── projects/
│ ├── EDA/ # Exploratory Data Analysis
│ │ ├── Cyclistic/ # Bikeshare analytics (R, Google Data Analytics)
│ │ │ └── cyclistic-google-data-analytics-capstone.html
│ │ └── FoodHub/ # Restaurant delivery analysis (Python, MIT)
│ │ └── MohitPammu-FDS_Project.html
│ └── BI & Visualization/ # Business Intelligence projects (Power BI)
│ ├── HR Data/ # HR analytics dashboard
│ ├── Netflix Content Analysis/ # Netflix data visualization
│ └── Sales Data/ # Sales performance dashboard
└── README.md # Portfolio hub documentation
Open to discussing data science opportunities, collaborative projects, or technical conversations.
📧 Email: mopammu@gmail.com
💼 LinkedIn: linkedin.com/in/mohitpammu
📍 Location: Laurel, MD (Washington DC Metro Area)
Building data science solutions that drive business impact
© 2025 Mohit Pammu