Hi, I'm Pritom Bhowmik

Data Science | Data Analytics | Product Management | Artificial Intelligence
  • 🎓
    MS in Data Science (GPA 3.97) Expert in statistical analysis, predictive modeling, and data-driven decision-making with deep proficiency in uncovering user behavior patterns and identifying growth opportunities.
  • 📊
    Data Analytics & Experimentation A/B testing, funnel analytics, cohort analysis, KPI design, and instrumentation to guide product decisions and growth.
  • 🧠
    Data Science & ML Predictive modeling, time series forecasting, feature engineering, and model evaluation for business impact.
  • 🚀
    Product Management User research, roadmap planning, Agile delivery, and post-launch analytics to ship features that move metrics.
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Pritom Bhowmik

My Projects

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Agile Project - Overview Agile Project - Process Analysis Agile Project - Requirements Documentation Agile Project - System Design Agile Project - Implementation Agile Project - Results
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Sales Forecasting & Workforce Scheduling Platform (Product Management)

Led end-to-end product management of new internal features for Sales Forecasting and Workforce Scheduling platform. Managed complete product lifecycle from user research and analytics through feature development, launch strategy, and post-launch performance optimization, resulting in 40% improved operational efficiency for 500+ internal users.

Product Management Responsibilities

  • Conducted user analytics and research across 5 departments to identify feature requirements and pain points
  • Defined product roadmap and prioritized feature backlog based on user impact and business value
  • Led cross-functional product development teams through Agile methodology and sprint planning
  • Designed user experience workflows and collaborated with UX/UI teams on interface design
  • Managed product launch strategy including user training, change management, and rollout phases
  • Implemented post-launch analytics tracking user adoption, engagement metrics, and feature performance
Product Management User Analytics Product Roadmap Agile/Scrum Launch Strategy Performance Analytics
Product Management User Analytics Internal Platform
Sales Analytics - Main Dashboard Sales Analytics - Revenue Analysis Sales Analytics - Product Performance Sales Analytics - Customer Insights Sales Analytics - Market Trends
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Sales Analytics Dashboard (SQL & Power BI)

Comprehensive sales analytics platform providing deep insights into revenue performance, customer behavior, and market trends. Features interactive dashboards, predictive forecasting, and automated reporting capabilities that drive strategic business decisions.

Key Responsibilities

  • Designed and developed 5 interactive Power BI dashboards covering revenue, customer, and market analytics
  • Built automated ETL pipelines using SQL Server Integration Services for data processing
  • Implemented advanced DAX calculations for KPI tracking and trend analysis
  • Created predictive models for sales forecasting using Python and statistical analysis
  • Established data governance framework ensuring 98% data accuracy and consistency
  • Trained 15+ stakeholders on dashboard usage and data-driven decision making
Power BI SQL Server Python Advanced Analytics Data Visualization
Data Analytics Power BI Statistical Analysis
Multi-Agentic RAG System - Main Dashboard Multi-Agentic RAG System - Agent Architecture Multi-Agentic RAG System - Query Processing Multi-Agentic RAG System - Analytics Multi-Agentic RAG System - Integration
View Project GitHub

AI-Powered Multi-Agent RAG Chatbot for Pharmaceutical Supply Chain Operations

Engineered a groundbreaking multi-agent RAG chatbot integrating six specialized AI agents for pharmaceutical supply chain operations. Achieved 97% retrieval accuracy and 95% web integration success, improving decision-making efficiency by 40-60% for non-technical users.

Key Responsibilities

  • Architected and developed 6 specialized AI agents using LangChain and LangGraph frameworks
  • Implemented advanced RAG pipeline with vector database integration for pharmaceutical data retrieval
  • Built real-time web integration capabilities using API orchestration and data synchronization
  • Designed conversational AI interface with context-aware response generation using OpenAI models
  • Established automated testing framework achieving 97% retrieval accuracy across agent interactions
  • Created comprehensive documentation and training materials for non-technical users
RAG LangChain OpenAI LangGraph Vector Database Flask
Data Analytics AI Supply Chain
IntelliStock - Dashboard Overview IntelliStock - Demand Forecasting Models IntelliStock - Inventory Analytics IntelliStock - EOQ Optimization IntelliStock - Performance Metrics
View Project GitHub

IntelliStock: Intelligent Demand Forecasting & Inventory Optimization Platform

Advanced inventory optimization platform leveraging machine learning to improve demand forecasting accuracy and reduce inventory costs. Achieved 9.2% MAPE accuracy and 15% cost reduction through ensemble ML models, EOQ optimization, and automated retraining pipelines for a Fortune 1000 retail organization.

Key Responsibilities

  • Developed ensemble machine learning models using Prophet, ARIMA, and XGBoost for demand forecasting
  • Implemented Economic Order Quantity (EOQ) optimization algorithms reducing inventory costs by 15%
  • Built automated model retraining pipeline with performance monitoring and alerting systems
  • Designed interactive Streamlit dashboard for real-time inventory insights and decision support
  • Conducted time series analysis on 2+ years of historical sales data across 500+ SKUs
  • Collaborated with supply chain teams to validate model outputs and refine business logic
Python Prophet ARIMA XGBoost Time Series Analysis Streamlit
Data Analytics Supply Chain Statistical Analysis
Last Mile Delivery - Performance Dashboard Last Mile Delivery - Main Dashboard Last Mile Delivery - Route Planning Last Mile Delivery - Weather Analytics Last Mile Delivery - Analytics Overview
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Last Mile Delivery Optimization Platform with Weather-Adaptive Route Intelligence

ML-powered platform for optimizing delivery routes considering real-time data like traffic and weather conditions. Achieved 32% route optimization improvement, 25% cost reduction, and 28% time savings through dynamic routing and weather-adaptive intelligence for an e-commerce logistics provider.

Key Responsibilities

  • Developed ML-powered route optimization algorithms using TensorFlow and graph theory principles
  • Integrated Google Maps API and Weather API for real-time traffic and weather data processing
  • Built dynamic routing engine capable of adapting to changing conditions affecting 500+ vehicles
  • Created React-based dashboard for fleet managers with real-time route monitoring and analytics
  • Implemented A/B testing framework to validate optimization strategies and measure performance gains
  • Collaborated with logistics teams to understand operational constraints and business requirements
Python TensorFlow Google Maps API Weather API Route Optimization React
Data Analytics Supply Chain Statistical Analysis
Customer Churn - Main Dashboard Customer Churn - Analytics Overview Customer Churn - Predictive Models Customer Churn - Risk Assessment Customer Churn - Customer Segmentation Customer Churn - Retention Strategies Customer Churn - Performance Metrics Customer Churn - Feature Analysis Customer Churn - Business Impact
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Customer Churn Analytics: Service Call Data Analysis & Issue Resolution

Comprehensive analysis of customer service call data to identify and resolve recurring issues driving customer churn. Detailed examination of competitive pressures, service quality, contract terms, and unlimited data plan challenges delivers targeted strategies for enhancing customer retention and satisfaction in telecommunications.

Key Responsibilities

  • Analyzed 50,000+ customer service call records to identify primary churn drivers and patterns
  • Conducted statistical analysis of service quality issues, contract terms, and competitive factors
  • Developed comprehensive data visualizations using Python, Matplotlib, and Seaborn libraries
  • Created interactive Power BI dashboards for stakeholder reporting and decision support
  • Identified 4 primary churn categories and developed 8 strategic retention recommendations
  • Presented findings to executive leadership resulting in implementation of targeted retention programs
Python Data Analysis Customer Analytics Service Quality Power BI
Data Analytics Statistical Analysis

About Me

Expertise in Data Science, Data Analytics & Product Management

Data Science

I build predictive models and decision systems that drive measurable outcomes: time series forecasting, classification/regression, feature engineering, and rigorous model evaluation. Proficient with Python and R and strong foundations in statistics and experimentation.

Machine Learning Forecasting NLP Statistics

Data Analytics

I turn raw data into actionable insights: SQL analytics engineering, BI dashboards, KPI frameworks, and story-driven visualizations that enable fast, confident decisions across teams.

SQL Power BI Tableau Data Visualization

Product Management

I ship data-informed products end-to-end: user research, roadmap prioritization, Agile delivery, experimentation (A/B testing), and post-launch analytics to ensure features move business metrics.

Roadmapping A/B Testing Agile/Scrum Stakeholder Alignment

Skills & Technologies

Tools and technologies I use to deliver exceptional results

Data Science

Python
ML Ops (Basics)
Machine Learning
Time Series
Statistics
R

Data Analytics

SQL
Power BI
Tableau
KPI Design
Experimentation
Analytics Engineering

Product Management

Agile/Scrum
Roadmapping
Stakeholder Mgmt
A/B Testing
Post‑Launch Analytics
API / Integration

Let's Connect

Ready to collaborate on your next project

Parsippany, New Jersey
862-399-9031
bhowmik01dev@gmail.com
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