Turning Data, Operations, and AI into Measurable Business Outcomes
Turning Data, Operations, and AI into Measurable Business Outcomes
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Hi, I'm Anupam Paul.
AI Solutions Architect | Data Strategist | Project Leader
Over the past 20+ years, I have evolved from Software Engineer to MIS Specialist, Operations & Workforce Management Leader, Data Analytics Manager, and AI & Automation Strategist. This journey has given me a unique ability to bridge technology, data, operations, and business strategy to solve complex challenges at scale.
Throughout my career, I have led analytics, workforce optimization, customer operations, and transformation initiatives across e-commerce, BPO, aviation, fintech, and digital businesses. My work has supported platforms processing millions of transactions and customer interactions, delivering outcomes such as improved customer retention, higher campaign conversion, enhanced forecasting accuracy, reduced operational costs, and significant productivity gains through analytics, automation, and AI-driven decision making.
Today, I help organizations unlock value from data, modernize decision-making, and embed AI into business operations in ways that are practical, scalable, and measurable. I believe successful transformation is never about technology alone—it is about aligning people, processes, data, and AI to create sustainable business impact.
📫 Let's connect: paul.anupam@gmail.com | LinkedIn
Featured Projects
Featured Projects
AI-Driven Social Media Automation System
Engineered an end-to-end automation pipeline that transforms multi-platform content management for growing brands.
Impact:
Reduced manual posting effort by 80%
Automated content delivery across 5 platforms (Instagram, Facebook, YouTube, X, TikTok)
Eliminated scheduling errors and missed deadlines
Technical Execution:
Integrated OpenAI for dynamic, platform-specific caption generation
Built centralized workflows using Make.com, Zapier, and Google Sheets
Designed scalable automation blueprint with automated logging and error tracking
Key Strength: Bridges AI technology, no-code automation tools, and real-world business needs to deliver measurable operational efficiency.
Criclytics – Agentic AI for Cricket Analytics
Criclytics is an AI-powered agent that delivers real-time cricket insights, player performance analysis, and match predictions by combining historical data with live feeds from ESPN Cricinfo, Cricbuzz, and the ICC.
Built using FlowiseAI and powered by the deepseek-r1 large language model, Criclytics analyzes team dynamics, evaluates individual players, and interprets match contexts—all through natural language queries. It transforms complex cricket statistics into accessible, interactive intelligence.
Tools Used:
FlowiseAI – Visual LLM workflow orchestration
deepseek-r1 – Advanced reasoning LLM
Web Scraping + API Integration – Live data from leading cricket platforms
As an innovative example of Agentic AI, Criclytics showcases the potential of domain-specific language agents in real-time sports intelligence.
👉 Scroll to the end of this page to test Criclytics in action.
Dashboard - Reporting KPIs for Customer Service
Designed to provide clear, near real-time insights into customer support performance, this dashboard tracks key metrics like response time, resolution rate, ticket volume, customer satisfaction SLA compliance and many others.
Tools Used:
Google Sheets – Custom dashboard with dynamic visuals
Apps Script – Automated data updates and alerts
BigQuery – Scalable data source
GCP Scheduler – Scheduled data feeds to Sheets
A lightweight, automated solution that empowers service teams with data-driven decision-making—without the complexity of enterprise BI tools.
Power BI Dashboard - Reporting Hotel Management KPIs
This Power BI dashboard provides a comprehensive overview of hotel performance metrics, enabling data-driven decision-making. It analyzes key indicators such as Total Revenue, Occupancy Rates, ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), and Customer Ratings, segmented by city, room type, and time period. Interactive visualizations showcase weekly trends, highlighting performance differences between business and luxury categories. Filters and tooltips empower users to drill into specific data, offering actionable insights into revenue trends, occupancy fluctuations, and operational efficiencies to optimize hotel management strategies effectively.
MAB High Level Project Schedule Rev 2 (20200729).pdfGantt Chart - A Project Plan
This Gantt chart outlines the high-level project plan for a client's project, spanning from November 2020 to April 2021. Key phases include project initiation, recruitment and training, quality documentation, and technology implementation. Tasks are organized with clear dependencies, milestones, and durations to ensure streamlined execution. Recruitment activities and technical setups are prioritized alongside project assessments and go-live preparations. Visual indicators, such as timelines, deadlines, and task progress, provide a comprehensive view of project flow and coordination, emphasizing strategic alignment and operational efficiency to meet project objectives successfully. .
Performance Data Analysis with Excel
This report presents a data-driven evaluation of call center performance across wireless and general support desks. Focusing on May–June 2020, the analysis covers key KPIs such as call volume variance, agent workload, SLA compliance, and productivity optimization.
Key insights include:
Significant spikes in inbound volume (up to 150%) across all channels
Random arrival patterns impacting agent occupancy and shift planning
Workforce forecasting using Erlang C modeling
Concurrency gaps and AHT variability in chat and email handling
The report guided workforce planning and operational decisions, highlighting the need for intelligent staffing models in high-variability support environments.
Requirement Analysis and Resource Planning
This resource planning file provides a comprehensive analysis of headcount metrics and workload distribution across multiple channels, including inbound and outbound calls, emails, social media, and white mail. Key insights include arrival patterns, effective work hours, and historical data trends to optimize workforce allocation. Separate summaries for customer service and other divisions highlight tailored headcount needs. The data visualizations and workload distribution trends aid in identifying peak periods and resource gaps. Historical comparisons and linear projections support strategic decision-making, ensuring efficient utilization of resources and adherence to service level (SLA) targets.
AI animated legendary Studio Ghibli style art.
Picture 1: Before a cricket match in Kuala Lumpur.
Picture 2: My two daughters, while visiting a garden in Cameron Highland.
AI Agents: Criclytics and Resume Assistant
AI Agents: Criclytics and Resume Assistant
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