Technical Projects
AWS Marketing Analytics Platform
Full-StackAWS
React · TypeScript · Lambda · S3 · CloudFront · CDK
- Built standalone web application from scratch with serverless architecture serving 250+ users
- Modules: forecasting engine, goaling tool, automated commentary, GenAI capabilities
- Reduced manual processing time by 80-95%, saving 250+ employee hours annually
- Full CI/CD lifecycle: Git version control, CDK infrastructure-as-code, automated CloudFront deployments
FY26 Goaling & Target-Setting Tool
Data EngReact
Python · React · S3 · Parquet · CDK
- Interactive platform for $90B+ pipeline goal allocation used by VP-level leadership
- Python backend generating view-layer JSONs from 50K+ row datasets; 97-check contract validation suite
- Multi-tab architecture with dynamic filtering, pivot tables, and real-time S3-backed data pipeline
GenAI WBR Automation Engine
AI/MLGenAI
Amazon Q · Python · QuickSight · Bedrock
- Amazon Q-powered system automating executive insights; reduced WBR generation from 4-7 hrs to 15 min
- Leading GenAI Tiger Team scaling automated commentary across demand driver teams
- Authored the team's 5-phase Generative AI Roadmap adopted as the strategic AI framework
Mouliqe AI Consulting Platform
ConsultingPlatform
HTML5 · Tailwind · JS · Cloudflare Pages · GitHub CI/CD
- Custom-built site with interactive AI Architecture Configurator (63 pathways), 12 demo tools
- Data architecture consulting: MicroStrategy → Airbyte → Snowflake → Power BI
- SEO optimization with JSON-LD schema markup, automated booking system via Google Apps Script
Experience
Founder & AI Solutions Architect
- Independent consultancy designing data architecture and AI solutions for SMBs
- 6-stage delivery methodology: Discovery → Diagnosis → Blueprint → Build → Refine → Support
- End-to-end data pipelines: source extraction, cloud warehousing, BI dashboards, client portals
Senior Business Analyst — Engineering-scoped role
- Spearheading AI Rotation Program — MCP integrations for Kingpin, Slack, Asana, SharePoint
- RAG-based chatbot architecture (Bedrock, vector search) for CMO-level data access
- Managing full CI/CD lifecycle: Git, CDK, Lambda deployments, S3 pipelines, CloudFront distributions
- Built AWS Marketing Analytics Toolbox — production React/TypeScript/Lambda application
- Automated commentary dashboards in QuickSight; designed ETL pipelines across business units
- Created automated lead staggering system improving email performance by 35%
- Tableau/Marketo reporting infrastructure; data pipeline design and campaign analytics automation
Director of Digital Strategy
- Led 15-person team managing $350K/month paid media; built analytics frameworks for ROI optimization
- Reduced campaign targeting timelines by 70% through data-driven automation and process redesign
Earlier: Digital Marketing Manager at Affectiva Inc (AI startup) · Marketing Manager at KSmit Products
Key Metrics
80-95% reduction in processing time
250+ employee hours saved annually
95% faster report generation (4-7 hrs → 15 min)
35% improvement in email marketing performance
70% reduction in campaign targeting timelines
$90B+ pipeline goals managed through custom tooling
Skills
Languages
Python · TypeScript · JavaScript · SQL · HTML/CSS
Frontend
React · Tailwind CSS · Webpack · Responsive Design
AWS Services
Lambda · S3 · CloudFront · CDK · QuickSight · Amazon Q · Bedrock
Data Engineering
ETL Pipelines · Snowflake · Airbyte · Power BI · Tableau · Parquet
AI / ML
GenAI Applications · RAG · Prompt Engineering · Agentic Workflows · MCP
DevOps
Git · CI/CD · Serverless · Cloudflare Pages · GitHub Actions
Education
MBA
University of Connecticut — 2016
BBA
Khulna University — 2012
Recognition
GE Fellowship Award (2016)
Lincoln MBA Challenge — Runner-up
Full Scholarship, UConn
Languages
English (Fluent) · Bangla (Fluent) · Hindi (Spoken) · Urdu (Spoken)
Certifications
AWS AI Practitioner (In Progress)
AWS Cloud Practitioner (In Progress)
What I Build
Production web apps, data pipelines that replace spreadsheets, and AI systems with guardrails that leadership trusts. Business problem first, technology second.