Mohammad Fahad Anwar

About Mohammad Fahad Anwar

With over 9 years of experience at leading organizations like MongoDB and Deloitte, I specialize in architecting AI-ready analytics solutions and scalable data frameworks. My expertise spans the end-to-end data lifecycle—from engineering ETL/ELT pipelines in AWS Redshift and dbt to deploying advanced Machine Learning models (GradientBoost, Regression) and automated Tableau/Power BI intelligence suites. I have a proven track record of delivering measurable excellence, including a 40% lift in engagement through intuitive Dashboards, 85% ARR forecast accuracy, and a 75% reduction in manufacturing defects via real-time analytics.I am a strategic collaborator with extensive experience leading cross-functional initiatives across EMEA, APAC, and AMER regions, ensuring data products are intuitive and positioned for Generative AI (GenAI) integration. My methodology prioritizes data governance (GDPR compliance) and self-service adoption, fostering alignment between Product, Engineering, and Executive leadership. I am passionate about building resilient architectures that transition organizations from descriptive to prescriptive analytics, consistently enhancing data accessibility to achieve high-stakes global business objectives.

Experience

1. Analytics Manager (Marketing)

   MongoDB

   Nov 2023 — Present · Gurugram, IN

   Leading the entire regional marketing analytics lifecycle, transforming raw data into strategic assets through the design of advanced data models, comprehensive reporting, and user-friendly dashboards. Drive initiatives through seamless cross-cultural collaboration with international teams across Dublin, Singapore, and Brazil. Act as an integral strategic partner to leadership, leveraging dashboard insights and deep analysis to guide data-driven decisions that met Key Marketing objectives.Spearheaded the development of holistic marketing measurement frameworks (Tableau, SQL, Python) and statistical models, increasing data accuracy and engagement by 40% through advanced cross-channel integration.Attribution & Performance: Designed and deployed a Linear Attribution Model and an Influenced Attribution Dashboard (Tableau) to quantify marketing\'s impact across the customer journey. Executed comprehensive Conversion Lift studies and Media Mix Modeling using Python to provide statistically significant insights and optimize marketing spend (Google Analytics, Amplitude, Segment).Strategic Forecasting & Alignment: Developed and successfully implemented an Annual Recurring Revenue (ARR) forecast model using Python (Pandas, NumPy, Scikit-Learn), providing critical predictive insights for strategic planning. Led cross-functional efforts (Marketing, Sales, Product) to align KPIs with core business objectives.Framework & Insight Delivery: Created and maintained centralized data dictionaries (Alation, Github). Translated complex quantitative data into clear, strategic recommendations via executive-level dashboards (Tableau), providing critical analytical support to leadership.(Recognition: Marketing Operation Excellence Award for Revenue Forecast model and dashboard delivery).

Education

• Chandrasheel Vidyapeeth

  Senior Secondary Education, Science

  2010 — 2012

• Asian Institute of Technology

  Internship, Industrial Engineering

  2015 — 2015

• Birla Institute of Technology and Science, Pilani

  Master of Science - MS, Data Science and AI

• MODERN PUBLIC SCHOOL

  MATRICULATION, Secondary Education

  2006 — 2010

• JIS University

  Bachelor of Technology (B.Tech.), Mechanical Engineering

  2012 — 2016

Skills

• Photography
• Research
• Customer Service
• Public Speaking
• Social Networking
• Time Management
• Leadership
• Teamwork
• Autocad
• Facebook
• Photoshop
• Powerpoint
• Microsoft Office
• Team Leadership