Anan Javed Mohammad
Senior Data Consultant, Mergers & Acquisitions Analytics @Deloitte
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WORK HISTORY
Senior Data Consultant, Mergers & Acquisitions Analytics @Deloitte
Toronto, ON, CA
I design and deliver analytics and data solutions to support M&A due diligence and post-merger decision-making, partnering closely with deal teams and client stakeholders under compressed timelines.Key contributions and impact:Designed and delivered a cloud-based analytics architecture unifying payroll, appointment, and general ledger data to support multi-level profitability analysis for a healthcare franchise.Led the solution design for a Tableau based internal due-diligence tool, automating financial ingestion, synergy forecasting, portfolio modeling and geospatial analysis for executive decision-making.Translated ambiguous, high-stakes business questions into scalable analytics solutions, balancing speed, accuracy, and practicality in deal environments.Acted as a trusted client-facing advisor, presenting insights and solution trade-offs to senior stakeholders and supporting data-driven investment decisions.Collaborated with cross-functional teams to ensure solutions were production-ready, explainable, and aligned to client operating models.
EDUCATION
BrainStation
Data Science
Smith School of Business at Queen's University
Masters of Management Analytics
University of Toronto
Bachelors of Engineering, Process Engineering
ABOUT ANAN JAVED MOHAMMAD
I’m a Senior Consultant in Data & Analytics at Deloitte, specializing in M&A analytics and post-merger integrations, where I design and deliver scalable, cloud-native analytics platforms that support high-stakes, time-critical decision-making.Backed by a Master of Management in Analytics from Queen’s University and certifications as a Google Professional Cloud Architect and Google Generative AI Leader, I work at the intersection of cloud architecture, data engineering, machine learning, and analytics strategy. My recent engagements include deploying predictive and ML-driven solutions that improve integration velocity, insight quality, and executive confidence during deal transformations.Previously, at The Home Depot Canada, I focused on marketing analytics and customer intelligence, contributing to a 540-basis-point improvement in ROAS through predictive modeling and targeted campaign optimization. I also supported media mix modeling initiatives and production machine learning deployments on Google Cloud Platform, helping establish scalable, analytics-driven decision frameworks in a large retail environment.I’m particularly interested in designing secure, cost-effective cloud architectures, enabling enterprise analytics and AI transformation, and supporting the responsible adoption of generative AI. I enjoy translating complex business problems into resilient technical solutions that create measurable impact.
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