Mohammed Azeem

About Mohammed Azeem

Senior Data Scientist with 6+ years of experience delivering end-to-end analytics and data science solutions across industries including Finance, Retail, CPG/FMCG, and Supply Chain. Experienced in transforming complex business problems into actionable insights using machine learning, predictive analytics, and data visualization.Proficient in Python, SQL, Power BI, Tableau, Alteryx, Airflow, and Excel, with hands-on experience in Azure ML, GCP, and Databricks. Adept at applying statistical modeling, regression analysis, and automation pipelines to optimize processes and drive measurable business outcomes.Key accomplishments include performing payment diagnostics (P2P/O2C) and payroll analytics for operational efficiency, developing a predictive model to forecast supply for 6 quarter to ensure reliability of vendor commitments, global-scale Power BI dashboards, leading multi-million $ media mix modeling for budget optimization, and integrating Google Ads and DV360 data pipelines with BigQuery.My foundation in manufacturing and lean operations at Toyota combined with my consulting experience enables me to bridge the gap between data and strategy. Currently expanding expertise in MLOps, Docker, and Generative AI (LLMs, RAG, LangChain & Agentic AI) to build scalable, AI-driven business solutions.Passionate about solving business challenges through data and collaborating with cross-functional teams to create data-driven, impactful decisions.

Experience

1. Staff Accountant Consultant

   KPMG India

   Jan 2025 — Present · Bengaluru, IN

   Led Payment Diagnostics across P-Card transactions data, vendor payments, & P2P/O2C data of a manufacturing client, applying rule-based anomaly detection models to uncover high-risk transactions, patterns, control gaps and potential compliance risks • Performed Expense & Reimbursement Audits for a healthcare client, automating anomaly detection and duplicate expense identification using Alteryx • Delivered Payroll & Time Capture Analytics (HRIS) across 1,193 employees for a healthcare client, detecting anomalies in hours charged, rates, time-off and statutory balances, driving significant improvement in payroll accuracy and compliance with labor regulations • Supported business development by reviewing RFP documentation, developed a 30-page proposal outlining technical scope, pricing, evaluation criteria, and questionnaire for clarification. Proposed solution framework using Power BI, SQL Server etc. enhancing KPMG’s bid quality & strategic positioning

Education

• Udacity

  Nano Degree, Machine Learning Engineer with Microsoft Azure

  2020 — 2020

• New Horizon College of Engineering

  Bachelor of Engineering - BE, Mechanical Engineering

  2014 — 2018

• Chaitanya junior college.

  Intermediate (Senior Secondary), science

  2011 — 2013

• Kendriya Vidyalaya

  High School, SCIENCE

  2001 — 2011