Muhammad Hamza Nasir

About Muhammad Hamza Nasir

4+ years of Industry experience in machine learning and data analytics. 2+ years of Academia experience in machine learning and deep learning. Skilled in Python, Machine Learning, Power BI, Tensorflow and AWS. Strong data-driven professional with a Master’s Degree focused in Data Science. I have worked extensively on NLP, Time series, Fraud detection and risk models. Skilled in many deep learning techniques like Transformers, LSTM, RNNs, CNN. Experienced Analytics expert with a demonstrated history of working in the Gaming and the Fintech industry.

Experience

1. Sr Data Analyst

   Experis

   Dec 2024 — Present · NY, US

   Developed enterprise Power BI dashboards connected to SSMS/SharePoint staffing and telemetry data for gaming clients (Microsoft, Meta, Amazon, Pokémon), delivering actionable insights to program directors and test leads. Developed a Text-to-SQL agent in Azure AI Foundry by fine-tuning the LLM with custom prompts, integrating RAG workflows, and boosting accuracy by 30%. Created a dashboard to verify consultant billing and pay rates, reducing discrepancies from 15% to 4% and earning strong stakeholder praise. Built a project performance dashboard for the Amazon program by combining internal staffing data with in game telemetry from Amazon Redshift clusters; calculated KPIs like bug find rate, quality rate, and exploration coverage to surface team efficiency gaps and optimize QA strategy. Reduced data errors by 80% through the development of a data integrity and baseline aggregation report, which identified inconsistencies across key source tables. Developed Power BI reports with Row-Level Security (RLS) for the employee appraisal process, ensuring confidential access for individuals and their direct managers during performance evaluations. Created stakeholder usage reports by integrating Power BI REST API to analyze report consumption across workspaces, driving adoption and surfacing engagement insights not available through built-in features.

Education

• National University of Sciences and Technology (NUST)

  BS, Electrical Engineering

  2019

• Saint Mary's Academy, Rawalpindi

  GCE Advanced Levels

  2014

• Information Technology University

  MS, Data Science