Muhammad Kumail
Manager Data & Analytics @WPP Media - Unilever | Web3.0 | Metaverse based in Karachi, Pakistan. Transforming complex data into actionable business insights.
Professional Summary
I am a Hybrid Manager – Data Analytics & Automation Engineer with 3+ years of experience building BI dashboards, automated ETL pipelines, and AI/ML models. I specialize in integrating multi-source marketing and conversion data from Meta, Google, TikTok, and GA4 into unified real-time analytics systems, delivering measurable impact such as +20% campaign ROI, 40% reporting automation, and +15% forecasting accuracy. My technical expertise spans Python, SQL, Power BI, Flask/FastAPI, and API integrations for enterprise data solutions. Currently pursuing an M.S. in Data Science with focus on LLMs, RAG, and fine-tuning to embed AI-driven intelligence into business dashboards.
CORE EXPERTISE
Technical Skillset
Development
Python for data analysis and Flask framework for scalable web applications.
AI & Machine Learning
Predictive modeling, LLMs, RAG techniques, and Digital Image Processing.
Data Engineering
Document loading, splitting, vectors, embeddings, and MySQL database administration.
Impact at WPP Media
Leading Data Analytics and Automation since September 2022, delivering transformative solutions for global brands like Unilever.
90%
Setup Time Reduction
Engineered RPA solutions to automate digital ad campaign setups across Meta, Google, and TikTok.
20%
Tracking Accuracy
Designed multi-source Power BI dashboards integrating major ad platform APIs.
15%
Forecasting Lift
Developed SARIMAX-based forecasting model for TV channel performance to guide media mix decisions.
Automation & Efficiency
Real-time Reporting
Developed real-time reporting with automated Adverity platform APIs, GA4 integration, and efficient data pipelines, cutting manual work by 40% and enabling rapid business insights.
ETL Workflows
Processed 3M+ rows from Excel to MySQL with automated validation, cutting errors by 25%.
Resource Utilization
Built a Flask-based spot allocation system used by 20+ users, reducing errors by 70%.
Career Journey
1
WPP Media (Unilever Account)
Manager Data Analytics & Automation (2022 - Present)
2
LetsGrowMore
Data Science Intern (2022)
3
ConceptRecall
Web Developer & Intern (2018)
4
MRMSoft Inc.
Frontend Web Developer (2018)
Skills
  • Python
  • SQL
  • Power BI
  • Digital Ads Data Analysis (Meta, Google, TikTok)
  • Data Modeling
  • API Integrations
  • Flask / Django
  • GA4
  • Robotics Process Automation (RPA)
  • Time Series Forecasting
  • LLM's / RAG
  • Fine Tuning
  • Azure
Educational Foundation
National University (FAST-NUCES)
Master's degree, Data Science (Sept 2024 - Present)
  • Machine Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Thesis
Mohammad Ali Jinnah University
Bachelor's degree, Computer Science (2018 - 2022)
  • Data Structures
  • DBMS
  • AI
  • Software Development
Certifications
BUILD A CHATBOT USING LANGCHAIN
Credential ID: 9203712
LANGCHAIN COURSE FOR BEGINNERS
Credential ID: 8926123
ANALYTICS WITH SQL AND PYTHON
Credential ID: 47925
PREDICTIVE MODELING AND ANALYTICS
Credential ID: 68453
PYTHON FOR MACHINE LEARNING
Credential ID: 10899
SQL FOR DATA SCIENCE
Credential ID: 40120
Projects
Data-Driven Insights for OTT Content Strategy (Netflix)
  • Used Spark Streaming and Python to analyze real-time signals (stock and news) and their relation to content performance; delivered stakeholder-ready insights in Power BI.
  • Tech: PySpark, Python, Power BI, APIs.
Autonomic Diagnosis System for Chest Radiographs
  • TensorFlow CNN to detect COVID-19, pneumonia, and TB from X-rays; deployed a Flask web app for real-time inference.
  • Tech: TensorFlow, Keras, Python, Flask.
Let's Connect
Interested in data-driven transformation, Web3.0, or AI-powered automation? Reach out to discuss how we can build the future together.
Phone
+923312344065
LinkedIn Profile
Made with