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Work Experience

Work
Experience

2024 - Present

Haleon
Senior Data Analyst | Middle East and Africa

Driving advanced analytics, AI solutions, and data-driven strategies to optimize multi-channel engagement and decision-making across Middle East & Africa markets.

Key Contributions & Projects:
• Salesforce Analytics & Power BI Dashboards: Designed and deployed real-time dashboards for leadership, integrating KPIs and actionable insights to improve visibility and accelerate decisions by 40%.
• Data Engineering & ETL: Built robust pipelines using Python (Databricks), PySpark, and SQL, ensuring accurate KPI tracking across digital and direct channels.
• AI & Predictive Modeling: Developed LSTM sequence models (TensorFlow/Keras) to predict next-best HCP engagement, boosting personalization and engagement rates by 20%.
• Advanced Analytics: Created multi-channel engagement scoring systems and call effectiveness models using Python, Pandas, Matplotlib, and Seaborn to extract actionable insights.

Business Impact:
• Increased HCP recommendations from 90% → 130% of target
• Improved engagement from 50% → 70%
• Boosted weekly recommendation uplift from 37% → 44%

2022 - 2024

Delivered data-driven insights and analytics solutions to optimize category performance, profitability, and campaign planning across e-commerce operations.

Key Contributions & Projects:

• Category Dashboards: Created and automated SQL + Power BI + Excel dashboards to monitor KPIs including GMV, NMV, orders, items, buyers, conversion rates, cancellations, unique visitors, assortment, add-to-carts, and click-through rates. Enabled daily monitoring and actionable insights, consistently surpassing performance targets.

• Supply Battle Project: Developed complex SQL queries to analyze demand across categories and price cohorts. Identified high-demand, low-assortment products, enabling targeted seller onboarding. Achieved 50% YoY growth for these categories.

• Profitability Project: Extracted and analyzed revenue margins, costs, and subsidies using SQL. Optimized logistics costs by adjusting weights/dimensions and minimizing shipping subsidies. Improved profitability margins from 7% → 9%.

• 11.11 Campaign Planning: Conducted demand forecasting and SKU inbounding planning to ensure optimal assortment and stock levels. Built dashboards to monitor mega deals and hot deals daily/hourly. Enabled 50% campaign growth through timely deal replacements.

Education

2018 - 2022

Institute of Business Administration Karachi | Bachelor’s Degree

GPA 3.2

2015 - 2017

Garrison Cadet College Kohat
Pre Engineering

88%

Skills
& Expertise

  • SQL

  • PYTHON

  • MACHINE LEARNING

  • POWER BI

  • EXCEL

  • DATA CLEANING

  • DATA ANALYSIS

  • AUTOMATION

  • DASHBOARDS

  • DATA MODELING

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