Moeez Khan
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Moeez Khan

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Islamabad, Pakistan

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Résumé

Jobs verified_user 0% verified
  • H
    DATA ANALYST INTERN
    Handyman Engineering
    Oct 2024 - Mar 2025 (6 months)
    • Built Power BI dashboards and SQL queries to optimize decision-making (↑20% efficiency) • Developed predictive models with Python (XGBoost), improving inventory management • Uncovered insights that led to a 15% rise in cross-selling
  • E
    DATA ANALYST
    Eynvision
    Jul 2024 - Current (11 months)
    • Analyzed user behavior, reducing bounce rate by 22% and boosting session time by 15% • Created Power BI dashboards, cutting reporting time by 40% • Increased conversion rates by 18% through A/B testing and data-driven UI enhancements
  • F
    TECHNICAL HEAD DATA SCIENCE
    FAST DATA SCIENCE SOCIETY
    Aug 2023 - Jul 2024 (1 year)
    • Led a team of 5 analysts in developing a recommendation system using collaborative filtering, increasing event participation by 25% • Conducted workshops on data analysis and visualization techniques for 50+ society members • Mentored junior data analysts in SQL query optimization and statistical analysis techniques
Education verified_user 0% verified
  • I
    INTRO TO POWER BI
    Jan 2024 - May 2025 (1 year 5 months)
  • D
    DATA ANALYSIS AND VISUALIZATION
    Jan 2024 - Jun 2024 (6 months)
  • F
    BS. DATA science
    FASTNATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES
    Jan 2021 - Jan 2025 (4 years 1 month)
Projects verified_user 0% verified
  • F
    Text Data Analysis and Visualization
    Fast universal project
    Apr 2025 - May 2025 (2 months)
    Processed 100K+ text documents using NER and NLP, achieving 95% accuracy. Created interactive D3.js visualizations with advanced usability features, enhancing data exploration and stakeholder engagement
  • S
    Sales Performance Analytics Dashboard
    Jan 2025 - Feb 2025 (2 months)
    Developed a full-stack sales analytics solution using PostgreSQL, Python, and Power BI. Automated ETL pipelines cut manual reporting by 80%, while DAX-driven dashboards delivered actionable, drill-down insights for sales teams.
  • R
    Real-Time Data Warehouse with MESHJOIN
    Oct 2024 - Nov 2024 (2 months)
    Built a near-real-time data warehouse for METRO using the MESHJOIN algorithm. Streamlined ETL processes improved latency by 40% and reporting efficiency through optimized SQL/Python workflows.
  • Confident LIMS
    Customer Segmentation and Churn Analysis
    Confident LIMS
    May 2023 - Jun 2023 (2 months)
    Used Python (Pandas, Scikit-learn) to segment customers and build churn prediction models with 87% accuracy. Insights led to marketing actions that reduced churn by 12%.