Data Analyst Power Bi

Azan Memon

773-***-**** *********.**@*****.*** linkedin.com/in/azan-memon github.com/azan-memon Experience

Data Analyst Feb 2025 – Present

Extreme Branding Chicago, IL

• Collaborated with cross-functional teams to gather and analyze business requirements, developing data-driven insights and dashboards using SQL and Python to support decision-making. Data Analyst Apr 2022 – Jul 2023

Uber Company (Careem)

• Drove strategic planning and data-informed decisions within the FP&A department, providing critical analyses on key performance indicators influencing a 15% increase in quarterly revenue growth.

• Led the optimization of the ETL pipeline, improving data quality, operational efficiency and availability from 90% to 98% by developing Python and SQL scripts.

• Conceptualized five interactive dashboards using SQL, Power BI, and Tableau to track user behavior through KPI across three distinct product lines; improved cross-product usage by 15% within six months.

• Created financial models through Excel and SQL creating organizational strategy and goals, reducing the EBITDA burn by USD 500,000 in collaboration with management, product, brand, finance, and operations.

• Identified loopholes in the transaction processes through data analytics to avoid fraudulent transactions, resulting in over USD 15,000 per month efficiencies.

• Initiated and led a technology and product knowledge drive, increasing product understanding within the department through information sessions and driving process improvement.

• Designed 10+ stakeholder-ready reports and strategic presentations using PowerPoint and Google Slides for executive leadership to inform business decisions. Research Analyst Jul 2021 – Apr 2022

Intermarket Securities Limited

• Advised portfolio managers and investors by researching stocks across glass, petrochemicals and packaging industries with 30% or above potential upsides.

• Developed financial models and reports using stock valuation techniques for portfolio managers, enhancing the returns by over 25% on investment.

• Engineered three interactive dashboards on Power BI and Excel based on management requirements to visualize KPI’s, facilitating quick insights and decision-making for investors. Technical Skills

Languages: Python, SQL, R Programming, Tableau, Power BI, Excel Frameworks: Random Forest, K-Means CNN, RNN, LSTM, Scikit-learn, Tensor Flow, PyTorch, Scrapy Business: Strategy Development, Financial Modelling, Cost Budgeting, Research, Marketing analysis Education

University of Illinois Chicago Chicago, IL

Master of Science in Business Analytics - CGPA: 4.0 Aug 2023 - Dec 2024 Institute of Business Administration Karachi, PK

Bachelor of Business Administration - CGPA: 3.58 Aug 2017 - May 2021 CFA Institute — CFA® Program participant Completed Level 1 Feb 2021 Projects

RiseKit - Targeted Employment Support System Python, OpenAI, StreamLit Aug 2024 – Dec 2024

• Implemented an LLM-based system to analyze 8000 employee profiles and recommend personalized support services using OpenAI.

• Built an interactive interface using StreamLit for users to upload resumes to get automated recommendations.

• Automated RiseKit’s recommendation process, reducing man-hours by 90% and improving efficiency. UIC Deep Learning - Harmful Brain Activity Classifier Model Python, PyTorch Jan 2024 – May 2024

• Created an input preprocessing sequence in coordination with a team of two to standardize and transform image-based data into tensors through TensorFlow and PyTorch.

• Developed Convolutional Neural Networks using Python to achieve 86% correct predictions from EEGs, solving the multi-classification problem of Harmful Brain Activity.

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