A Systematic Approach to Growth
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Think of me as your technical problem solver. I dive in and use Python, Java, and advanced analytics to engineer solutions. I'll focus on strategic testing and modeling to make sure every part of your business gets a measurable, reliable boost in performance.
Project Summary: E-commerce Performance Optimization with Power BI
Quantifiable Outcomes:
25% Improvement in advertising Return on Investment due to refined audience targeting.
Significantly reduced manual data processing time through automated reporting.
Established a foundation for informed, data-driven decisions and continuous performance improvement.
Project Summary: Excel Data Cleaning & Analysis for Global Sourcing
Challenge: Transforming Fragmented Global Sourcing Data into a Decision Engine
Technical Solution & Expertise:
Data Cleanup: Normalized units (LB/KG), removed inconsistencies, and applied structured financial formatting.
Advanced Modeling: Engineered a decision ready model using complex logic, including VLOOKUP, SUMPRODUCT, IFERROR, and CAGR calculations.
Interactive Reporting: Developed user friendly dashboards powered by Pivot Tables and Slicers.
Challenge: The client's sales data was spread across multiple, disparate platforms (Amazon & Shopify). The raw data was inconsistent and required extensive cleaning and transformation before it could be analyzed.
Disclosure of any past or current project is strictly dependent upon receiving the client's prior written consent.
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Applied Analytics
Quantitative Analysis & Optimization
Project Summary: Quantative PPC Strategy & Optimization
Objective: Maximizing ROI and Scaling Revenue with Efficient Ad Spend
Project Summary: Master Data Creation and Preprocessing for Analysis
Technical Solution & Expertise:
Strategic Targeting: Focused ad spend by identifying and leveraging long-tail keywords for superior search ranking and high-intent traffic.
Creative Diversification: Boosted customer engagement and conversions through the successful implementation of Video Ad Campaigns.
Performance Optimization: Employed daily monitoring and optimization, including closing campaigns with poor conversion rates to maintain a 14% ACoS.
Backend & Frontend Fine Tuning: Increased Click-Through Rates by enhancing the main product image and fine tuning backend campaign settings for maximum effectiveness.
Visibility Strategy: Utilized VCPM campaigns with a conversion focused approach to guarantee visibility and impact.
Challenge: Integrating Fragmented Energy and Weather Datasets Across Multiple Locations
Technical Solution & Expertise:
Static Data Integration: Initiated the process by reading the static house data (CSV) and extracting a vector of unique building IDs.
Static Data Integration: Initiated the process by reading the static house data (CSV) and extracting a vector of unique building IDs.
Targeted Data Extraction (Weather): Applied the same methodology to the weather data, using county IDs to extract and merge data for all relevant counties into a unified weather dataframe.
Result: Creation of a Clean, Integrated Master Dataset for Comprehensive Energy Consumption and Weather Analysis.
Disclosure of any past or current project is strictly dependent upon receiving the client's prior written consent.
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