Abraham Owodunni

About

With a Master of Science in Business Analytics from Grand Canyon University, I have developed a robust career in data science and analytics. Currently, as a Data Scientist I at Gem Shade, I lead property sales analysis, leveraging Google Maps API and machine learning to enhance market insights and reduce investment risks. My work in automating data pipelines and developing predictive models has significantly improved data processing efficiency and property valuation accuracy. Previously, at DoorDash, I developed a machine learning model that increased SKU building accuracy to 90%, streamlining catalog processes. My role involved data cleaning, feature engineering, and mentoring team members. At P.F. Chang's, I improved data warehouse performance through SQL analysis and created impactful visualizations with Tableau. My expertise spans data analysis, machine learning, and AI applications, driving strategic decision-making and customer engagement across industries.

Experience

• Data Scientist I · Gem Shade12-01-2023

  Spearheading property sales analysis with Google Maps API, integrating distance metrics for enhanced market insights, addressing ethical home remodeling, and identifying lucrative US markets. Driving impactful decision-making through effective communication of findings using Tableau for reporting, revolutionizing business strategies. Innovating ML model engineering, achieving accuracy boost in ARV predictions, and implementing geospatial analysis for reduction in investment risks. Designing and implementing automated data pipelines using Python and SQL, increasing data processing efficiency by 30% and enabling real-time market trend analysis. Conducting in-depth customer segmentation analysis using clustering algorithms, resulting in tailored marketing strategies and a 20% improvement in customer engagement. Developing predictive models for property valuation, enhancing price prediction accuracy by 25% and supporting better investment decisions. Applying semantic search and vector databases to enhance property data management and analysis, resulting in a 40% improvement in data retrieval efficiency and a 30% increase in analysis accuracy. Creating custom Chatbots using LangChain and OpenAI API to enhance customer interaction and support, achieving a 25% reduction in response time and a 20% increase in customer satisfaction scores. Fine-tuning pre-trained models using PyTorch, Hugging Face, and parameter-efficient fine-tuning (PEFT) techniques to create AI applications tailored to real estate market needs, improving model accuracy by 35% and reducing training time by 50%.

• Data Analyst · DoorDash08-01-2022 – 10-01-2023

  Developed a Machine Learning model for building SKUs at DoorDash using barcodes (UPC), item names, sku_id, and the DoorDash Universal catalog. Technologies used included DataBricks, Python and OpenAI. Utilized various machine learning algorithms to improve model accuracy. Conducted recall and precision metric analysis, which significantly enhanced the model's performance, increasing accuracy from approximately 68% to 90%. Utilized data cleaning, feature engineering to improve model accuracy, and the inclusion of item sizes further enhanced the model's predictive capabilities. The model is now in use as a part of the catalog builder, streamlining and automating the process of building SKUs. Lead data cleaning and data upload process for merchant raw data to Snowflake, ensuring data accuracy and completeness. Collaborated with the catalog builder team/ML team to transform raw data into the standardized DoorDash item format, optimizing data quality and consistency. Proactively monitored the catalog health and worked with cross-functional teams to address any data-related issues promptly. Mentored and provided guidance to new team members in data analysis techniques and data handling best practices.

• Business/Data Analyst · P.F. Chang's05-01-2022 – 08-01-2022

  Conducted data analysis using SQL to identify inconsistencies in tables in the data warehouse. Rectified inconsistencies resulting in faster performance of the data warehouse. Created reports and visualizations using Tableau to effectively communicate findings to stakeholders. Assisted in data governance and data quality control.

Education

• Grand Canyon UniversityMaster of Science - MS, Business Analytics
• Loughborough University

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