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  • University of North Carolina at Charlotte
  • Charlotte, North Carolina

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tjomole/README.md

Hi, welcome to my page! 👋

  • My name is Adetunji Omole.
  • I am a recent M.S. in Data Science graduate.
  • I have professional experience in all the stages of data lifecycle, in the banking and financial services industry.
  • I am interested in AI and Machine Learning, and the intersection of digitization and regulation.
  • I would be happy to collaborate on any project within the scope of data science, fintech, legaltech, and business transformation.

Contact: [email protected] | [email protected] | [email protected]

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  1. Grayscale_Image_Colorization Grayscale_Image_Colorization Public

    This model, at its core, leverages PyTorch for computer vision application. The model uses Microsoft Common Objects in Context (COCO) dataset, the gold standard benchmark for evaluating the perform…

    Python

  2. Sentiment_Analysis_Reviews_Charlotte_NC_Restaurants Sentiment_Analysis_Reviews_Charlotte_NC_Restaurants Public

    Used Python (Tokenization, Stemming and WordCloud) to prepare and visualize reviews of Charlotte, NC restaurants. Developed LDA topic model and classified a 14,000+ text corpus into key topics/labe…

    Jupyter Notebook 1

  3. GenAI_FinancialReports_Interface_for_Analysts GenAI_FinancialReports_Interface_for_Analysts Public

    Developed Financial Reports (pdf) Interface for Analysts using , LangChain (deeplearning.ai), Gen AI (ChatGPT-4) to pull information from documents. “Dashboard” created with Gradio.

    Python 1

  4. CAS_Agent_Based_Modeling CAS_Agent_Based_Modeling Public

    A Complex Adaptive System - Agent-Based Model (implemented in NetLogo), that simulated and observed the systems-level impacts of the interactions between Banks and Depositors in a Banking Eco-system.

    Jupyter Notebook 1

  5. Charlotte_NC_Mecklenburg_County_Violent_Crimes_Visualization Charlotte_NC_Mecklenburg_County_Violent_Crimes_Visualization Public

    Analyzed data on Violent Crimes and Traffic Stops, highlighted geographic and demographic trends and proposed some possible cost effective solutions such as automation. The focus of the project was…

    Python