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ademicho123/README.md

Welcome to my profile page!

About Me

Highly motivated Data Scientist passionate about Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), Agentic AI, Predictive Modeling, and Retrieval Augmented Generation (RAG). Proven ability to build sophisticated AI chatbots and agents (including Microsoft Copilot-based projects) and leverage deep learning models (Keras, TensorFlow, Langchain). Proficient in Python libraries (NumPy, Pandas, spaCy, Scikit-Learn) for data science. Eager to contribute to advancing Predictive Modeling, Generative AI, NLP, autonomous AI agents, and RAG to deliver exceptional solutions in a commercial environment.

Experience

  • Data Science Bootcamp, HyperionDev, London, UK

I developed a sophisticated AI chatbot using ChatterBot, showcasing my proficiency in natural language processing (NLP) and enhancing conversational agent capabilities. I implemented sentiment analysis with the spaCy library, demonstrating my understanding of text processing and sentiment classification techniques. I designed and constructed an insurance model using regression models from scikit-learn, highlighting my ability to apply machine learning algorithms to real-world business problems. I acquired expertise in coding with Python and utilized various libraries crucial for data science, contributing to my solid foundation in data manipulation and analysis. I excelled in data visualization and storytelling, translating complex findings into clear and compelling narratives for diverse audiences.

  • Finance Specialist, Dancom Technologies Ltd, Lagos, Nigeria

Led and managed a team member, overseeing the accurate preparation, analysis, and presentation of financial and budgetary reports on a monthly, quarterly, and annual basis. Utilized Microsoft Power BI to showcase business performance metrics and conducted high-level variance analysis by comparing financial statements against forecasts. Applied data analysis techniques to identify gaps and transform complex information into detailed guides, contributing to improved decision-making processes within the organization.

  • Data Science/ML Fellow, Fellowship.AI

I contributed to the development of the ChatGPT Wealth Advisor solution, engaging in tasks from data collection to production and employing Agile methodology for project management and model development. In the process, I utilized the BeautifulSoup Python Library for effective data scraping and incorporated the latest research in deep learning, reinforcement learning, and generative adversarial networks.

Education

  • Master of Science in Data Science

    • Birkbeck, University of London, 2024
  • Master in Business Administration

    • Obafemi Awolowo University, 2014
  • BSc. Economics

    • Olabisi Onabanjo University, 2007

Key Skills

  • Data Science: Expertise in Python, Pandas, Numpy, Matplotlib, scikit-learn, NLTK and spaCy.
  • Machine Learning: Skilled in regression modeling and predictive analytics.
  • Natural Language Processing (NLP): Proven track record in developing AI chatbots and sentiment analysis applications.
  • Data Visualization: Excelled in translating complex findings into compelling narratives for diverse audiences.
  • Collaboration: Strong team player, adept at working with cross-functional teams.

Relevant Courses

  • Data Science Bootcamp, HyperionDev, London, UK
  • Kick-start Your Data Science Career, Lauchpad.AI
  • Deep Learning and Reinforcement Learning, IBM Skills Network
  • Explore a Career in Machine Learning Engineering, LinkedIn Learning
  • Python Data Analysis, LinkedIn Learning
  • SQL for Data Analysis, LinkedIn Learning

Projects

Explore some of my notable projects, including:

Feel free to explore my repositories and connect with me to discuss collaboration opportunities or share insights. Let's innovate and learn together! 🚀

Pinned Loading

  1. Customer_Churn_Prediction Customer_Churn_Prediction Public

    Customer Churn Prediction In this model, a predictive model was implemented with the help of machine learning to predict the possibility of a customer leaving the company.

    Jupyter Notebook

  2. Email_Spam_Detection Email_Spam_Detection Public

    Email spams are unsolicited messages sent in bulk by email (spamming). In most cases, spammers use this technique to scam his targets. In this project, I created a model that can detect email spam …

    Jupyter Notebook

  3. Insurance-Predictive-Model Insurance-Predictive-Model Public

    This repository contains code for a machine learning project that predicts insurance charges based on age using a linear regression model. The project utilizes the popular scikit-learn library for …

    Jupyter Notebook

  4. financial_sentiment_analysis financial_sentiment_analysis Public

    Jupyter Notebook

  5. Sentiment_Analysis Sentiment_Analysis Public

    In this challenge, I created a model that can perform sentimental analysis on IMDB movies dataset.

    Jupyter Notebook

  6. Simple-AI-Financial-Chatbot Simple-AI-Financial-Chatbot Public

    Python