Abiodun G.

I am a Data Scientist with an Electrical Engineering degree and over five years of professional experience in using advanced machine learning techniques to create effective predictive and analytical models. My career is driven by a passion for developing end-to-end AI solutions that improve customer experience challenges, with a particular focus on Machine Learning , Natural Language Processing (NLP),, and Large Language Models (LLMs). Throughout my career, I have collaborated with high-profile clients such as Microsoft and Snowflake, developing AI-driven solutions across the financial, marketing and electrical domain . My certifications include Data Presentation ,Machine Learning, and NLP Specializations from Datacamp. My work includes designing and deploying solutions using Large Language Models like GPT-4, GPT-3.5, GPT-4o-mini and ollama .I have hands-on experience in building and deploying Generative AI and Retrieval Augmented Generation (RAG) applications. Qualifications: ✅I have a bachelor's in Electronic and Electrical Engineering from University of Bradford. I have worked with High Profile Clients in my Career, including : ✅Microsoft ✅Snowflake ✅Kipi.bi ✅Terragon ✅Sterling Bank I have numerous certifications from top Data Institutes : ✅ Associate Data Scientist Provided by Datacamp ✅ Data Scientist Professional Provided by Datacamp My proficiency includes accurate data annotation for : ✅ AI Model training ✅ Object detection and tracking in images, working with diverse datasets. I am adept at utilizing popular annotation tools such as: ✅ Labelbox ✅ LabelImg ✅ Labelstudio Coding Language and Machine Learning Framework skillset: ✅ Proficient in Python ✅ Proficient in SQL ✅ Proficient in Tableau ✅ Proficient in PowerBI ✅ Proficient in Tensorflow ✅ Proficient in Keras ✅ Proficient in Pytorch ✅ Proficient in Numpy ✅ Proficient in Pandas ✅ Proficient in Seaborn ✅ Proficient in Matplotlib ✅ Proficient in Spacy (NLP) ✅ Proficient in NLTK (NLP) What I can do for you: ✅ Statistical modelling ✅ Predictive Modeling techniques ✅ Linear Regression ✅ Logistic Regression ✅ A/B Testing ✅ Decision Trees ✅ Random Forest ✅ Gradient Boosting (GBM) ✅ K-Nearest Neighbour (KNN) ✅ Support Vector Machine (SVM) ✅ Naive Bayes Classifier ✅ K-means Clustering ✅ Neural Networks ✅ Natural Language Processing (NLP) ✅ Image Processing ✅ Recommender Systems I am a fast learner , and keen on details. I can work any internal tools you would like. I hope you will consider me and I hope we can do great work together.