Hire the Best Computer Scientists
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I’m a data scientist and machine learning engineer with a passion for solving complex problems using data. I have extensive experience in using Python for data analysis, visualization, web scraping, and machine learning. I can handle any type of data, from structured to unstructured, from text to images, from audio to video. I can also build chatbots that can interact with users on various social platforms. I’m proficient in using deep learning frameworks such as PyTorch and TensorFlow for natural language processing and computer vision tasks. I can design, train, and deploy neural networks and machine learning models that can perform tasks such as sentiment analysis, text summarization, machine translation, image classification, object detection, face recognition, and more. I’m always eager to learn new skills and technologies, and I’m always up for a challenge. I value quality, efficiency, and customer satisfaction. I can deliver your project on time and within your budget. If you’re looking for a reliable and professional data scientist and machine learning engineer, look no further. Let’s chat and discuss how I can help you achieve your goals. data science | machine learning | python | deep learning | pytorch | tensorflow | nlp | computer vision | neural networks | chatbots | sentiment analysis | text summarization | machine translation | image classification | object detection | face recognition

Highly motivated, accurate and experimental Data Scientist, adept at collecting, analyzing and interpreting large datasets. A great thinker and analyst eager to help improve the organization ascertain optimum operational efficiency, sustainability and profitability. Addition to my expertise is a vast knowledge in Health data analysis, long term experience in research and also a very good tutor in the fields of data science, Mathematics and Chemistry. Highlight of projects Web application using streamlit on Fibre street pole detection. Built a tweet classifier web app Lead a project on prediction of height of emulsion in FPSO Deployment of web app on Amazon EC2 Published work on Cadaveric study of the Prevalence of Mickel's diverticulum in Souther Nigeria.

I work at the intersection of Machine Learning, Econometrics, Statistics, and Predictive Modelling, helping clients turn real-world data into reliable analysis, meaningful insights, and models that support better decisions. My background combines Economics and hands-on data science, with published research applying statistical and econometric methods to real-world macroeconomic data, alongside production machine learning systems for forecasting, credit risk, and fraud detection. Here are some examples of what I have built: —CreditIQ: A loan default prediction system trained on 150,000 borrower records using XGBoost and ensemble modelling. It achieved an AUC-ROC of 0.844 and includes probability calibration, SHAP explainability, and business-cost threshold optimization. The system is deployed as an interactive application. —MacroSense: A U.S. economic forecasting system using Federal Reserve data to forecast GDP growth, inflation, and unemployment. The forecasting pipeline uses strict walk-forward validation across 25 years of economic data, achieving 88.9% directional accuracy for GDP forecasting. —Fraud Detection ML: An end-to-end fraud detection system built with XGBoost, MLflow, FastAPI, Docker, and monitoring. The system covers the complete workflow from model development and experiment tracking to API-based prediction and production monitoring. —Nigeria Macroeconomic Research: Research comparing traditional econometric approaches with machine learning for modelling Nigerian economic indicators, combining economic interpretation with statistical and predictive modelling. WHAT I CAN HELP YOU WITH — Machine Learning & Predictive Modelling Classification, regression, feature engineering, Random Forest, XGBoost, scikit-learn, model evaluation, explainability, and predictive modelling. — End-to-End ML & Deployment Streamlit, FastAPI, Docker, MLflow, model monitoring, and reproducible ML workflows. — Time-Series & Forecasting Economic forecasting, financial and business time series, model validation, forecasting evaluation, and leakage-free walk-forward testing. — Econometrics OLS, ARDL, time-series analysis, stationarity testing, model diagnostics, economic modelling, and quantitative research. — Statistical Analysis Descriptive statistics, exploratory data analysis, correlation analysis, hypothesis testing, regression analysis, statistical interpretation, and data-driven reporting. — Data Analysis Python, Pandas, NumPy, SQL, Excel, data cleaning, EDA, visualization, and working with messy real-world datasets. WHY WORK WITH ME? I don't believe good analysis is simply about producing a model or a table of statistical results. The goal is to understand what the data is saying, use the right methodology, validate the results properly, and communicate the findings clearly. My Economics and Econometrics background helps me understand the context behind quantitative data, while my Machine Learning experience allows me to build predictive systems when traditional approaches are not enough. Whether you need statistical analysis, econometric modelling, predictive modelling, forecasting, or an end-to-end machine learning system, I can help turn your data into something useful and defensible. — Core Skills: Machine Learning | Statistics | Econometrics | Predictive Modelling | Statistical Analysis | Data Analysis | Python | Pandas | NumPy | SQL | Excel | scikit-learn | XGBoost | Random Forest | Time Series | Forecasting | Regression | ARDL | OLS | SHAP | Fraud Detection | Credit Risk | MLflow | FastAPI | Docker | Streamlit | SPSS | Stata | R | Economic Analysis | Economics

Need a reliable data scientist who can turn messy data into valuable insights or build automation that saves hours of manual work? I help businesses design and deploy machine learning models, data pipelines, and intelligent automation that deliver measurable results. With over 5 years of experience in Python-based data solutions, I’ve worked on projects ranging from predictive analytics and computer vision to web scraping and document processing — helping clients cut down operational costs, improve accuracy, and make smarter decisions. 🔹 What I Can Do for You Build and train machine learning models (classification, regression, clustering, NLP) Develop computer vision systems using OpenCV, TensorFlow, or PyTorch Automate data collection via web scraping (BeautifulSoup, Selenium) Clean, transform, and visualize data using Pandas, NumPy, Power BI, or Excel Integrate ML models with APIs, dashboards, or business systems 🔹 My Process Understand your business goal and dataset Prototype and validate the solution Share progress transparently with regular updates Deliver a clean, well-documented solution you can deploy immediately 🔹 Tools & Technologies Python | Pandas | NumPy | Scikit-Learn | TensorFlow | OpenCV | Power BI | Selenium | SQL | Excel If you need a professional who combines technical depth with clear communication and reliability, let’s talk about your project. 📩 Send me a message today — I’ll respond with a clear action plan within 24 hours.

Machine Learning Engineer with solid expertise in Python programming, Artificial Neural Networks, Convolutional Neural Networks, Natural Language Processing, and Computer Vision. I work extensively with Large Language Models (LLMs), prompt engineering, and AI agents, combining deep learning techniques with real-world applications across vision and language. Passionate about building scalable, intelligent systems that bridge the gap between perception and reasoning.

As a dedicated and innovative Data Scientist, Machine Learning Engineer, and AI Specialist, I bring a wealth of expertise and a proven track record in developing and deploying state-of-the-art machine learning models and AI solutions. With a strong background in data analysis, predictive modeling, and AI-driven applications, I am committed to delivering high-quality, impactful results that drive business success. Technical Expertise: - Programming Languages: Python, C/C++ - Frameworks & Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Flask, Streamlit - Tools & Platforms: Jupyter, Git, Docker, Azure - Data Visualization: Matplotlib, Seaborn, Plotly - Database Management: SQL Other Skills: Data Collection, Data Cleaning, Feature Engineering, Model Evaluation, Hyperparameter Tuning, Deployment, web scrapping Notable Projects: AI-Driven Bird Health Detection System Developed a machine learning model that uses image analysis to detect the health status of birds from user-submitted images. This project involved data collection, preprocessing, model training, and deployment, achieving high accuracy and user satisfaction. Stock Price Forecasting with LSTM Created a long short-term memory (LSTM) model to forecast the stock prices of major companies. The model was trained on historical data from the yfinance library and deployed on Streamlit, allowing users to predict future prices and analyze trends interactively. Hotel Inquiry System with Generative AI Currently building a chatbot-based hotel inquiry system using generative AI and a comprehensive hotels dataset. The system will enable users to ask questions about room availability, prices, and other hotel-related information, providing quick and accurate responses.