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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

I'm a result driven AI Engineer and AI Automation Specialist with over 4 years of experience, specializing in machine learning, deep learning, data science, and computer vision. I leverage my cloud technologies and Python expertise for machine learning to deliver innovative solutions and drive tangible business results. I also specialize in transforming complex business challenges into intelligent, automated solutions using cutting-edge AI, APIs, and custom automation platforms. As a AI Automation Specialist with, I deliver production-ready automation systems that scale and perform. I have worked for companies such as UNCCON group of companies, Hayork, Clausecore and others building model like speech recognition, speech synthesis and translation model for local languages. also worked on NLP model to build health and chatbot for different niche such as health, FAQ, and other; Moreover, i worked on computer vision system for the first humanoid robot build by UNICCON group of companies and also for different use cases and different projects 💻 Core Expertise Areas 🤖 AI & Machine Learning Solutions ▪️AI Agent Development & Deployment ▪️AI Chatbot Creation (WhatsApp, Telegram, Website, SMS) ▪️Large Language Model (LLM) Integration ▪️Natural Language Processing & Computer Vision ▪️RAG (Retrieval Augmented Generation) Systems ▪️GPT-4, Claude, Gemini, and OpenAI API Integration ⚡ Automation & Workflow Optimization ▪️Zapier Premier Expert - Advanced Multi-Step Workflows ▪️n8n Automation Specialist - Complex Business Logic ▪️Make.com Expert - No-Code/Low-Code Solutions ▪️Custom Python Automation Scripts ▪️Business Process Automation & Optimization 🔗 API Integration & Development ▪️RESTful API Development & Integration ▪️GraphQL API Implementation ▪️Third-Party API Integration (HubSpot, Salesforce, Zoho, Stripe) ▪️Webhook Development & Management ▪️API Authentication & Security ▪️Real-time Data Synchronization I have worked extensively with a wide range of tools for machine learning and deep learning. - Programming & Frameworks: Python, PyTorch, TensorFlow, Keras, Scikit-learn - NLP & Speech: Hugging Face Transformers, NLTK, spaCy, DeepSpeech, Wav2Vec2.0, Tacotron2, FastSpeech, WaveGlow - Computer Vision: OpenCV, YOLOv5/YOLOv8, Faster R-CNN, Mask R-CNN, Roboflow - Data Handling & Analysis: SQL, PostgreSQL, Pandas, NumPy - Deployment & Integration: Streamlit, Flask, FastAPI, RShiny - MLOps & Cloud: MLflow, Docker, AWS (S3, EC2, SageMaker), Git/GitHub - Visualization & Reporting: Power BI, Tableau, Matplotlib, Seaborn These tools have supported my work on projects such as speech recognition, speech synthesis, translation for local languages, NLP-powered chatbots, and computer vision systems for robotics and other applications. I am eager to apply these skills to deliver innovative AI solutions. I welcome the opportunity to contribute my knowledge, collaborate with forward-thinking teams, and drive impactful projects that push the boundaries of technology.

I transform complex data into actionable insights that drive business decisions! My technical expertise includes Python, SQL, R, machine learning, statistical analysis, data visualization, and cloud-based data solutions. I enjoy solving challenging problems by combining analytical thinking with practical business understanding. I have built machine learning models for classification, regression, and forecasting. Cleaned, transformed, and analyzed large datasets. I developed dashboards using Power BI and Tableau to support data-driven decision-making. Automated data workflows to improve efficiency and reporting accuracy. Applied statistical techniques and A/B testing to evaluate business performance. What do I bring to your team? Customer-Centric Approach Prompt and effective communication to resolve issues and exceed customer expectations. Satisfactory customer engagement that fosters loyalty and retention. Responsibilities: Responding to product and service inquiries Resolving technical issues and escalations Providing product information and purchase assistance Documenting customer interactions Order tracking Order fulfilment Tools I have mastered: - Gorgias - Zendesk - Slack - Intercom - Hubspot - Zappier - Freshdesk - Google Suite - Zoho CRM - Intercom Great customer support equals happy customers which in turn equals loyal customers that breeds’ referrals. Let me be a part of your story! Send me a job invite :)

I am a Python Data Scientist with a proven track record of turning complex datasets into clear, actionable insights. My expertise covers the full data pipeline—data entry, cleaning, preprocessing, and advanced analytics—ensuring accuracy and efficiency at every stage. I specialize in data visualization using Tableau and Power BI, creating dashboards that not only look polished but also tell meaningful stories that drive decision‑making. On the analytical side, I am skilled in regression modeling, hypothesis testing, and clustering techniques such as K‑means, helping clients uncover patterns, segment audiences, and forecast outcomes with confidence. My workflow emphasizes tidy, reproducible code and scalable solutions, so projects remain efficient and adaptable over time. Clients value my team‑oriented mindset, attention to detail, and commitment to delivering high‑quality results. I approach every project with curiosity, precision, and a willingness to learn, ensuring that the solutions I provide are both technically sound and tailored to your unique goals. If you’re looking for a data professional who can bridge the gap between raw numbers and clear business insights, I’d be glad to collaborate on your next project.

I am a skilled Python developer, Data scientist, and Mathematician, with extensive experience in machine learning, writing, academic services, such as tutoring, proofreading, formatting (e.g., APA/MLA) and web technologies like HTML, React, Django, Angular and SQL. In addition to software development, I am also an experienced mathematics, statistics and economics tutor. I specialise in data science, mathematical modelling and regression analysis, and I am proficient with tools such as R, STATA, SPSS, NVivo, MATLAB, and Google Cloud Platform services. If you need help with your projects, whether it's complex data analysis, academic and professional guidance, Agentic systems or software solutions, I’m here to deliver high-quality work efficiently. Let’s collaborate and get things done.

Businesses generate data every day, but data alone doesn't increase revenue, reduce costs, or improve decision-making. The real value comes from turning that data into actionable insights, accurate forecasts, and intelligent systems that solve business problems. As a Data Scientist, I help startups, SaaS companies, e-commerce businesses, and growing organizations transform raw, complex data into strategic business assets using Python, SQL, Machine Learning, and Business Intelligence. Whether you're trying to understand customer behavior, forecast sales, automate reporting, optimize operations, or build predictive models, I develop data-driven solutions that help you make faster and more confident decisions. My services include: • Data Science & Machine Learning Predictive Modeling Classification & Regression Customer Churn Prediction Sales & Demand Forecasting Customer Segmentation Recommendation Systems Feature Engineering Model Evaluation & Optimization • Data Analytics Exploratory Data Analysis (EDA) Statistical Analysis KPI & Performance Analysis Customer & Business Analytics A/B Test Analysis Data Cleaning & Transformation • Business Intelligence Interactive Power BI Dashboards Tableau Dashboards Executive KPI Reporting Automated Reporting Solutions Data Visualization Power Query • Python & SQL Solutions Data Automation ETL Pipelines Advanced SQL Queries Database Analysis API Data Integration Web Scraping & Data Collection My technical toolkit includes Python (Pandas, NumPy, Scikit-learn, XGBoost, Plotly), SQL, Power BI, Tableau, Excel, Git, GitHub, and modern data science workflows for building scalable analytics and machine learning solutions. My project experience includes developing customer churn prediction models, sales forecasting solutions, executive dashboards, large-scale e-commerce analytics, financial risk modeling, automated data extraction pipelines, and business intelligence solutions that transform complex datasets into clear, actionable insights. I believe a successful data project is measured by business impact, not by the complexity of the code behind it. Every dashboard, machine learning model, and analysis I build is designed to answer important business questions, identify opportunities, reduce uncertainty, and support better strategic decisions. When you work with me, you can expect: Clear communication throughout the project Well-documented and maintainable solutions Clean, scalable, and reproducible code On-time delivery A strong focus on accuracy, usability, and measurable business value If you're looking for a Data Scientist who combines technical expertise with a practical understanding of business challenges, I'd be happy to discuss your project and explore how data can become one of your strongest competitive advantages.