Usman T.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I take complex data and turn it into actionable information with Python, SQL, Machine Learning and state-of-the-art analytics solutions. I have a unique mix of technical skills and business acumen, having worked for over 19 years in both software engineering and marketing & sales and data science. With a foundation in business, I bring a unique perspective to the table that connects the dots between business goals and data-informed insights that will help you make better decisions, run more efficient operations, and discover new growth avenues. My expertise includes: The course will cover machine learning and predictive modeling. Machine Learning & Predictive Modeling will be covered. • Time Series Forecasting & Econometric Analysis • Customer Segmentation & Churn Prediction • Credit Scoring & Risk Analytics • Predicting Customer Lifetime Value (CLV) • Knowledge Management with LLM/RAG Solutions. • SQL, Python, R, Spark, Databricks • Create a Power BI or Tableau dashboard.Build a Power BI / Tableau dashboard. • Data Analysis & Feature Engineering Throughout the years, I have created and presented solutions to: • Lending and credit scoring models • Predictive systems for customer churn.Customer Churn Prediction systems. • Analyzing customer behavior and marketing analytics.Knowledge of marketing analytics and customer behaviour. • Understanding the value of operational research and schedule optimization. • Forecasting models of business and economic indicators. • Executive dashboards and business intelligence solutions A key ability is tackling complex predictive analytics challenges, including non-stationary data, multicollinearity, lag effects, and the dynamics of markets. I have had a strong experience using forecasting models that are built using a mix of statistical techniques, machine learning and external data sources to produce meaningful business information in variable settings. I can use: • All calculations are performed using Python (Pandas, NumPy, Scikit-learn). • SQL & Data Extraction • R Language of Statistical Computing • Spark & Databricks • Tableau & Power BI Visualization • A range of machine learning and forecasting workflows. I also collaborate with stakeholders and business teams to ensure that solutions align with actual operational objectives, going far beyond the technical aspects of the implementation. I am able to communicate between technical and non-technical teams because of my experience in both management and analytics. I am a data scientist with both technical skills and business acumen, if you're seeking either or both, I'd be delighted to discuss how I can help with your project.