
Stanley Osei-Wusu
Skills
Technical Skills
• Programming: Python, R, SQL, Bash, JavaScript (basic)
• Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, XGBoost, LightGBM, TensorFlow, Keras, Statsmodels
• Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Model Tuning, Hyperparameter Optimization, Cross-Validation
• Deep Learning: Neural Networks, CNNs, LSTMs, Embeddings (Word2Vec, BERT)
• Natural Language Processing: Text Classification, Tokenization, TF-IDF, Named Entity Recognition (NER), Sentiment Analysis, Transformers (BERT, GPT)
• Time Series: ARIMA, Exponential Smoothing, Forecasting, Rolling Windows
• Data Engineering: ETL Pipelines, Data Wrangling, Data Cleaning, SQL Optimization, Batch Processing
• Databases: PostgreSQL, MySQL, SQLite, MongoDB
• Cloud Platforms: AWS (S3, EC2, Lambda), Google Cloud (BigQuery), Azure (basic)
• Data Visualization: Power BI, Tableau, Looker, Plotly, Streamlit, Dash
• Big Data Tools: PySpark, Hadoop (basic understanding)
• Version Control: Git, GitHub, GitLab
• DevOps & Deployment: Docker, FastAPI, Flask, Streamlit, Heroku, Vercel
• Web Scraping: BeautifulSoup, Selenium
• APIs: REST APIs, OpenAI API, Financial APIs (Alpha Vantage, Twelve Data)
Statistical & Analytical Skills
• Hypothesis Testing
• ANOVA, T-tests, Chi-square
• Linear & Logistic Regression
• Multivariate Analysis
• A/B Testing & Experimental Design
• Feature Engineering
• Principal Component Analysis (PCA)
• Statistical Modeling
• Confidence Intervals
• Bayesian Thinking
Business & Domain Knowledge
• Marketing Analytics
• Financial Modeling
• Customer Segmentation
• Churn Prediction
• ROI Analysis
• KPI Tracking
• Renewable Energy Analytics
• E-commerce Insights
• Supply Chain Optimization
• Business Intelligence Reporting
Soft Skills
• Analytical Thinking
• Critical Reasoning
• Communication & Storytelling
• Adaptability & Resilience
• Problem-Solving
• Collaboration & Teamwork
• Strategic Thinking
• Stakeholder Engagement
• Self-Motivation
• Cross-cultural Communication
About
I am a Data Scientist with a passion for solving real-world problems at the intersection of AI, business, and social impact. With experience in machine learning, predictive modeling, and business intelligence, I build data-driven solutions that inform strategy, optimize processes, and unlock growth.
My background spans freelance projects, renewable energy finance, and leadership roles in operational analytics. I’ve delivered results through customer segmentation models, marketing ROI optimization, and executive-ready dashboards.
I specialize in Python, SQL, Power BI, and statistical modeling, and I’m currently focused on applying my skills in mission-driven environments—particularly in sustainability, justice tech, and inclusive innovation.
I am open to remote opportunities and global collaborations that align with innovation, data ethics, and long-term impact.