Machine Learning Expertise

I specialize in developing and deploying machine learning models to solve complex business problems. I have a strong understanding of various algorithms, including regression, classification, and clustering techniques. I'm proficient in Python and its associated libraries (scikit-learn, pandas, NumPy) and have experience working with cloud environments (AWS, GCP).

My services include:

• Predictive Modeling: Building and deploying models to forecast customer churn, sales, stock prices, or other key business metrics.

• Data Preprocessing and Feature Engineering: Cleaning and transforming raw data, selecting relevant features, and handling imbalanced datasets to ensure optimal model performance.

• Model Evaluation and Selection: Evaluating different models using appropriate metrics and selecting the best-performing model for the specific task.

• Hyperparameter Tuning: Fine-tuning model parameters to achieve optimal performance and accuracy.

• Model Deployment and Monitoring: Deploying models into production environments and monitoring their performance to ensure continued accuracy and effectiveness.

I have successfully completed projects involving:

• Customer Churn Prediction: Developed a predictive model using a Random Forest classifier to identify customers at risk of churning, achieving an accuracy of over 80%.

• Stock Price Prediction: Built a machine learning model to forecast stock prices using historical data and technical indicators.

• Water Access Analysis: Utilized Power BI to analyze and visualize water accessibility data, identifying disparities and social issues.

I'm passionate about using machine learning to uncover insights and drive data-driven decision-making. I'm committed to delivering high-quality, impactful solutions that meet your specific business needs.