Muhammad Bilal

I have been involved in the data analytics domain for the last 3 years, initially doing research work involving generative models during my masters in the US, and for the last two years optimizing business processes using machine learning models, generating over $500k in revenue per month for clients. I also worked on Churn Prediction, Customer Lifetime Value CLV Estimation, Optimization Metric Design, Feature Selection methodologies, Revenue Predictions, preparing diagnostic reports to analyze performance and monitoring the production environment. Through this, I have developed a strong proficiency in Python, R and SQL, and cultivated extensive experience on ETL processes, data reporting, validation and visualization. , I am experienced in managing stakeholder demands and communicating actionable insights to improve performance. My current job requires me to work with multiple teams to ensure that our machine learning models are accurate, scalable and reliable.