Shaheen Shaik

Bridged business analytics and program management to enhance revenue, streamline costs, and successfully launch initiatives.

Key Projects:

• UberEats: Conducted Root Cause Analysis (RCA) and implemented enhancements in key issue categories, resulting in an 18% reduction in rider churn.
• Eat Wednesday: Launched a weekly promotional program across the UKI region, generating £1.78 million in incremental revenue and onboarding 18,000 new users in 4 months.

Business as Usual (BAU) Tasks:

• Owned performance review for Platform Insights by analyzing feedback across multiple online platforms (Reddit, Twitter, Uber App).
• Conducted RCA on client issue samples under various Issue Categories to drive operational improvements.

• Successfully onboarded partners while conducting thorough criminal record checks.
• Collaborated with nUbers to support target achievement.
• Facilitated engaging Q&A sessions to enhance participant understanding.
• Consistently exceeded performance targets across all areas.

Programming Tools

• Programming & Data Analysis: SQL, Python (NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn)
• Data Visualization: Matplotlib, Seaborn
• Machine Learning: Developed Decision Tree models for predicting outcomes and performed Exploratory Data Analysis (EDA)

Projects

• Built a Decision Tree model to predict student attrition and analyzed feature importance.
• Conducted EDA, data cleaning, and null value replacement.
• Explored Principal Component Analysis (PCA) and its parameters.