● Diagnosed the behavior of autonomous vehicles in real-world and simulated driving events using Waymo’s internal tools

● Ensured software safety and SLA compliance by analyzing 120+ standard level radar/lidar mapped collision scenarios daily

● Created and maintained critical data pipelines, scripts, dashboards, and visualization tools for making data-driven decisions

● Developed comprehensive data structures and metrics to advocate improvements in product development and sales activity

● Conducted large and complex end-to-end analysis including data gathering, cleaning, analysis, and presentations

● Collaborated cross-functionally with software engineers, product managers, systems engineers, and leadership roles

● Showcased high productivity and quality triages while continuously learning and performing data analysis on camera, mapping, behavior planning and prediction, lidar projection, and radar features

● Developed projects involving exploratory data analysis, data cleaning, machine learning & statistics.

● Learned industrial practices and modern data science standards.

Stroke Prediction | Supervised Learning - Classification

• Designed a machine learning model to predict the probability of a person getting a stroke and prevent it from happening through treatment or reduce the precipitating factor

• Cleaned data, selected features and solved imbalance classes problems to test performance.

• Built and compared different classification models including decision tree, random forest and gradient boosting classifier

Made with: Panda, Numpy, Seaborn, sk-learn, imbalanced-learn

Significant Earthquakes Frequency | Research Design & Hypothesis Testing

• Conducted statistical analysis and hypothesis testing in Python to determine how seasons influence significant earthquakes in the world.

• Created compelling visualizations to find trends between select factors to determine the significant differences between different seasons to make recommendations to government, organizations, and businesses.

Made with: Pandas, Numpy, Matplotlib, Scipy

Payroll/ Account Receivable/ Account Payable

• Prepared Bi-weekly payroll for more than 250 employees.

• Managed invoicing for organization through cash receipts processing

• Reviewed bank account statements to reconcile accounts by documenting correct financial information in general ledger.

• distribution of over 600 invoices monthly.