Mayank Arora

- Developed custom software and dashboards to pull, process, and share data, reducing manual tasks, optimizing resources, and lowering expenditures

- Maintained and improved Azure CI/CD pipelines, accelerating development and deployment cycles

- Led a team of two Data Engineers to deliver business solutions using statistics, machine learning, and Databricks

- Built an ML forecasting tool that saved approximately \$5,500 per job estimate, later commercialized as a revenue-generating add-on

- Automated data collection processes, cutting roughly 100 hours of manual work down to seconds and saving an estimated \$4,000 quarterly

- Created an NLP-based classification solution using deep learning techniques

- Collaborated with the Global Head of IT Infrastructure to ensure secure, scalable systems and optimize budgeting and resource allocation

- Selected to serve as a judge at an upcoming university hackathon at LMU

- Mentored two interns in data management, fostering best practices in documentation and data-driven decision making

- Authored Python-based Azure Functions to ingest data into a Data Lake, ensuring data cleanliness, schema consistency, and efficient querying

• Initially hired to learn Salesforce and create reports to assist Department's recruiting and retention efforts
• Automated a manual data cleaning and upload process, which reduced delivery times by 50% and increased data accuracy, while providing timely critical insights
• Mapped process activities to identify shortfalls, proposed options, and rectified inefficiencies in Salesforce
• Trained 3 Interns in Salesforce in how to: manage/secure files, create reports, and perform SQL queries
• Performed going updates to data pipeline to maintain efficient data integration and quick report generation