Maithili S.

About Maithili S.

Associate Data Analyst at FedEx | Leveraging Data for Business ImpactExperience- Associate Data Analyst, FedEx - Proficient in SQL, Python, Databricks, enterprise data, and data governance support- Collaborated with cross-functional teams to provide data-driven insights and optimize operational efficiency- Contributed to wildlife conservation efforts through organized data initiatives with the Felidae Conservation Fund.Education- Master’s Degree in Information Technology and Management with a specialization in Data Analytics (3.6 GPA)- Illinois Institute of Technology, Chicago- SQL Basic and Intermediate - HackerRank- Data Analytics with Excel - Great Learning- Introduction to Data Science - Cisco Networking AcademyLeadership Qualities- Effective communication- Honesty and integrity- Transparency- Commitment and passion- Decision-making capabilitiesSkills- Data analysis- Data visualization and presentation- Project management- Teamwork- Documentation- Attention to detailTools- Microsoft Office- G Suite- Tableau- Oracle Looker Studio- R Studio- Azure CloudProgramming Languages- R- Python- SQL

Experience

1. Associate Data Analyst

   Federal Express Corporation

   Mar 2025 — Present

   Responsible for performing data/text mining, analysis, and data management tasks to support informed business decisions, ensuring data quality, consistency, and actionable insights. • Design and implement processes and solutions to analyze structured and unstructured data from multiple sources, delivering fact-based recommendations to management. • Maintain and update data models, database schemas, and other components of enterprise data architecture to support business objectives. • Develop and optimize production processes for data collection, processing, and storage to ensure reliability and scalability.• Collaborate with cross-functional teams to troubleshoot data-related issues and ensure proper data storage and accessibility. • Support data governance initiatives, including implementing data access controls, privacy protocols, and compliance with organizational standards. • Manage and document data definitions, classifications, business rules, and metadata within the enterprise data catalog. • Design and develop software solutions for efficient data management, manipulation, and reporting. • Evaluate data trends to provide actionable insights and recommendations to solve key business problems. • Lead efforts in setting up an Enterprise Data Lake in an MS Azure environment, including data ingestion, cataloging, governance, stewardship, and management.

Education

• University of Mumbai

  Bachelor of Engineering - BE, Electronics and Telecommunication Engineering

  2017 — 2021

• Illinois Institute of Technology

  Masters of Information Technology and Management, Data Analytics And Management