Anuja Thatte Email & Phone Number

Newark, NJ, US

New Jersey, United States

• Collaborated closely with co-mentors while utilizing business intelligence reporting tools like Tableau to derive actionable insights and achieve informed decision-making process.
• Designed relational database management systems (RDBMS) tables, views, indexes, stored procedures, cursors, triggers, performing advanced data modeling. Additionally, optimizing existing queries to enhance efficiency.
• Actively participated in TVP meetings and dealt with data from surveys and events to create analytical dashboards.
• Empowered stakeholders enabling accelerated data interpretation by 40% and further extract valuable insights quickly ascompared to traditional processes, implementing detailed analytical dashboards.
• Worked in collaboration with a senior mentor and conducted weekly meetings with the mentee, fostering discussionsaround academic progress and addressing any challenges they may encounter along their journey.

Boston, Massachusetts, United States

• Designed and implemented scalable big data architectures tailored to business needs, balancing performancerequirements with considerations for data volume, velocity, and variety.
• Applied in-depth Extract, Transform, Load (ETL) skills to orchestrate the smooth movement of data, optimizingprocesses for efficiency and maintaining data integrity throughout.
• Applied expertise in data modeling to design structures that optimize storage, retrieval, and processing, catering to theunique challenges posed by varying data volumes and complexities.
• Demonstrated proficiency in setting up and maintaining Hadoop clusters, ensuring robust distributed storage andefficient processing of vast datasets.
• Developed and optimized notebooks in Azure Data bricks, showcasing the ability to translate complex dataengineering tasks into clear and efficient code for streamlined analysis and processing.
• Successfully orchestrated and scheduled jobs within Azure Data bricks, ensuring the efficient execution of dataprocessing tasks and maximizing the platform's capabilities for scalable and reliable data solutions.

India

• Reduced time required to make stocking decisions by 25%, programming an efficient tool using SQL and Snowflake.
• Generated data extraction pipelines and further leveraged advanced MS Excel techniques (VLOOKUPS and Pivot Tables)to develop customer dependent monthly inventory analysis reports for 22 fulfillment centers for accurate.
• Empowered stakeholders enabling accelerated data interpretation by 40% and further extract valuable insights quicklyas compared to traditional processes, implementing detailed PowerBI dashboards.
• Improved customer demographic analysis by 30% to improvise business decisions, employing effective python scriptsto integrate 4 critical attributes from Census data into transactional data warehouse.
• Enhanced SKU demand planning for 70 customers, analyzing Key Performing Indicators (KPIs) for order data.
• Collaborated with cross-functional teams, including operations and finance, to align inventory management strategieswith the company's financial goals, resulting in a 5% decrease in carrying costs.

Master Of Science - Ms, Information Systems

Bachelor Of Science - Bs, Computer Engineering