Anoohya Annamaneni Email & Phone Number

Set up ETL processes to transform data under various data warehouses. Added dimensions for the data warehouse and modified the SSAS project to reflect in cubes.Created compelling visualisations to influence the stakeholders to make the best data-driven decisions. Performed ad-hoc data analysis for business segments and answered supporting questions. Built forecasting tool using Python and Power BI through a variety of machine learning algorithms for organisational budget planning and listing order.Envisioned and architected multiple cross-functional projects using advanced data modelling and analysis.Performed in agile methodology, interacted with the team provided/took feedback on design, implemented optimal solutions, and tailored application to meet business requirement and followed Standards.Ingested data from data sources using a combination of SQL, Google Analytics API, and Google Search Console API using Python to increase transparency of site performance. Written and implemented multiple API scripts to extract cost information from Google, Facebook,Tiktok and other 3rd party data providers.

Winston-Salem, North Carolina, United States

● Developed and analyzed solutions using ML, Data Modeling and Data Visualizations.● Helped E-commerce team with their data needs and analytics support. Generated various reports using COGNOS and Power BI that help stakeholders to make informed business decisions.● Performed exploratory data analysis on t-log data and online order data to understand the late delivery orders, number of slots available per hour and how the pandemic affected the business. Was able to reduce late deliveries by 67 % and achieve bettercustomer experience.● Analysed the performance of each category i.e Year to Year growth, shrink, pricing, promotions, sub category decomposition,sales performance, assortment and presented them to the category managers.● Collaborated with Data Warehouse Specialist to add new data cubes/metrics and improved Data Mining processes, resulting in 25% decrease in time needed to infer insights from customer data used to develop marketing strategies.

India

● Developed easily adaptable applications for an insurance company which helped the end users to increase the number of claims audited per hour by 60%.● Maintained client's database and fulfilled their data requirements. Developed task schedulers to automate the loading files into the database and sampled according to requirement and eventscheduler for a timely scheduled delivery of email of the files loaded.● Developed custom dashboards to track inventory and Key Performance Indicators using D3.js and Tableau.● Worked with SQL for the back end and Knockout JS, Bootstrap, C# for the front end.

Master'S Degree, Data Science

Bachelor'S Degree