Reethu C. Email & Phone Number

Hired to be a liaison between data engineering and business intelligence to provide data solutions to internal stakeholders and customers. Work closely with Customer Service, Finance, Product and Engineering teams to deliver data assets and Dashboards for actionable insights.Notable Contributions:• Design, develop and maintain data warehouse and analytics architecture.• Create reports using Power BI and Tableau as well as develop underlying T-SQL logic.• Migrated reports to new data warehouse and created separate reports by instance/service providers maintaining data security.• Build complex SQL queries on large datasets and performance tune as needed.• Maintain ETL packages and supporting data objects for the growing BI infrastructure.• Communicate clearly and effectively with stakeholders providing a better understanding of key factors in Business and Analytics.• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse.• Work on core data structures and algorithms and implement them using technology chosen.• Conduct data quality profiling analysis, recommend data quality rules and processes.• Lead and provided knowledge transfer to peers on standards of the company and specifics on each report.• Develop dashboards and reports that maximize use of stakeholder time and effort by providing high-value information quickly and easily.• Created standard views in SQL that can be leveraged by multiple reports reducing refresh times and decreasing server overload.• Created a standardized report that lets the stakeholders view metrics of app adoption helping them to work on factors that could most effectively drive an increase.• Solely responsible for month-end finance operational tasks that provides KPIs for ELT.

Greater Chicago Area

Recruited to gather requirements and develop BI Dashboards that facilitate various kinds of analysis and improved visibility across Finance, Sales, and Marketing. Performed as the Tableau server site admin, trainer, and Subject Matter Expert (SME) on dashboards developed for more than five markets. Analyze and process complex data sets using SQL, Python and Google Big Query. Create visualizations using multiple data sources, including MicroStrategy, Hadoop (Data Lake), Google BigQuery, SAP, and standard Microsoft outputs.Notable Contributions:• Built international dashboards that provided actionable business insight for leadership decision-making across the business for Sales KPIs, Order Tracking, Inventory, Brand Performance, Budgeting, Promotional Performance, Demographical information, Forecast, CAGR, and Gross to Net Reporting.• Facilitated the automation, consolidation, and transition of all Finance Team reporting from Excel to Tableau, better serving strategic business requirements, and reducing their workload by 25%.• Highlighted the most critical KPIs in a dynamic format that could be used by any of the teams.• Provided reliable and well-structured datasets for search and AI-Driven real-time analytics to facilitate the creation of data pipelines through ThoughtSpot.• Nominated for the Silent Hero Award for our VIA (Vision into Action) 2019 and 2020 Awards.• Received recognition from the Enterprise Level Team (ELT) for work on reporting promotional data from Anaplan that enabled enhanced Financial Planning and Analysis (FP&A) performance.• Oversee the format of data tables and data lake used in Tableau, collaborating with data engineers on an agile process-driven project to deploy datasets to the data warehouses from various sources and platforms including Hadoop, Hive, Asperity, SAP HANA, and Anaplan.• Created the Daily Order Tracking dashboards that served more than four markets and are the most used reports across the company.

Northbrook, Il

• Executed structured SAS-SQL Teradata code to synthesize large amounts of relational data to optimize complex member communications products to key audiences.• Managed multiple projects simultaneously, adjusting priorities as needed and meeting deadlines.• Successfully leveraged Sophisticated Database Management platforms such as Teradata, SAS Macros, SQL and structured programming.• Built various SQL queries like finding duplicates, eliminating duplicates, updating and deleting the tables/records and pulling out different kinds of queries for analysis purposes.• Performed Quality Assurance and List pulls and Modified the data accordingly.• Communicated with the team and the Project Managers on a regular basis and done daily status updates.Environment: SAS Macros, MS Access, Teradata, SQL

Greater Chicago Area

• Interacted with key Business Users and gathered Business Requirements to identify Key Performance Indicators to be displayed in reports.• Developed dashboards which includes Geographical Mapping functionalities and Advanced Data Visualization features of Tableau involving multiple dimensions and measures.• Worked on all the Data manipulation features in Tableau like calculated fields, Parameters, Table calculations, Sets, Filters, Actions, Custom sorting etc.• Created Custom SQL queries and Parameters. Involved Performance Enhancement activities.• Developed Forecasting Trends based on Historical Data.• Understanding and implementing best practices of Data Visualization.Environment: Tableau Desktop 10.2/10.3, Tableau Server, Tableau Online, Oracle SQL 10g/11g

Charlotte, North Carolina Area

Worked on the course structure for the DSBA major in order to avoid course topic overlapping in different courses and gave inputs to the department to design an optimal path based on data from students and professors by performing analysis methods and Visualizations.

Greater Atlanta Area

As an Intern, the main Project I worked on is the Integration of a Learning Management Tool(LMS) with a Machine Learning algorithms to provide an adaptive learning environment for students. For this process, Data needs to be extracted, cleaned and analyzed. The analyzed data is then used to provide recommendations to students and guide them through a course path that seems to be a best fit for them.If the project needs to be broken down into smaller chunks, the main break points will be:I. Understanding high level open source LMS.II. Choosing an LMS for the project.III. Understanding high level Machine Learning products/API.IV. Integrate the LMS and ML tool.V. Data crawling from the LMS.VI. Developing/Implementing the Analysis Algorithms.VII. Recommendations to Students based on Analysis.Apart from the above mentioned project, I also assisted my mentor with works that are assigned to me which include presenting the work done, researching about the impact of Machine Learning on each Industry jobs and explaining about Data Analysis concepts to the colleagues.

Charlotte, North Carolina Area

As a Graduate teaching Assistant, I had the following responsibilities:- Assist faculty members with classroom instruction, exams, record keeping, and other miscellaneous projects.- Tutor or mentor students.- Prepare presentations for lectures.- Deliver lectures.- Record grades and inform students of their final grades.- Meet with students during office hours.- Help professors and teachers develop course plans.- Assist with student conferences.- Lead discussion sections.- Create and write materials such as a syllabus, visual aids, answer keys, supplementary notes, and course websites.- Correspond with students on Moodle.

Master'S Degree, Data Science And Business Analytics, 3.8

Bachelor Of Technology (B.Tech.), Electrical, Electronics And Communications Engineering, 79%

Activities and Societies: IETE, Innovation club, Convergence (National level Technical Fest), AISEC• Secured merit rank of 1161 NIIT.