Research Intern Data

Atulya Mannava

516-***-**** *****************@*****.*** https://www.linkedin.com/in/atulya-mannava EDUCATION

University of Illinois Urbana-Champaign, Champaign, IL Master of Science (M.S.) Information Management- Data Science and Analytics (Expected graduation May 2023). GPA: 3.9/4 Course Work: Data Visualization, Data Modelling, Statistical Methods and Analysis, Methods of Data Science, Sociotechnical Information Systems, Information Modeling, Data Storytelling, Information Consulting, Data Warehouse and Business Intelligence. Vasavi College of Engineering, Hyderabad, Telangana Bachelor of Technology (Hons.): Electronics and Communication Engineering (Jun 2018) GPA: 3.4/4 PROFESSIONAL EXPERIENCE

Data Operations Analyst, Rivian Automotive May 2022- Sep 2022

• Providing on-going tracking and monitoring of performance of decision systems and statistical models. Validating data integrity and fixing technical issues within complex systems like MES (Manufacturing Execution System).

• Performed experimental design approaches to validating findings or testing hypothesis which provide business value.

• Performed data analysis of key problem areas to assist in root cause analysis.

• Performed data validation for new or changing source data & identify opportunities for automation using Jira. Center for Health Informatics, University of Illinois Urbana-Champaign Aug 2021- April 2022

• Working as a Research Intern in Data Analytics and Engineering with Dr Ian Brooks for WHO- Anti Infodemiology Center project on Public Health-Infodemiology site monitoring and social media analytics. Converted data into actionable insights by predicting and modeling future outcomes.

• Used descriptive and inferential statistics to understand data behaviors and generated hypotheses.

• Implemented topic modeling to determine the crucial COVID misinformation being circulated and to analyze this misinformation before spreading in American and Mexico regions. Associate Consultant, Capgemini Information Technology Company Sep 2018 - Jul 2021

• Built tableau dashboards using data from BMC Remedy ITSM to visualize core business KPI’s(e.g Weekly Incidents generated) saving 10 hours per week of manual reporting work for financial services client Progressive Insurance.

• Experience in designing the ASP.NET application Authentication using .NET Framework, Model View Controller

(MVC) and IIS 7.5 security model.

• Performed developer analysis on 5 projects for financial services client to report bugs to the engineering team and got issues resolved which helped improve the product reliability of the company by 25%.

• Developed a methodology for automated report generation for keeping a track of the reported and fixed bugs, this saved 10 hours of effort per engineer on the team per month.

• Utilized Data cleaning and data mining techniques for identifying and resolving incidents while working on Data Analysis team for better insight and faster resolution of incidents generated, increasing 12% team productivity.

• Successfully adhered to company data governance standards receiving “Employee of the Year” for 2 years in a row. TECHNICAL SKILL SET & CERTIFICATIONS

• Languages: Python, R, Dot Net Framework, MVC Architecture, Web API, ASP.net, C, C++, C#, SQL.

• Data Modeling & Visulaization Tools: Tableau, Power BI, Excel, Protégé, SAP-ABAP, SAP- Web Intelligence

• Big Data and Database: PostgreSQL, MySQL, SQL Server, Hadoop - Map/Reduce

• Statistical Methods: Hypothesis Testing, Regression Models – Linear and Logistic, Machine Learning – Decision Trees, XGBoost, Random Forest, Naïve Bayes, K-NN, Neural Networks, Deep Learning

• Certifications: Microsoft Certified Dot Net Framework and Development, Microsoft Certified Technology Associate in Python Programming, Marketing Analytics Certification from Darden School of Business ACADEMIC PROJECTS AND AWARDS

• Data Mining and Modeling: Implemented data exploration, data cleaning and model building to predict sales of Big Mart by building a precise model with different regression techniques to gain a deeper insight about the predictors.

• Data Visualization: Implemented a data Visualization board to view the consolidated data from past 10 years regarding the Trees and Traffic Signal co-ordinates in Champaign city.

• Information Consulting: Implemented a full-fledged analysis to address and analyze the problem statement provided by our clients and offered potential solutions/ methodologies to solve those problems. Additionally, worked closely with the client to identify new business opportunities.

• Pothole Detection System (Machine Learning): This system aims at detecting uneven roads and potholes using neural networking, data analytics and wireless communication powered through solar energy.

• National Marketing Championship Award: Awarded National Award in NEN championship during Entrepreneurship Network Week for representing our college as Marketing head for SWAYAM team.

• Poster and Paper Presentations Awards: Need for Innovation in Agriculture Sector, Cloud Computing, Big Data.

Contact this candidate