Information Technology Data Analysis

SAI MAHESH MANTHRI

****************@*****.*** 870-***-**** Jonesboro AR saimaheshmanthri Profile

PROFESSIONAL SUMMARY

Graduate Assistant at ASU specializing in time series data predictive analytics, with a background in Engineering/Industrial Management and a master's degree in Information Technology. Experienced in MySQL, Python, and R for exploratory data analysis at Cognizant and Accenture. Dedicated to applying methodical approaches and diverse perspectives to drive data-driven strategies and contribute to organizational success through meticulous research.

Professional Experience

Graduate Assistant, Arkansas State University

•Conduct exploratory data analysis(EDA) to identify trends, patterns and anomalies.

•Conduct literature reviews and summarize to identify gaps and opportunities. 06/2023 – Present

Jonesboro, USA

•Prepare research reports, and presentations for conferences and publications. Business Analyst, Cognizant Technologies

•Improved business processes by analyzing current practices and recommending optimization Strategies.

•Reduced Operational Costs through data analysis and implementing cost-effective solutions. 09/2021 – 04/2023

Hyderabad, India

Associate Analyst, Accenture

•Enhanced business efficiency by identifying trends and patterns in complex datasets.

•Stream lined data processing for faster results by implementing advanced analytics tools. 01/2020 – 08/2021

Hyderabad, India

Education

Masters in Engineering Management, Arkansas State university GPA (3.7/4)

05/2023 – Present

Jonesboro, United States

Masters in Information Technology, Osmania University GPA (7.1/10)

09/2022

Hyderabad, India

Bachelor of Business Administration, Osmania University GPA(8.7/10)

06/2019

Hyderabad, India

Skills

Languages

Python,SQL,R

Statistics

Technical Documentation,Data Analytics,Big Data, Web scraping, Hypothesis testing, Digital Adoption Platforms

(DAP), Agile Project Management,Change Impact Analysis, Organizational Change Management.

Tools

Tableau, MySQL, Atlassian Suite, Power BI, Google Analytic, MS Excel,Powerpoint,Postgre SQL, Jira

Projects

Price Optimization Algorithms: Enhancing Revenue and Customer Satisfaction. Implemented Price Optimization Algorithms: Enhancing Revenue and Customer Satisfaction involves utilized various tools and technologies. Using

**Python.

Strategic Risk Analysis: Case Study of [Nike, Inc]. Analyzing Nike's Risks: Brand Image, Labor Practices, and Competitive Challenges in Athletic Apparel. SAI MAHESH MANTHRI ****************@*****.***

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