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Business Analyst Data

Location:
Boston, MA
Posted:
March 21, 2024

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Resume:

GOPI

CHIRUMAMILLA

Lowell, MA https://www.linkedin.com/in/gopi-chirumamilla-2403a71a9/

978-***-**** ad4hsx@r.postjobfree.com

EXPERIENCE

ASSOCIATE SOFTWARE ENGINEER

Legato Health Technologies Hyderabad, TS, INDIA

2020- 2022

More than two years of experience at Legato as a flexible business and data analyst

demonstrated technical proficiency in database architecture, data mining, segmentation strategies, and data models.

Practical knowledge with databases, particularly SQL, and reporting programs like Business Objects.

Competent in Python programming and ETL framework usage.

Skilled at using Excel for sophisticated data analysis.

Proficient at composing reports, presenting findings, and posing queries by Power Bi and tableau.

Essential part of revolutionary projects for improving analytical skills and data processing.

Working cooperatively with cross-functional teams to align strategies and enhance systems.

Comprehensive examination of market dynamics, sales, and company trends to provide useful insights.

Participates actively in forecasting, budgeting, and offering financial insights.

Proactively utilizing the most recent developments in data analysis and software engineering to continuously enhance operational efficiency.

EDUCATION

MASTER’S IN SCIENCE IN BUSINESS ANALYTICS

University of New Haven

Jan 2022 - Dec 2023

Active Participant in the Business Analytics Community at the University.

Completed coursework in data visualization techniques, strategic decision analytics, and advanced predictive modeling to gain specialized skills in the sector.

Good Academic Standing: Preserving a strong academic standing with a 3.6 GPA.

SKILLS

Effective data communication through the creation of dynamic graphics using Power BI and Tableau.

Informatica: Expert in productive data processing.

R and Python: Robust programming languages for sophisticated analysis and judgment.

Outstanding Communication: Explaining technical ideas to stakeholders who are not technical.

Advanced Analytical Skills: Making sense of data to provide useful insights.

SQL Data Manipulation: Proficiency in SQL is required for precise analysis.

ETL, Power BI, and Tableau were utilized for project analytics in B2C and retail operations.

Proficiency in SQL for handling retail data and experience with databases.

Programming knowledge (R, Python, ETL Frameworks): Retail analysis by application of programming.

Excel proficiency: utilized Excel for in-depth data analysis.

Skilled at Writing Reports, Asking Questions, and Presenting Results: conducted research and provided conclusions to support defensible decisions.

PROJECT:

Title: Retail Data Analysis and Decision Support System.

Used R and Python to analyze data and make complex decisions for retail operations.

Successfully explained technical ideas to stakeholders who are not technical, promoting comprehension and decision-making.

Utilized sophisticated analytical abilities to extract insightful knowledge from intricate datasets.

Adept at manipulating SQL data for accurate analysis and database administration.

Used Tableau, Power BI, and ETL to project analytics for retail and B2C operations.

Shown proficiency with SQL to handle retail data and efficiently manage databases.

Utilized R, Python, and ETL framework programming skills for retail research and optimization.

Made extensive use of Excel for data visualization and analysis to inform business choices.

Competent in posing intelligent queries, producing thorough reports, and presenting data to back up judgments that may be justified in retail operations.



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