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Vidhi Agarwal
BASIC
Data Analyst Vidhi Agarwal, Engineering & Science
VIDHI AGARWAL DATA ANALYST CONTACT www.linkedin.com/in/vidhi￾agarwal-244197156 PROFILE Data analyst professional with approx. 2 years of experience with a customer focused approach and possession of strong communication and logical skills. Solving business problems across domains and industries practiced in clarifying business requirements, performing analysis between goals and existing procedures, and designing process improvements to increase productivity and reduce costs proven ability in moving up the learning curve quickly, with solid academic and employment achievements. SKILLS MS Excel, MS SQL, Python, R, MS Office, Power BI, Macros, Tableau, Windows and Linux EXPERIENCE INFOSYS: Data Analyst/ Business Analyst SEP, 2019 - Present  Receiving business requirements from product owners, and analyzing the impact on the current state, and creating designs for development based on technical and functional aspects.  Integrating sales and financial data with cloud and operational data to present vantage point view of business.  Co-ordinating with clients to formulate strategy to transition business requirements to development teams.  Collaborating with different teams like operations, developers, risk analytics for continuous developments, requirements and solution analysis.  Cleansing of data, manipulation of data, retrieving data from various sources.  Applying descriptive analysis, visualization and validation concepts to data.  Developing data warehousing and reporting solutions to address the growing business reporting, analytics and data requirements.  Analyzing data using SQL, Excel and Power BI to identify the pattern.  Analyzing ticket SLA and breaching state based on priorities. PROJECT 2 Project Name: Performance Optimization Role: Data Analyst/ Business Analyst Responsibilities:  Receiving business requirements from product owners, and analyzing the impact on the current state, and created designs for development based on technical and functional aspects.  Translating business problems to an analytics problem, recommending and applying the most appropriate methods to yield insights and results.  Created and communicated product roadmaps, product benefit for clients and internal stakeholders after analysis of business operations and priorities.  Publishing and automating cloud metrics related reports by segments – customer, layer – IAAS, PAAS.  Supporting engagement activities to analyze business environments, gathering business requirements and creating data visualizations in support of work product. Tools Used: Excel, Power-BI, SQL, PowerPoint, Python, MS Azure, GCP, Windows, Linux PROJECT 1 Project Name: VM Management Role: Data Analyst Responsibilities:  Gathering requirements, designing and implementing the same.  Collecting data from various sources like Microsoft Azure and Windows event log, and analyzing the data using data analytics tools.  Analyzing the Servers with similar issues, total VM users in different teams, Server performance and load.  Building Metrics, Descriptive analysis, Visualization of CPU performance.  Constructing and delivering written reports of the analytic findings in a variety of formats (reports, PPT, including visualization of data and findings), formulating recommendations, and effectively presenting the results to potential non-analytic audiences. Tools Used: Excel, Power-BI, SQL, PANDAS, NumPy, Python, MS Azure, Windows, Linux EDUCATION DYPIT, Pune – University of Pune 2015-2019 B.E. Computer Science - 7.65/10 CGPA Central Board of Secondary Education 2013-2015 – 79.8% CERTIFICATIONS  Google Data Analytics by Coursera | Google  MS Excel for Data Analysis by UDEMY  Python for Data Science and Data Analysis by UDEMY  SQL Masterclass: SQL for Data Analytics  R Programming Complete Certification Training [2021 Edition] by UDEMY  The Microsoft Excel Zero to Master Complete Course by UDEMY  Certification in POWER BI by SKILL-TO academy
Engineering & Science
Data Science
Statistical Modeling
Data Mining
Scientific Research
Machine Learning (ML)
50 $
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