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Data Analyst Resume

SUMMARY:

  • Highly analytical and process - oriented Data Analyst with master’s degree in Computer science. 6 years of IT industry experience including mainframe developer and Data Analyst with a background in Data Analysis, Dashboards, Databases and Reports Creation.
  • Proficient in Databases and concepts such as Data Cleaning, Data Visualization, Designing, Data Testing, and Generating interactive reports.
  • Proficient with data visualizations tools like Tableau, Power BI.
  • Proficient in SQL querying and worked extensively to meet end user requirements by producing complex queries.
  • Proficient Experience in Python Libraries such as Numpy, Pandas, Matplotlib, Seaborn.
  • Quick Learner, Passionate, creative, and capable of working and communicating with people at all levels of an Organization with a sense of responsibility with self, team, and Client possessing.
  • Excellent analytical and problem-solving skills with an ability to handle multiple projects in a fast-paced, deadline-oriented environment.
  • Have 2 years of experience as a mainframe developer.
  • Experienced in working with multicultural team.
  • Excellent client relationship management.
  • Experienced in direct client interaction from requirement gathering to postproduction.
  • Experience in Software development life cycle (SDLC) that includes requirement gathering and analysis, design, coding, and all kinds of testing (Unit testing, system testing and integration testing, User acceptance test or UAT), implementation and maintenance.
  • Diligently worked with ServiceNow. Used this ticketing tool to process and catalogues customer service request.
  • Worked on the large data sets, explored the data, cleaned data, transform datasets, and interpreted data to get meaningful insights.
  • Implemented pivot tables, V-lookups, and charts to create a dashboard and present the data summary.
  • Worked closely with the assigned scrum master and business to define the scope of the project.
  • Having some knowledge on Teradata, snowflake, and AWS.
  • Well versed with G suite tools.

TECHNICAL SKILLS:

Technical Skills: Advanced Data Mining, Business Intelligence (BI, Data Visualization, Experimental Design & Analysis Power user of Tableau, Microsoft Power BI, Microsoft Office Suite, Microsoft SQL Server, Jupyter Notebook.

Programming language: Python, SQL, Pandas, Numpy, Jupyter notebook, MySQL

IDE: Pycharm

Database: MYSQL

Visualization tool: Tableau, PowerBI, Microsoft Excel

WORK EXPERIENCE:

Data Analyst

Confidential

Responsibilities:

  • Performed data analysis with data pre-processing techniques like data cleaning, Data transformation and Data Reduction on huge datasets imported from various data sources like Excel, CSV and text files.
  • Performed ETL related activities.
  • Worked on data cleaning on large data sets using MYSQL workbench.
  • Generated SQL queries for loading data directly into PowerBI.
  • Converted data into actionable insights by predicting and modeling future outcomes.
  • Generated various dashboards and effective visualization reports in Tableau, PowerBI for data intelligence and analysis based on the business requirement.
  • Successfully interpreted data to draw conclusion for needed action and strategy.
  • Attended and managed weekly, bi-weekly agile sprints with team.
  • Used Scrum Agile Methodology in my work (Daily scrum meeting, Sprint backlog, 1 on 1 meeting.)
  • Performed data exploration to explore high level business questions using Python and its libraries pandas and matplotlib.
  • Performed various analysis which help to increase revenue by 10%
  • Performed Data Analytics on company’s sales records and helped in the evaluations of company’s progress through Consistent presentations about the analysis and growth of the company.
  • Update and maintain dashboard throughout project lifecycle.
  • Used ServiceNow to track incidents.
  • Analyzed and developed business and functional requirements-BRD.
  • Used JIRA tool to track and maintain different versions of the project documentation & extensively involved in the modeling and development of Reporting Data Warehousing System.
  • Worked as a part of scrum team, in an agile methodology with sprint cycles, daily stand ups and story implementation.

Confidential

Data Analyst

Responsibilities:

  • Performed data scrapping, data cleaning, data analysis, and data interpretation and generated meaningful reports using Python library like matplotlib.
  • Also performed various data analysis operations using Excel.
  • Ability to write complex SQL queries.
  • Basic understanding of database architecture principles.
  • Worked on incident management tool (IM tool) to track the incidents.
  • Implemented pivot tables, V-lookups, and charts to create a dashboard.
  • Analyzed and worked on below projects.
  • India-census
  • Weather Data
  • Titanic Dataset
  • London housing Dataset

Confidential

Mainframe Developer / Business Analyst / System Analyst

Responsibilities:

  • Experience in Software development life cycle (SDLC) that includes requirement gathering and analysis, design, coding, and all kinds of testing (Unit testing, system testing and integration testing, User acceptance test or UAT), implementation and maintenance, root cause analysis (RCA)
  • Experienced in insurance, banking domain.
  • Excellent client relationship management.
  • Experienced in direct client interaction from requirement gathering to postproduction.

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