Data Science

Data Analyst

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  • 392 Views

  • Delivery Time 1-3 Weeks
  • Response Time 1 Day
  • English Level Fluent

Description

  • I am a Data Analyst with passion to solve problems. Have a good command over python, pandas, excel, Numpy, SQL and matplotlib.
  • Result Oriented Data Analyst with 4 years of progressive expertise in analyzing and visualizing the data.
  • Worked on the client side with hands-on experience on managing teams and multiple projects.
  • Administered innovative solution to complete vision of clients.
  • Primary SkillsPython, Pandas, NumPy, data visualization, Data Mining, Data Analysis, Data Collection, data cleaning.
  • Secondary Skills: Data Manipulation, Excel, Matplotlib, SQL, Data Extraction, Data Cleansing, Business Analysis, Data Validation, Tableau, Data Quality.
Work Experience -
  1. Description: Projects includes performing the data cleaning, data munging, data formatting, data analysis and data visualization.
  • Collection, collation and carrying out complex data analysis in support of customer requests. Manipulating, cleansing & processing data using Excel, Python and Pandas.
  • Focal point for helping the client in making sound decisions with the help of data analysis.
  • Analyzed the data by using all the possible functions available in pandas. Change the code in python to meet the requirements.
  • Good in writing scripts to scrap the web and derive the data from it.
  • Comfortable with descriptive statistics which help in analyzing the data to more accuracy.
2. Description: Project includes testing in Oracle General Ledger, Oracle Financial Accounting Hub and many other third-party applications. Testing was carried out in both SDLC and Agile methodology.
  • Performed Work with minimum supervision and handled the projects from initiation till sign-off.
  • The work was to analyze the millions of daily transactions and to ensure the quality of data as it passes form one interface to other.
  • Assumed the role of SPOC for the projects and communicated with different teams at different locations in daily status call.
  • DSR (Daily status Report), WSR (Weekly Status Report) were prepared and shared with all the stakeholders.
  • Use the knowledge of financial modules to complete projects end to end. And help collaborate the teams bridging the gap between technical knowledge and functional knowledge.

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