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Hem Raval

Hem Raval

Data Analyst
United Center, City of Chicago, Cook

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About Hem Raval:

My name is Hem Raval and I believe that, with my skills, experience, and attitudes, I can bring a lot to the company, and I’m excited about the prospect. I feel that my skills and experience are a great fit for the position of Data Analyst. Please feel free to contact me to arrange an interview. Mentioned below are my Experiences and Expertise levels.

 

  • 2 years of experience as a Data Analyst with Design, Modeling, Development, Implementation, and Testing of Data Warehouse applications.
  • Good knowledge of the Software Development Life Cycle (SDLC), Agile, and Waterfall Methodologies.
  • Working experience in using various packages in R and Python-like ggplot2, pandas, NumPy, SciPy, and Matplotlib.
  • Good knowledge of various Python IDE such as Visual Studio Code and PyCharm.
  • Well-Versed in designing visualizations using Tableau and Power BI software.
  • Knowledge of Data Interpretation, Data Analysis, and Data Integration by using Databases like MySQL and MS SQL Server.
  • Understanding of Data extraction, Data cleaning, Data Loading, Statistical or Exploratory Data Analysis, Data Involving complete Agile Requirement Analysis, Development, System, and Integration Testing.
  • Responsible for multithread code and applications using Python languages.
  • Creating various capacity planning reports using Python packages such as NumPy, Pandas, matplotlib, and SciPy.
  • Create action filters, and parameters, and calculate sets for preparing dashboards and worksheets in Tableau.
  • Develop the necessary Stored Procedures and created Complex Views using Joins for robust and fast retrieval of data in SQL Server.
  • Use pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.
  • Performing data analysis and maintenance on information stored in MySQL database.
  • Worked in Waterfall methodologies with quality deliverables delivered on time.
  • Implemented Machine learning models in R and Python for business forecasting.
  • Worked with Development IDE such as Visual Studio Code and PyCharm.
  • Programmed a utility that used multiple packages in Python like NumPy, Pandas, Matplotlib, SciPy, and ggplot2 in R.
  • Transformed and merged data as per the requirement for ease of analysis in Excel by using Power Query in Power BI.
  • Created functions, triggers, views, and stored procedures using MySQL.
  • Conducted Statistical Modeling of data on how providers submit outpatient authorizations using Pivot Tables in Excel.
  • Participated in all phases of data mining, data collection, data cleaning, developing models, validation, and visualization.

 

Experience

  • 2 years of experience as a Data Analyst with Design, Modeling, Development, Implementation, and Testing of Data Warehouse applications.
  • Working experience in using various packages in R and Python-like ggplot2, pandas, NumPy, SciPy, and Matplotlib.
  • Proficient in SDLC, Agile, and Waterfall methodologies for efficient project management and software development processes.
  • Skilled in working with Visual Studio Code, PyCharm and Jupyter Notebook IDEs for efficient coding and collaboration.
  • Proficient in utilizing Amazon Redshift, Snowflake, Amazon S3, and EC2 for scalable data storage, processing, and analytics in cloud-based environments.
  • Well-Versed in designing visualizations using Tableau and Power BI software.
  • Knowledge of Data Interpretation, Data Analysis, and Data Integration by using Databases like MySQL and MS SQL Server.
  • Understanding of Data extraction, Data cleaning, Data Loading, Statistical or Exploratory Data Analysis, Data Wrangling, and Predictive Modeling using R and Python.

Education

Master of Science - Cyber Security 

Bachelor of Engineering - Information Technology

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