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Skills

  • Algorithms
  • Analytics
  • Data Analysis
  • Data Visualization
  • Microsoft Excel
  • Python
  • Reports
  • Statistical Analysis

Services

  • Data Analysis

    $10/hr Starting at $25 Ongoing

    Dedicated Resource

    I pull from the raw data to help clients make important decisions by identifying various facts and trends. Typical duties include: - using advanced computerized models to extract the data needed - removing...

    AlgorithmsAnalyticsData AnalysisData VisualizationMicrosoft Excel

About

Analytics data analysis data management data cleaning

I am a geoscientist with more than 14 years of experience in the oil/gas fields, from 2017 till now but I started this year learning programming. I am currently enrolled in a Udacity Nano degree for data analysis, through which I have learned statistics, python scripting, data wrangling, and data analysis using python codes, pandas data frames.
doing visualization using matplotlib & seaborn.
I have good experience in Excel sheets for data analysis and visualizations with different chart types and pivot tables.

I have Successfully finished two projects within the course:
Project 1 Bike share project where I created an interactive code to help any user to get information regarding bike share use in Chicago, New York City, and Washington and computing a variety of descriptive statistics like:
#1 Popular times of travel (i.e., occurs most often in the start time)
• most common month
• most common day of week
• most common hour of the day
#2 Popular stations and trip
• most common start station
• most common end station
• most common trip from start to end (i.e., most frequent combination of start station and end station)
#3 Trip duration
• total travel time
• average travel time
#4 User info
• counts of each user type
• counts of each gender (only available for NYC and Chicago)
• earliest, most recent, most common year of birth (only available for NYC and Chicago)

Project 2 FBI Gun Data

Conduct data analysis and create a file on Jupyter using pandas and NumPy and create a report showing the trends and relations of the data frame of FBI Gun data. The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used to determine whether a prospective buyer is eligible to buy firearms or explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been supplemented with state-level data from census.gov.

Work Terms

10 h/week
10$/h

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