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Skills

  • Data Analysis
  • Data Wrangling
  • Business Analytics
  • Jupyter Notebook
  • Mathematics
  • Matplotlib
  • Microsoft Excel
  • Microsoft PowerPoint
  • Microsoft Word
  • Predictive Analytics
  • Probability
  • Python
  • Python 3

Services

  • Data Wrangling and Analysis

    $8/hr Starting at $25 Ongoing

    Dedicated Resource

    With the use of Python and Anaconda data package, I will analyze large datasets to deduce valuable insights. While data is becoming widely available, it does not yet qualify as clean and ready for analysis...

    Business AnalyticsData AnalysisData WranglingJupyter NotebookMathematics

About

I am offering my services as data analyst. My utmost aim is customer satisfaction by delivering enhanced value.

I graduated with a BSc degree in Construction Engineering in 2016. During my early career stage, I worked as a Structural Designer during which I worked without interacting with the client. At this point in time, I decided to shift my focus towards the study of project management where I could become closer to the decision-making process and directly deal with clients and resolve their issues.
During my MSc degree in Project and Enterprise Management (2019/2020), I have focused on the process of enhancing project management processes via the application of digital technologies. An integral aspect of implementing digital technologies was the management of data and to transform them into useful information. In addition to understanding the significance of data, my studies in the project management field have taught me the significance of customer satisfaction. The chief aim of a project is to essentially satisfy the client’s requirements and to even exceed them.
I have worked on multiple projects involving large datasets using Python. These projects involved assessing, gathering, and cleaning the data, analyzing the data by descriptive statistics, and drawing out insights and visualizations to effectively communicate with stakeholders.I have worked on multiple projects involving large datasets using Python. These projects involved assessing, gathering, and cleaning the data, analyzing the data by descriptive statistics, and drawing out insights and visualizations to effectively communicate with stakeholders.
Aside from my educational and technical background, I like to read, travel and workout. Football/Soccer is my favorite sport to watch.

Work Terms

I work five days a week from Monday to Friday.
I would usually prefer a downpayment to ensure the seriousness of the offer. If not possible, I would be glad to receive the full payment after fulfilling my obligations and ensuring the client's satisfaction.
My preferred method of communication is via email. I reply to emails all days of the week.