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Skills

  • Data Analysis
  • Data Manipulation
  • Jupyter Notebook
  • Microsoft Excel
  • Microsoft Excel Pivot Tables
  • PostgreSQL
  • Python
  • Python 3
  • Python Numpy

Services

  • Data Analysis

    $5/hr Starting at $25 Ongoing

    Dedicated Resource

    Data Analysis utilising Python and some of its strongest data manipulation libraries (Pandas, NumPy, etc.), then visualizing and communicating findings through plots using Matplotlib. Also capable of...

    Data AnalysisData ManipulationJupyter NotebookMicrosoft ExcelMicrosoft Excel Pivot Tables

About

Data Analysis Engineer with a data-oriented mindset and passion for finding relations & correlations between quantities, then using that to solve existing and potential problems.

I have a new found passion for data.

Throughout my education, I've always linked the word 'data' with sales, and assumed it did not concern me much as an engineer, but that all ended by the beginning of 2021 when something magical happened to me.
I came across a data analysis scholarship on Udacity, went through a few videos, and now I can't stop yearning for more knowledge on the topic!
It fascinated me how data is in every little detail in our lives, and how I've been analyzing data that interests me all that time without even knowing it.. From school grades, to university exams and even in different games I've played just to find myself collecting tons of data and trying to formulate it and put it into formulas to find the most efficient routes, but now suddenly discovering that a whole field for what I've always done passionately exists was just the spark I needed to get started.

I've learnt writing queries in SQL, working with many tables in Excel through PowerPivot and PowerQuery tools to find insights, taking all of that into Power BI to visualize it and communicate my findings interactively. I've also learnt how to use Python and lots of its strong built-in libraries (Pandas, NumPy, Matplotlib, etc.) to find insights, answer questions and communicate my findings with others. It's a never-ending learning journey for me, and it's only getting started.

Work Terms

I'm available Sunday - Thursday from 12:00 PM to 2:00 AM GMT +2:00 Timezone. For inquiries, feel free to send a message here or on my LinkedIn account and I will get back to you as soon as possible!