Muhammad Dimas Abdul Aziz Cakradewa

Professional Background

This is Muhammad—a Data Analytics Consultant with a technical background of mechanical engineering and programming in Python. His interest in programming covers the field of machine learning, exploratory data analysis, inferential statistics, predictive analytics, data clustering, and many more.

Starting his data journey from a Data Analytics Bootcamp, he has been gathering fundamental skills and experiences, both from the Training Phase in The Data School and from his personal projects. He is adept in working on Client Projects to do different kinds of tasks, from inferential statistics, spatial analysis, to creating professional business dashboards. He takes time in trying to understand the data and the business problem, before starting to dive deep into the data and analyze the insights as well as the key performance indicators.

Experience & Projects

Here are some of his experience in working with projects, just to mention a few.

Project with Logistics Company

  • Built an Alteryx workflow to compare real-time Container movements from IoT sensors in the Container, with the predefined routes that go through different countries and cities.
  • Calculating the metrics (distance, duration, costs) of both IoT routes and the predefined routes and visualizing the result as a Tableau dashboard.

Project with Cosmetics Company

  • Analyze the sales of each individual product and the offered packages.
  • Build a business dashboard in Tableau

Project with Insurance Company

  • Built an Alteryx workflow that automates a data extraction process from multiple PDF files to Excel files

Other Personal Projects

  • Analyzing the number of Covid cases in Europe from 2019 to 2023 (Tableau & Power BI)
  • Gold price forecasting based on prices of other stocks and equities (Python)
  • Sport analytics dashboard to visualize the performance of UFC fighters (Tableau)
  • Job recommendation program using machine learning clustering model (Python)
  • Multi-page API calls to retrieve weather information for different cities (Alteryx)
  • Market research using dynamic web scraping to retrieve product information of an online drug store (Python)
  • Automate generating individual reports of students' performance (Python)
  • Conducting predictive analysis to predict apartment rent prices in Berlin area, Germany (Python)

Technical Skills

  • Tableau Dashboard & Tableau Prep
  • Power BI & Power Query
  • Alteryx Designer
  • Python & SQL

Accomplishments

  • Streamlit App-a-Thon winner 2023

Certifications

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