Matthias Albert

Matthias studied Systematic Musicology at the University of Hamburg, where he focused on quantitative models of auditory perception. For his master's thesis, he applied multidimensional scaling to inform a timbre perception model and graduated with honors. In the course of this work he developed an interest in working with data and programming, so he went on to substantiate his understanding of these topics by passing several certified programs covering Python, Data Science and Machine Learning at MITx and the University of San Diego.

Before diving into Tableau and Alteryx at the Data School, he has been a proficient contributor to the open source landscape, writing Python scripts for data mining and programmatic fetching from APIs, also touching on Web3 protocols and querying blockchain data. Most recently before joining the Data School, he had designed and maintained a tweet mining solution quantifying engagement metrics of target audiences for a Web3 protocol, which to this day is regularly querying Twitter and appending to the database without fail.

Away from the screen he is passionate about many things, but above all music, which he enjoys listening to as well as performing with his band.

Energy Supplier & Infrastructure Provider (Placement 2)

  • Established a multitude of data sources & dashboards for grid monitoring, management & growth.

  • Supported the development of Tableau Prep workflows & Tableau dashboards across various industry departments.

  • Regular consulting according to visual & technical best practices.

  • Made use of sparse querying using custom SQL to avoid full table scans where possible.

  • Supported the client during internal requirements gathering sessions with other departments.

Sensor Intelligence Provider (Placement 1)

  • Automated monthly time slip data collection for the Controlling department. Set up multiple dashboards for the exploration of different time types according to complex logic in extensive Tableau Prep Flows.

  • Created various datasources from the ground & set up for scheduled execution.

  • Built future-proof dashboards optimizing for usefulness, robustness, interactivity & maintainability.

  • Controlling: Replaced error-prone Excel-based processes with far more performant, secure and scalable solutions using scheduled Tableau Prep Flows & Tableau Server data sources.

  • Spearheaded the use of proper data sources & Tableau dashboards together with the stakeholders within the company.

  • Coached the future maintainer of the new data structures, ETL flows & Tableau Dashboards.

Skills

Data Visualization: Tableau, PowerBI, Matplotlib, Seaborn

Data Preperation: Alteryx, SQL, Python, Pandas, Numpy

Programming: Python, Javascript, general debugging, best practices

Languages: German, English, Spanish

Key competencies

  • Resourcefulness

  • Grasping new topics quickly

  • Logic / architecture

  • Automatization & anticipation of problem areas

  • UI / UX Design

  • Effective and proactive communication

  • Attention to detail

  • Aesthetics

  • Debugging

Certifications

Tableau: Certified Data Analyst

Alteryx: Designer Core Certification

EdX Uni San Diego: Machine Learning Fundamentals

EdX Uni San Diego: Probability & Statistics in Data Science

EdX Uni San Diego: Python for Data Science

MITx: Introduction to Computational Thinking & Data Science

SiB & Other Projects

Climate Data Provider

  • Created Dashboards showing various climate-relevant metrics per location on a grid spanning the whole globe and providing feedback on the previously existing suite of visualizations.

Solar Energy Company

  • Created a heavily paramatrized Tableau dashboard showing potential customers the financial and ecological advantages of switching to solar power & autmomatically creating an offer based on the data entered by the customer.

Provider of Accounting Services

  • Analyzed telephone system data & created an aesthetically pleasing & informative dashboard of key metrics showing difference in the performance of the various departments based oon the time spent in each stage of a phone call (e.g. “answered”, “waiting”, “terminated”).

Experience before Data School

  • Freelance Python Software Developer: Data Mining, automated web scraping, scripted fetching from REST APIs, scheduled execution on AWS EC2 instances

  • Experience with multivariate statistics (PCA, MDS)

  • Studies: Musicology (B.A.) Cultural Anthropology (B.A.) Systematic Musicology (M.A.)

Customer Quotes

“Matthias went way above and beyond what could be expected of a Data School Consultant” (P1)

“How long does that contract with TIL last again?” (P1)

Featured Work

Tableau: Business Expenses Explorer

Tableau: Features of Your Favorite Spotify Tracks

Blog: How To RegEx in Alteryx

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