Begaiym Scherer

Data Analyst at Hybrid Financial Ltd.
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Contact Information
us****@****om
(386) 825-5501
Location
CA

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Credentials

  • Advanced Microsoft Power BI
    LinkedIn Learning
    Jan, 2022
    - Nov, 2024
  • Data Visualization: Storytelling
    LinkedIn Learning
    Sep, 2021
    - Nov, 2024
  • Intermediate SQL for Data Scientists
    LinkedIn Learning
    Aug, 2021
    - Nov, 2024
  • Python Functions for Data Science
    LinkedIn Learning
    Aug, 2021
    - Nov, 2024
  • Python for Data Science Essential Training Part 1
    LinkedIn Learning
    Aug, 2021
    - Nov, 2024
  • Python for Data Science Essential Training Part 2
    LinkedIn Learning
    Aug, 2021
    - Nov, 2024
  • Tableau Essential Training
    LinkedIn Learning
    Aug, 2021
    - Nov, 2024

Experience

    • Canada
    • Financial Services
    • 1 - 100 Employee
    • Data Analyst
      • Nov 2021 - Present

      • Provided code routines increased sales department performance by 15% • Created (and distributed - SharePoint) comprehensive reports and analyzed information using Python, SQL, Power Automate, PowerBI, and Microsoft Excel • Investigated performance of machine learning backends to identify critical features for success • Provided code routines increased sales department performance by 15% • Created (and distributed - SharePoint) comprehensive reports and analyzed information using Python, SQL, Power Automate, PowerBI, and Microsoft Excel • Investigated performance of machine learning backends to identify critical features for success

    • Germany
    • Higher Education
    • 100 - 200 Employee
    • Master Thesis
      • May 2020 - Oct 2020

      • Investigated supervised and unsupervised machine learning methods from a theoretical and a practical point of view • Coded an evaluation environment for these methods in Python (using numpy, sklearn, scipy) • Compared the advantages and disadvantages of approaches using artificially generated data • Investigated supervised and unsupervised machine learning methods from a theoretical and a practical point of view • Coded an evaluation environment for these methods in Python (using numpy, sklearn, scipy) • Compared the advantages and disadvantages of approaches using artificially generated data

  • UKT Tübingen
    • Tübingen, Baden-Württemberg, Germany
    • Data analyst in a healthcare co-op (University project)
      • Sep 2018 - Aug 2019

      • Investigated a report database (big data) from a major national hospital to determine links between adverse events and other factors • Detected which factors are related to adverse events and visualized this via PowerBI & Microsoft PowerPoint to communicate complex results to technical and non-technical audiences • Data formatting and cleansing using Microsoft Excel • Investigated a report database (big data) from a major national hospital to determine links between adverse events and other factors • Detected which factors are related to adverse events and visualized this via PowerBI & Microsoft PowerPoint to communicate complex results to technical and non-technical audiences • Data formatting and cleansing using Microsoft Excel

    • Germany
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Procurement/Project Management Assistant
      • Oct 2018 - Apr 2019

      • Conceptualized an award database to improve productivity of multiple departments• Delivered weekly standard reports using Microsoft Excel and Microsoft PowerPoint• Queried available capacity from suppliers

    • International Procurement Intern
      • Apr 2018 - Sep 2018

      • Compiled information for and protocolled multiple award processes from procurement (facilities & machinery) up to several million euros in value• Evaluated questionnaires from customers (20+) and derived improvement suggestions

    • Germany
    • Software Development
    • 700 & Above Employee
    • Bachelor Thesis in Project Purchasing Management
      • Oct 2017 - Feb 2018

      Title of bachelor thesis: Purchase analyses of pump components. • Developed recommendations on how to optimize supplier side production • Informed optimization recommendations via a cost breakdown analysis • Analyzed the cost structure of different product model variants using SPECTRA Title of bachelor thesis: Purchase analyses of pump components. • Developed recommendations on how to optimize supplier side production • Informed optimization recommendations via a cost breakdown analysis • Analyzed the cost structure of different product model variants using SPECTRA

    • Germany
    • Software Development
    • 700 & Above Employee
    • Purchasing Controlling Assistant
      • Mar 2017 - Aug 2017

      • Assembled a tracking list of 50+ items contrasting predicted and real prices to manage funds from individual projects using Microsoft Excel• Compiled material data from multiple (3+) sources to produce the quarterly current forecast• Cleaned and analyzed data for tool planning

    • Project Purchasing Management Intern
      • Sep 2016 - Feb 2017

      • Researched information for and participated in 4o+ technical supplier discussions• Executed production volume comparisons (3+ times) to inform award decisions (Up to several million items per award)• Verified supplier side process optimization via compiling a historical and current cost catalog of 10+ items

  • Karstadt Sport GmbH
    • Karlsruhe, Baden-Württemberg, Germany
    • Sales Assistant
      • Oct 2015 - Sep 2016

      • Communicated solutions for the daily questions and issues of customers • Coordinated and executed stocking of shelves with products from the storage area to ensure accessibility of daily supply • Communicated solutions for the daily questions and issues of customers • Coordinated and executed stocking of shelves with products from the storage area to ensure accessibility of daily supply

Education

  • Reutlingen University
    Master of Science - MS, Business Information Science
    2018 - 2021
  • Karlsruhe University of Applied Sciences
    Bachelor of Science - BS, International Management
    2013 - 2018

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