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Franz Much

@franzj43

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Hi there! I'm a Chemical Engineer and a student of Computer Science. Currently I'm a Data Analyst

Guatemala

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What I'm looking for

I aspire to secure a role where I can continually enhance my skills by utilizing various tools and technologies. A dynamic environment that encourages learning and growth is what I aim for in my professional journey.

Hi there! My name is Franz Much. I'm a Chemical Engineer with a passion for Computer Science.
Currently, I'm delving into the world of data analysis, bussiness inteligence, project development, and cybersecurity. Right now I am working as the Assistant to General Management in Mediciones Ambientales. Here, I am in charge of a team, work with customers and also work as a data analyst.
I thrive in collaborative environments, loving to work with people and in teams. My thirst for knowledge is unquenchable, and I'm always eager to expand my skill set.

Experience

Current

Assistant to General Manager / Data Analyst

Current

Mediciones Ambientales S.A.

Jan 2023 - Present (1 year 4 months)

Improved customer satisfaction by automatically classifying e-mails according to the content. This reduced response time by 80%.
40% reduction in report writing by automating calculations, data analysis and visualizations using Excel and programming languages.
Ensured data accuracy and reliability by providing support in results verification and report correction processes.

Teams Python SQL Tableu Power BI R

Laboratory Technician

Cerveceria Centro Americana

Oct 2019 - Dec 2021 (2 years 2 months)

Analyzed non-conforming products, reducing recurring issues by 20% and supplying with actionable insights for management decisions. Prepared comprehensive reports to guide strategic improvements.

Office 365 Python R

Procurement Coordinator

Cerveceria Centro Americana

Jan 2022 - Nov 2022 (10 months)

60% reduction in the preparation of purchase orders thanks to the creation of templates that made the necessary calculations and predictions to maintain the supply of raw materials and packaging material.

Developed models for predicting consumption of raw materials and packaging materials used in the beer, soft drinks, and non-carbonated beverages process with an average accuracy of 85%.

Office 365 Python Power BI