Personal Information
- Name: Maxim Cheatle
- Email: maxim.cheatle@gmail.com
Education
MSc Management, London Business School
2022-2023
- Merit Scholar
- Degree Focus: Data Science, Digital Organizations
BSc Geography with Economics, London School of Economics
2019-2022
- First Class Honours
- Degree Focus: Economics, Econometrics, Data Analytics
Professional Experience
Business Analyst Intern, Amazon
May-Sep 2022
I joined the EU AMZL ACES On Road Productivity team which is responsible for the constant improvement of Amazon’s delivery services. While exposing myself to the principles of Amazon’s data-backed decision making, I also gathered great insights into how large corporations can constantly adapt.
- Delivered significant cost savings by performing analysis of non-compliant routing across Europe and collaborating with stakeholders to re-work the EU routing process across the continent.
- Generated tangible productivity improvement of a specific delivery service type, through statistical analysis, financial modelling and alignment of key cross-organisation stakeholders.
- Engaged in delivery station consulting during continental problem solving conferences in Rome and Milan with view to improve KPI performance and process standarisation.
Operations Management Intern, Flymble
Apr-Jul 2021
Interning at Flymble gave me my first professional experience of a high-paced tech startup. I was exposed to all key operations at the company, helping define my career path as I discovered what I enjoyed.
- Responsible for data-driven root cause problem solving to incrementally improve user experience.
- Created Tableau dashboards to monitor project critical KPIs.
- Engaged in key stakeholder/partner negotiations and liaison.
- Developed price competition database for identification and comparison across global markets.
Skills
- Programming languages: SQL (Advanced), R (Advanced), Python (Beginner)
- Tools: Excel (Advanced), Tableau (Intermediate), Git (Intermediate), Amazon Redshift (Intermediate)
- Principles: Statistics, Regression, Machine Learning, Web Scraping