Christian Dietrich Email & Phone Number

Leipzig, Sn, De

Ludwigsburg, Baden-Württemberg, Deutschland

instagrid builds the world's most advanced portable power supply without direct emissions to enable electrical freedom for everyone. As one of the world's leading mobile power infrastructure startups, instagrid is an inspiring and exciting place to work.

London, England, Vereinigtes Königreich

LSE Data Analytics Career Accelerator intensive program until 15/09/23. Honing analytical skills by performing hands-on data analyses on real-world projects and business use cases:360 degree online shop analysis: - Imported, cleaned and transformed online sales data with Python and R, using Pandas, Numpy, dplyr and tidyverse- Trained and tested different linear regression models to make predictions, transformed the data and fine tuned the models using SMOTE, min-max normalization, variance inflation factors (VIF)and Preusch-Pagan-testing with Python libraries sklearn and statsmodels- Performed sentiment analysis, using NLP (natural language processing), including tokenization and pre-processing of text data using nltk, TextBlob and WordCloud- Prepared visualizations in Python and R, leveraging matplotlib, seaborn, plotly and ggplot2- Leveraged R for further predictive modeling (regression) and data exploration (i.e. determining normality using Shapiro-Wilk-tests, kurtosis and skewness)Breast cancer detection:- Trained and tested different classification algorithms on a breast cancer dataset with the objective to evaluate which model delivers the highest predictive power- Imported, explored and pre-processed the data, this included addressing issues like multicollinearity, heteroscedasticity, the balancing of target variables with SMOTE or the normalization of X-values with min-max-scaling, using Pythons imblearn and statsmodel libraries- Fitted a decision tree, random forest and support vector machine (SVM) model, as well as a binary logistic regression model, using scikit-learn (sklearn)- Visualized and presented findings with matplotlib and seaborn, evaluated predictive power with confusion matrices from scikit-learn- Provided a detailed report of the analytical approach and chose a specific model to deploy to best meet the objectives criteriaNational Health System (NHS) utilization and appointment attendance analysis using Python, Excel and SQL.

Leipzig (Stadt), Sachsen

At the age of 24, I seized the opportunity to start my own company and opened my first quick-service restaurant in the city center of Leipzig. Ten years later, I owned four shops in three cities in prime locations with a team size peaking at around 70 employees. With a strict people and product-first approach, and without ever losing the focus on the customer, I was not only able to overcome the hurdles of the Covid19-pandemic but also leveraged the shift in demand to deploy a well-performing delivery strategy.Responsible for strategic decision-making as a multi-unit franchisee in my region, my work included streamlining internal processes, pre-processing of financial data to create financial statements, acquiring subsidies for new store openings, the preparation of forecasts and serving as a first point of contact for banks, government and external consultants. The opening of new subsidiaries and implementation of strategies and guidelines of the franchisor sharpened by project management skills, including calculations, monitoring and controlling in every project phase.During my time at dean&david, I already had the chance to lay the foundations for a later development of my analytical skills, this included:- Tracking and analyzing spatial data to streamline delivery services and cut cost- Overseeing analyses to determine new store locations, including different forms of location research, i.e., footfall analysis - Working in a project group with the headquarter to define strategic price directions based on historical data and future estimates- Leveraging customer data to identify key accounts and actively sell our products tailored to the needs of these customer groups- Using historical data to determine staff levels by forecasting revenues

Postgraduate Degree, Data Analytics Career Accelerator, Distinction

Completed LSE Data Analytics Career Accelerator program focusing on statistical analysis, data visualization, machine learning, and big.

Master Of Science - Ms, Finance, Accounting & Taxation, 1,7 / B+

Graduated about Blockchain, Cryptoassets and Decentralized Finance (DeFI), mainly researching on volatilities and correlations of digital.

Bachelor Of Arts - Ba, Betriebswirtschaftslehre, 1,7 / B+

Graduated with a case study about the influence of governmental aids on a quick-service-restaurant-company during COVID-19 pandemic..

Fachmann Für Systemgastronomie / Catering Expert, 1,9

Wirtschaftswissenschaften