06.10.2025 aktualisiert

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Senior IT Consultant & BI Specialist, Data Scientist & Lead Analyst in Python, SQL, & R

Berlin, Deutschland
Deutschland +4
info: Deutschland, Österreich, Spanien, Italien, Israel
MSc Social Data Science, AB
Berlin, Deutschland
Deutschland +4
info: Deutschland, Österreich, Spanien, Italien, Israel
MSc Social Data Science, AB

Profilanlagen

CV-Final-2025 EU.pdf

Über mich

I bridge analysis, strategy, and culture—translating complexity into clarity with precision and empathy. My perspective blends American dynamism with European nuance, grounded in integrity, intellect, and a balance of corporate and creative experience.

Skills

With 10 years of experience as a Data Scientist and Business Intelligence Expert, I have successfully delivered freelance and commercial projects for over 20 international organisations across the internet, e-learning, e-commerce, marketing, banking, automotive, retail, electronics, financial, legal, and broadcasting sectors. While specialising in European markets—particularly the DACH region—I have also collaborated globally, analysing trends across the US, UK, Middle East, and Asia.

At heart, I am a published academic, consultant, and programmer fluent in Python, R, and SQL, with working knowledge of Java, JavaScript, HTML, and CSS. Combining quantitative and qualitative expertise, I hold an MSc in Data Science from the University of Oxford and an AB from Dartmouth College.

Based between Berlin, Spain, and the USA, I thrive in multilingual, cosmopolitan environments and am open to remote or semi-remote engagements. I typically work as a freelancer under service or hourly contracts in IT, Data Science, Data Engineering, Market Research, and Business Intelligence. My areas of focus include Statistics, Hypothesis Testing, Predictive Analytics, Machine Learning (Supervised & Unsupervised for Regression, Classification, and Clustering with Parametric and Non-Parametric Algorithms), Natural Language Processing (NLP), Data Architecture & ETL Pipeline Design, Data Collection & Enrichment, API Deployment, Web Tracking, Marketing Mix Modelling, Survey Implementation, Causal Impact & Lift Estimators, Customer Segmentation, Competitive Intelligence, OKR & KPI Structuring, Financial Analysis, Budget Modelling, Process Automation, and Dashboard Development in Looker, Power BI, and Tableau.

Sprachen

DeutschgutEnglischMutterspracheItalienischGrundkenntnisseJapanischGrundkenntnisseSpanischMutterspracheHebräischGrundkenntnisse

Projekthistorie

Senior Information Technology Consultant in Marketing Intelligence

Cheil Worldwide

Marketing, PR und Design

5000-10.000 Mitarbeiter

Working with the SAMSUNG electronics group of Seoul, South Korea via its marketing analytics subsidiary Cheil Worldwide, I completed a short-term marketing intelligence project involving the measurement of absolute cumulative revenue lift per product type on stores with different treatments. Using regression and Naïve-Bayes time-series analysis, I determined the best predictors of historical revenue then calculated overall ROI per store using the attributable lift. Finally, I enriched marketing intelligence capacity by collecting more than 50 ancillary datasets created from both Google Trends and publicly available German statistics. (Python, R, PowerPoint, Tableau, Excel)

Senior Information Technology Consultant in UX & Product

MediaMarktSaturn GmbH

Konsumgüter und Handel

5000-10.000 Mitarbeiter

Working with terabytes of Google Analytics mobile data from their native application in BigQuery, I developed ETL processing
scripts in SQL to mine the nested insights into a functional dataset with hundreds of engineered/coded features. Using Tableau, I then created automatically scheduled reports and dashboards for the UX and consumer application teams. Finally, I supported the famous electronics merchandiser with senior level hiring and mentorship. (Google Analytics, Firebase, BigQuery, SQL, Tableau)

Sports Data Warehouse, Lead Analyst in Software Engineering

Olympics Channel Services

Medien und Verlage

500-1000 Mitarbeiter

As the technical lead of the software engineering team for the 2020 Tokyo Olympics, I managed the largest, oldest, and most
intricately designed sports data warehouse that includes every sport, competition, player/horse, medal, etc. - all broken down to their granular components. The architecture strives to be a unified sports data model with a NoSQL logic able to integrate any new or missing sport into its schema. One of my key tasks was to create Data Tools in Python & Cassandra Query Language to monitor, troubleshoot, and optimise the process of turning real-time match results into Olympic digital canon.

Senior Business Intelligence Consultant

CoachHub

Internet und Informationstechnologie

10-50 Mitarbeiter

Acting as a Senior Business Intelligence consultant for the e-learning and coaching platform based in Berlin, I developed and
maintained existing SQL queries to improve and extend their LookerML model, whilst iterating with stakeholders in the Customer Success and Finance Departments on their strategic data KPI Reporting needs. I clearly documented the provenance of every visualisation, scheduled its automatic reporting, and collaborated with Graphic Designers to customise via LookerML CSS and HTML their strategic, customer-facing embedded-dashboard product in Looker. (SQL, DataGrip, CSS/HTML, Looker, Github)

Data Scientist and Business Intelligence Mentor

CareerFoundry
As a mentor for this e-learning and coding bootcamp platform, I remotely instructed several students 1:1 on topics concerning
Statistics, Excel, SQL, and Python for Data Analysis.

Senior Information Technology in Marketing Intelligence

Zalando SE

Konsumgüter und Handel

1000-5000 Mitarbeiter

Created a script to calculate the revenue and popularity or website traffic lift from brand marketing Christmas campaign launch in Ireland. Helped with business intelligence and data science projects by consulting directly with the Head of Marketing for UK and Ireland on strategy, KPI development, and analytics' visualization via Tableau.

Data Scientist

Trade Republic GmbH

Banken und Finanzdienstleistungen

50-250 Mitarbeiter

For the innovative Berlin bank, I provided data science support on customer-investor segmentation using unsupervised clustering methods of users' financial portfolios to analyze performance trends. I also created regression models describing relationship of app usage and investing habits to underlying business profit. (Statistics, ML, R, Python, Jupyter, SQL, Github)

Senior Analytics Consultant

Digital Motion GmbH

Internet und Informationstechnologie

10-50 Mitarbeiter

During the onset of COVID, I joined a German consultancy firm based in Nordrhein-Westphalen specialising in advanced analytics & micro-consulting services. There, I consulted on data strategy and created solutions for Data Architecture, recommendation engines, web tracking, and coding tutorials for several notable clients like Volkswagen & Redbull.

Lead Data Scientist in Marketing Intelligence

Taxfix GmbH

Banken und Finanzdienstleistungen

50-250 Mitarbeiter

Working directly with the CMO on marketing channel strategy with reports & ad hoc analyses to justify decision making, I
completed several projects: a correlational analysis to optimise marketing channel performance & budgeting; a causal impact analysis of offline brand marketing campaigns on traffic & revenue lift; campaign manager training for using experimental design & hypothesis testing to improve campaign performance; an organic revenue & traffic predictor; an algorithm to determine whether or not two paid marketing channels were cannibalising the other; customer segmentation with k-modes clustering to develop customer personae for targeting and product enrichment; and, finally, a predictor of ROI per channel achieved using time-series regression in R and Python.

Digital Business Analyst

XING AG

Internet und Informationstechnologie

1000-5000 Mitarbeiter

In the Black Unit of the German, career-oriented social network, XING AG, I worked directly with the Managing Directors of its employee-feedback publishing website: kununu.com in Vienna and its Berlin startup: engage - an anonymous feedback tool that helps companies measure employee satisfaction. At XING, I created monthly reports with 'deep dive' and ad hoc analyses for PR, marketing, SEO, and sales teams. I also managed several projects or JIRA tickets regarding data enrichment with APIs, the implementation of partial-string matching to improve data quality, the configuration of an algorithm to value online reviews as an asset in Python, and other correlation and time-series analyses in R. For the engage product, I developed from cradle-to-grave the BI infrastructure: KPI construction, ETL processing in SQL, and strategic dashboards/reports in Tableau.

Data Scientist

Pixsy GmbH

Internet und Informationstechnologie

10-50 Mitarbeiter

Working directly under the CEO and CTO for the Berlin legal-tech that 'finds and fights image theft online', I was responsible for BI and Data Science initiatives like creating Machine Learning pipelines, which included research, Python engineering, and crossfunctional teamwork with developers and account executives. Here, I learned how to feature engineer, troubleshoot ML class bias, use auto-ML methods, and prepare data for investors. On the Business Intelligence side, I built the entire analytics infrastructure from scratch for every department including ~850 visualisations for KPIs using SQL and the visualisation software, Domo.

Data Scientist

Oxford Internet Institute

Internet und Informationstechnologie

10-50 Mitarbeiter

As a member of the Computational Social Science Research Team at Oxford, I used Python, R, and SQL to collect databases for future research & analysed online social trace data & qualitative surveys on a variety of topics from e-learning behaviour to online pornography usage under the leadership of Dr Taha Yasseri.
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Product Analyst & Researcher

Tiltfactor.org

Internet und Informationstechnologie

10-50 Mitarbeiter

At the Digital Humanities and games development lab at Dartmouth College, I focused on using psychological principles to create interactive technologies and systems that positively foster player attitude and behavioural change. Managed quantitative and qualitative data whilst implementing social experiments to better understand values at play in digital media under the supervision of the lab's founder, Professor Dr Mary Flanagan.

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