Data & AI Advisor | Data Scientist | CDMP
- Verfügbarkeit einsehen
- 0 Referenzen
- 80‐100€/Stunde
- 40211 Düsseldorf
- Europa
- es | en | de
- 18.11.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
4/2021 – 3/2024
Tätigkeitsbeschreibung
- Managed a multi-million budget, directing three inter-disciplinary teams of 25 members in total and implementing OKRs to drive productivity and align goals with company's strategy.
- Served as an internal consultant and performance manager, partnering with business units to optimise cost structures and pinpoint AI-driven opportunities for enhanced cost efficiency
- Championed the adoption of AI within the organisation by developing and deploying multiple AI tools, including a prompt creation assistant and a genAI tool for multimodal media production
- Supervised the development of over 10 data products, resulting in engagement uplifts ranging from 150% to 400%
Data Science, Management (allg.), Python
4/2021 – offen
Tätigkeitsbeschreibung
- Gathered financial data from multiple sources, including financial statements and market data, ensuring data accuracy, completeness, and standardisation
- Demonstrated advanced proficiency in data manipulation and feature engineering utilising python
- Produced a comprehensive app with visualisations summarising financial findings and insights for 20.000+ companies
- Created a dynamic financial modeling app for automated DCF, economic profit, and customisable financial models, streamlining parameter adjustments for enhanced financial analysis and scenario planning.
- Conducted risk assessments and sensitivity analyses on company valuations to assist in informed decision-making
- Implemented and fine-tuned a Retrieval Augmented Generation (RAG) system to interact with 10-K financial statements
Large Language Models, Python
3/2019 – 3/2021
Tätigkeitsbeschreibung
Designed a tool for the creation of hyper-personalised images, which led to an independent project that garnered a seven-figure funding
Designed and built the Customer Base Simulator PoC, and analytics tool to track customer flows and simulate long-term effects of CRM campaigns
Developed collaborative filtering, content-based and hybrid recommenders. These recommenders rank among the top carousels in our products
Implemented several predictive models that helped to decrease customer contact rates by 50%
Clustered customers according to behavioural and contractual variables to personalise e-mail campaigns
SQL, Python, Amazon Web Services (AWS)
10/2017 – 2/2019
Tätigkeitsbeschreibung
- Developed propensity models to identify potential subscribers and built content-based recommender systems for streaming platforms
- Conducted clinical trial study feasibility leveraging real-world evidence data
- Enabled and implemented analytics and data science use cases on client’s new cloud data platform
- Designed the industrialisation roadmaps for the successful deployment of PoCs
R (Programmiersprache), SQL, Python, Amazon Web Services (AWS)
11/2013 – 11/2016
Tätigkeitsbeschreibung
- Analysed and visualised data, formulated and tested hypotheses and presented at international conferences
- Led two research projects and collaborated on another two. See publications here.
- Developed mathematical models of the immune system and help to identify unknown parameters
- Implemented PBPK models to describe the kinetics of xenobiotics in humans
R (Programmiersprache)
Ausbildung
Imperial College London
Weitere Kenntnisse
Data Science & Artificial Intelligence: predictive modeling, recommender systems, clustering, data analysis & visualisation, natural language processing, image quality assessment, semantic search, data validation, prompt engineering, openAI functions, RAGs, AI-powered conversational agents.
Project & People management: leading by objectives, OKR implementation, OKR planning, ROI-based prioritisation, building effective teams, negotiation, change management, public speaking, SCRUM, Agile Development, budget development, resource allocation.
Quantitative modeling: mechanistic modeling, ODE- and DDE-based modeling, mathematical optimisation, parameter estimation, identifiability and sensitivity analyses.
Persönliche Daten
- Spanisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Fließend)
- Europäische Union
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