Senior Manager and Data Scientist | AI and Data Science
Aktualisiert am 07.11.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.12.2024
Verfügbar zu: 100%
davon vor Ort: 20%
Python
Künstliche Intelligenz
Data Scientist
SQL
Predictive Analytics
Predictive Maintenance
RAG
E-Commerce
AWS
Machine Learning
Git
English
full professional proficiency (C1)
German
professional working proficiency (B2.2 - C1)
Spanish
Muttersprache

Einsatzorte

Einsatzorte

Düsseldorf (+75km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Monate
2024-09 - heute

Various Projects

After a five-year tenure I decided to leverage my skills as a contractor to take on diverse projects and clients. These are the services I offer:
  • Performance Analysis: provide financial insights through data analysis to optimize costs, enhance profitability, and inform strategic decision-making.
  • Data Strategy: develop strategies that leverage data and AI to drive business growth and operational efficiency, identifying use cases and advising on new technologies.
  • Data Management & Governance: develop and implement data management and governance frameworks to ensure data quality, security, and integrity, and aligning teams through effective change management.
  • Project Management: prioritize, plan, and execute high-impact data and AI initiatives, providing clear timelines, resource planning, and ensuring successful deployment.
  • AI Product development: develop AI tools, including RAGs, agents, and automated data extraction models, through early prototyping, iterative development, and rigorous testing to ensure optimal performance and reliability.
3 Jahre 11 Monate
2021-01 - heute

Gathered financial data from multiple sources

Financial Data Analyst python pandas numpy ...
Financial Data Analyst
  • 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
python pandas numpy scikit-learn shap catboost openAI openAI functions llama-index yfinance backtrader streamlit pytest mlflow
2 Monate
2024-10 - 2024-11

Financial Analysis of Public Companies

Python AWS [Lambda S3 ...

Developed an automated data pipeline to analyze financial data from over 14,000 publicly listed companies using an event-driven, almost-exclusively serverless architecture on AWS. Triggered by new financial statement availability, the ETL pipeline extracts key performance indicators (KPIs) and consolidates data for automated company analysis, shared via email. Additionally, created a streamlit interface for accessing processed data locally, supporting proactive research and alert inspection. See report here: https://julio-lahoz.de/financial-analysis-report.html

Python AWS [Lambda S3 SQS SES CloudWatch EventBridge] terraform streamlit yfinance fin- hub HTML git
Python AWS [Lambda S3 SQS SES CloudWatch EventBridge] terraform streamlit yfinance fin- hub HTML git
Berufliches Portfolio
Düsseldorf
2 Monate
2024-09 - 2024-10

End-to-End Multilingual RAG System with AWS and Claude models

Python AWS Bedrock llama- index ...

Developed an end-to-end multilingual Retrieval-Augmented Generation (RAG) system to provide answers to common citizen questions. Designed and imple- mented the backend and frontend components, created an evaluation dataset, established an evaluation pipeline, designed guardrails, and deployed the RAG in AWS. See the report and prototype: https://julio-lahoz.de/RAG-report.html

Python AWS Bedrock llama- index AWS Lambda AWS API Gateway Pydantic Git prompt engineering REST API React HTML Claude LLMs Cohere Mul- tilingual Embeddings
Python AWS Bedrock llama- index AWS Lambda AWS API Gateway Pydantic Git prompt engineering REST API React HTML Claude LLMs Cohere Mul- tilingual Embeddings
Berufliches Portfolio
Düsseldorf
2 Jahre 2 Monate
2022-02 - 2024-03

Managed a multi-million budget, directing three inter-disciplinary teams

Senior Director ? Discovery & Engagement python SQL openAI ...
Senior Director ? Discovery & Engagement
I was promoted to Senior Director and added a third team to my unit, taking global responsibility of Discovery & Engagement activities at RTL and later diving into genAI. Team size increased from 12 to 25 members.
  • Managed a ?2M budget, developing 10+ data products generating ?4M annual revenue.
  • Led 3 Project Managers and a team of 22 data scientists, data engineers and developers.
  • Championed AI adoption, developing and deploying 2 AI tools used by 6 non-technical departments.
  • Served as internal consultant, partnering with a 2000-employee business unit to optimize cost structures and identify AI-driven cost savings.
  • Fostered a result-oriented culture where 90% team members felt more committed, 85% understood company goals better, and 27% felt more motivated.
  • Reduced monthly cloud costs by 45% through effective leadership and clear goal-setting.
  • Created Service Level Agreements (SLAs) to minimize risks and ensure optimal service delivery.
python SQL openAI streamlit transformers BERT pandas pytest docker PowerBI Confluence Jira Miro
RTL Deutschland GmbH
6 Monate
2021-10 - 2022-03

Strategically defined KPIs and designed comprehensive reporting dashboards

Director python SQL pandas ...
Director
  • Strategically defined KPIs and designed comprehensive reporting dashboards to provide a holistic view of personalization and recommendation efforts
  • Led the development of value trees to identify key levers for profit and provided actionable insights to top management
  • Co-led data procurement negotiations with an international streaming music company
python SQL pandas streamlit GCP Confluence Jira Miro
RTL Deutschland GmbH
1 Jahr
2021-04 - 2022-03

Personalisation & Recommendation

Director
Director
In my first managerial assignment I directed the development of personalized solutions at company level, guided two multidisciplinary teams and increased team size from 7 to 12 members.
  • Led the personalization strategy, creating a roadmap aligned with business objectives & user needs, resulting in a 30% increase in conversion rates.
  • Fostered change management for two new teams, establishing clear vision & mission.
  • Defined KPIs and value trees to identify key profit levers for teams, inspiring a 600 employee business unit to adopt a structured approach.
6 Monate
2021-04 - 2021-09

Implemented ROI-based prioritisation for several projects

Head of Data Science python SQL pandas ...
Head of Data Science
  • Implemented ROI-based prioritisation for several projects to assist stakeholders in their decisionmaking
  • Established the agile data science workflow to plan the work of data scientists within SCRUM
python SQL pandas streamlit GCP Confluence Jira Miro
RTL Deutschland GmbH
1 Jahr
2020-04 - 2021-03

Designed and developed SmartArt?s Proof of Concept

Data Science Lead VOD python SQL pandas ...
Data Science Lead VOD
  • Designed and developed SmartArt?s Proof of Concept 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
  • Fostered code review, pair programming and unit testing among the data science team to streamline model deployments
  • Developed an automated pipeline to reduce model size by more than 90% without sacrificing model performance
python SQL pandas numpy scikit-learn xgboost shap great expectations panel streamlit transformers BERT pytest plotly guildAI docker AWS
RTL Deutschland GmbH
1 Jahr 1 Monat
2019-03 - 2020-03

Developed collaborative filtering, content-based and hybrid recommenders

Senior Data Scientist python pyspark SQL ...
Senior Data Scientist
  • 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
  • Advised on the collection of experimental data for the development of new predictive models
python pyspark SQL pandas numpy scikit-learn xgboost shap pytest AWS
RTL Deutschland GmbH

Aus- und Weiterbildung

Aus- und Weiterbildung

1 Monat
2024-08 - 2024-08

AWS Certified AI Practitioner

AWS Certified AI Practitioner, Amazon Web Services
AWS Certified AI Practitioner
Amazon Web Services
3 Monate
2024-06 - 2024-08

AWS Solutions Architect

AWS Certified Solutions Architect, Amazon Web Services
AWS Certified Solutions Architect
Amazon Web Services
3 Monate
2024-04 - 2024-06

Data Strategy & Management

Certified Data Management Professional (CDMP), Data Management Association International
Certified Data Management Professional (CDMP)
Data Management Association International
4 Monate
2021-09 - 2021-12

Leadership and Management

Strategic Leadership and Management Specialisation, University of Illinois at Urbana-Champaign on Coursera
Strategic Leadership and Management Specialisation
University of Illinois at Urbana-Champaign on Coursera
2 Jahre 2 Monate
2015-02 - 2017-03

PhD in Computational Medicine

Imperial College London
Imperial College London

Kompetenzen

Kompetenzen

Top-Skills

Python Künstliche Intelligenz Data Scientist SQL Predictive Analytics Predictive Maintenance RAG E-Commerce AWS Machine Learning Git

Produkte / Standards / Erfahrungen / Methoden

Profile:

Senior AI and Data Manager with over 11 years of experience specializing in transforming data into value across various industries. Proven track record in leading AI adoption projects, developing data products, and managing complex AI initiatives with positive ROIs. Experienced in collaborating with diverse stakeholders, including business teams and data scientists, to integrate AI technologies into business processes. Strong leadership skills, having led teams of up to 25 individuals and fostering a result-oriented culture that improves motivation and efficiency.
  • Senior Data Scientist and Senior Manager with over a decade of experience in diverse industries.
  • Started my early career as a Pharma professional, focusing on mathematical modeling and optimisation.
  • Fascinated by the intersection of technology and data, I transitioned into business consultancy and eventually evolved into a seasoned data scientist and manager.
  • I bring a robust set of skills covering both project and people management, along with hands-on development proficiency. Pragmatic and goal-oriented, I have a track record of delivering solutions that meet time and budget constraints whilst keeping teams aligned during the complete project journey. 
  • Let?s connect and explore how my skills and experience can contribute to your goals!


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


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


Quantitative modeling:

  • mechanistic modeling
  • ODE- and DDE-based modeling
  • mathematical optimisation
  • parameter estimation
  • identifiability and sensitivity analyses


AI & Data Science:

  • mlflow
  • python (openAI API, anthropic API, llama-index, langchain, transformers, scikit-learn, xgboost, shap, implicit, pandas, numpy, pytest)
  • openCV
  • Neural Image Assessment
  • pyspark
  • great expectations
  • R (caret, dplyr, FME, doParallel)
  • guildAI


Cloud:

  • AWS (Bedrock, Lambda, API Gateway, S3, SQS, Athena, IAM)
  • GCP


Data visualization:

  • PowerBI
  • python (streamlit, panel, plotly, seaborn)
  • R (R Shiny, ggplot2)


Management and Communication:

  • MS PowerPoint and MS Excel 
  • Jira
  • Confluence
  • Miro


Other:

  • gitlab
  • terraform
  • poetry
  • VS code
  • docker
  • bash
  • draw.io
  • html
  • ReAct

Einsatzorte

Einsatzorte

Düsseldorf (+75km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Monate
2024-09 - heute

Various Projects

After a five-year tenure I decided to leverage my skills as a contractor to take on diverse projects and clients. These are the services I offer:
  • Performance Analysis: provide financial insights through data analysis to optimize costs, enhance profitability, and inform strategic decision-making.
  • Data Strategy: develop strategies that leverage data and AI to drive business growth and operational efficiency, identifying use cases and advising on new technologies.
  • Data Management & Governance: develop and implement data management and governance frameworks to ensure data quality, security, and integrity, and aligning teams through effective change management.
  • Project Management: prioritize, plan, and execute high-impact data and AI initiatives, providing clear timelines, resource planning, and ensuring successful deployment.
  • AI Product development: develop AI tools, including RAGs, agents, and automated data extraction models, through early prototyping, iterative development, and rigorous testing to ensure optimal performance and reliability.
3 Jahre 11 Monate
2021-01 - heute

Gathered financial data from multiple sources

Financial Data Analyst python pandas numpy ...
Financial Data Analyst
  • 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
python pandas numpy scikit-learn shap catboost openAI openAI functions llama-index yfinance backtrader streamlit pytest mlflow
2 Monate
2024-10 - 2024-11

Financial Analysis of Public Companies

Python AWS [Lambda S3 ...

Developed an automated data pipeline to analyze financial data from over 14,000 publicly listed companies using an event-driven, almost-exclusively serverless architecture on AWS. Triggered by new financial statement availability, the ETL pipeline extracts key performance indicators (KPIs) and consolidates data for automated company analysis, shared via email. Additionally, created a streamlit interface for accessing processed data locally, supporting proactive research and alert inspection. See report here: https://julio-lahoz.de/financial-analysis-report.html

Python AWS [Lambda S3 SQS SES CloudWatch EventBridge] terraform streamlit yfinance fin- hub HTML git
Python AWS [Lambda S3 SQS SES CloudWatch EventBridge] terraform streamlit yfinance fin- hub HTML git
Berufliches Portfolio
Düsseldorf
2 Monate
2024-09 - 2024-10

End-to-End Multilingual RAG System with AWS and Claude models

Python AWS Bedrock llama- index ...

Developed an end-to-end multilingual Retrieval-Augmented Generation (RAG) system to provide answers to common citizen questions. Designed and imple- mented the backend and frontend components, created an evaluation dataset, established an evaluation pipeline, designed guardrails, and deployed the RAG in AWS. See the report and prototype: https://julio-lahoz.de/RAG-report.html

Python AWS Bedrock llama- index AWS Lambda AWS API Gateway Pydantic Git prompt engineering REST API React HTML Claude LLMs Cohere Mul- tilingual Embeddings
Python AWS Bedrock llama- index AWS Lambda AWS API Gateway Pydantic Git prompt engineering REST API React HTML Claude LLMs Cohere Mul- tilingual Embeddings
Berufliches Portfolio
Düsseldorf
2 Jahre 2 Monate
2022-02 - 2024-03

Managed a multi-million budget, directing three inter-disciplinary teams

Senior Director ? Discovery & Engagement python SQL openAI ...
Senior Director ? Discovery & Engagement
I was promoted to Senior Director and added a third team to my unit, taking global responsibility of Discovery & Engagement activities at RTL and later diving into genAI. Team size increased from 12 to 25 members.
  • Managed a ?2M budget, developing 10+ data products generating ?4M annual revenue.
  • Led 3 Project Managers and a team of 22 data scientists, data engineers and developers.
  • Championed AI adoption, developing and deploying 2 AI tools used by 6 non-technical departments.
  • Served as internal consultant, partnering with a 2000-employee business unit to optimize cost structures and identify AI-driven cost savings.
  • Fostered a result-oriented culture where 90% team members felt more committed, 85% understood company goals better, and 27% felt more motivated.
  • Reduced monthly cloud costs by 45% through effective leadership and clear goal-setting.
  • Created Service Level Agreements (SLAs) to minimize risks and ensure optimal service delivery.
python SQL openAI streamlit transformers BERT pandas pytest docker PowerBI Confluence Jira Miro
RTL Deutschland GmbH
6 Monate
2021-10 - 2022-03

Strategically defined KPIs and designed comprehensive reporting dashboards

Director python SQL pandas ...
Director
  • Strategically defined KPIs and designed comprehensive reporting dashboards to provide a holistic view of personalization and recommendation efforts
  • Led the development of value trees to identify key levers for profit and provided actionable insights to top management
  • Co-led data procurement negotiations with an international streaming music company
python SQL pandas streamlit GCP Confluence Jira Miro
RTL Deutschland GmbH
1 Jahr
2021-04 - 2022-03

Personalisation & Recommendation

Director
Director
In my first managerial assignment I directed the development of personalized solutions at company level, guided two multidisciplinary teams and increased team size from 7 to 12 members.
  • Led the personalization strategy, creating a roadmap aligned with business objectives & user needs, resulting in a 30% increase in conversion rates.
  • Fostered change management for two new teams, establishing clear vision & mission.
  • Defined KPIs and value trees to identify key profit levers for teams, inspiring a 600 employee business unit to adopt a structured approach.
6 Monate
2021-04 - 2021-09

Implemented ROI-based prioritisation for several projects

Head of Data Science python SQL pandas ...
Head of Data Science
  • Implemented ROI-based prioritisation for several projects to assist stakeholders in their decisionmaking
  • Established the agile data science workflow to plan the work of data scientists within SCRUM
python SQL pandas streamlit GCP Confluence Jira Miro
RTL Deutschland GmbH
1 Jahr
2020-04 - 2021-03

Designed and developed SmartArt?s Proof of Concept

Data Science Lead VOD python SQL pandas ...
Data Science Lead VOD
  • Designed and developed SmartArt?s Proof of Concept 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
  • Fostered code review, pair programming and unit testing among the data science team to streamline model deployments
  • Developed an automated pipeline to reduce model size by more than 90% without sacrificing model performance
python SQL pandas numpy scikit-learn xgboost shap great expectations panel streamlit transformers BERT pytest plotly guildAI docker AWS
RTL Deutschland GmbH
1 Jahr 1 Monat
2019-03 - 2020-03

Developed collaborative filtering, content-based and hybrid recommenders

Senior Data Scientist python pyspark SQL ...
Senior Data Scientist
  • 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
  • Advised on the collection of experimental data for the development of new predictive models
python pyspark SQL pandas numpy scikit-learn xgboost shap pytest AWS
RTL Deutschland GmbH

Aus- und Weiterbildung

Aus- und Weiterbildung

1 Monat
2024-08 - 2024-08

AWS Certified AI Practitioner

AWS Certified AI Practitioner, Amazon Web Services
AWS Certified AI Practitioner
Amazon Web Services
3 Monate
2024-06 - 2024-08

AWS Solutions Architect

AWS Certified Solutions Architect, Amazon Web Services
AWS Certified Solutions Architect
Amazon Web Services
3 Monate
2024-04 - 2024-06

Data Strategy & Management

Certified Data Management Professional (CDMP), Data Management Association International
Certified Data Management Professional (CDMP)
Data Management Association International
4 Monate
2021-09 - 2021-12

Leadership and Management

Strategic Leadership and Management Specialisation, University of Illinois at Urbana-Champaign on Coursera
Strategic Leadership and Management Specialisation
University of Illinois at Urbana-Champaign on Coursera
2 Jahre 2 Monate
2015-02 - 2017-03

PhD in Computational Medicine

Imperial College London
Imperial College London

Kompetenzen

Kompetenzen

Top-Skills

Python Künstliche Intelligenz Data Scientist SQL Predictive Analytics Predictive Maintenance RAG E-Commerce AWS Machine Learning Git

Produkte / Standards / Erfahrungen / Methoden

Profile:

Senior AI and Data Manager with over 11 years of experience specializing in transforming data into value across various industries. Proven track record in leading AI adoption projects, developing data products, and managing complex AI initiatives with positive ROIs. Experienced in collaborating with diverse stakeholders, including business teams and data scientists, to integrate AI technologies into business processes. Strong leadership skills, having led teams of up to 25 individuals and fostering a result-oriented culture that improves motivation and efficiency.
  • Senior Data Scientist and Senior Manager with over a decade of experience in diverse industries.
  • Started my early career as a Pharma professional, focusing on mathematical modeling and optimisation.
  • Fascinated by the intersection of technology and data, I transitioned into business consultancy and eventually evolved into a seasoned data scientist and manager.
  • I bring a robust set of skills covering both project and people management, along with hands-on development proficiency. Pragmatic and goal-oriented, I have a track record of delivering solutions that meet time and budget constraints whilst keeping teams aligned during the complete project journey. 
  • Let?s connect and explore how my skills and experience can contribute to your goals!


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


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


Quantitative modeling:

  • mechanistic modeling
  • ODE- and DDE-based modeling
  • mathematical optimisation
  • parameter estimation
  • identifiability and sensitivity analyses


AI & Data Science:

  • mlflow
  • python (openAI API, anthropic API, llama-index, langchain, transformers, scikit-learn, xgboost, shap, implicit, pandas, numpy, pytest)
  • openCV
  • Neural Image Assessment
  • pyspark
  • great expectations
  • R (caret, dplyr, FME, doParallel)
  • guildAI


Cloud:

  • AWS (Bedrock, Lambda, API Gateway, S3, SQS, Athena, IAM)
  • GCP


Data visualization:

  • PowerBI
  • python (streamlit, panel, plotly, seaborn)
  • R (R Shiny, ggplot2)


Management and Communication:

  • MS PowerPoint and MS Excel 
  • Jira
  • Confluence
  • Miro


Other:

  • gitlab
  • terraform
  • poetry
  • VS code
  • docker
  • bash
  • draw.io
  • html
  • ReAct

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