Philipp Grunert-Data Scientist & Data Engineer

Core Competencies

• Data Science, Data Mining, Statistics, Big Data, Data Engineering, Reporting, Analytical Model Development, Customer And Business Analytics, Scoring, Building Analytical Business Models
• Forecasting, Optimization, Simulations, Analytics Processes, Automations, Cloud, Analytics Setup And Quick Wins, Llm, Nlp

Tools

• Python, Sas, R, Spss, Stata, Statistica, Knime, Rapidminer, Powerbi, Tableau, Sql, Streamlit, Flask, Dash, Kubeflow

Industries

• Retail B2c, Retail B2b, Finance, Insurance, Health, Telco, Media, Transport, Industry, E-commerce

Expertise – Analytical Crm

• Model Development, Deployment, Automated Production, Scoring, Forecasting, Uplift Modeling, Customer Segmentation, Customer Value Forecasting, Churn Prevention, Cross- And Up-selling, New Customer Acquisition, Customer Reactivation, Response Optimization, Campaign Selection, Campaign Evaluation, Campaign Optimization, Nlp And Llm Models, Campaign Management, Driver Analyses, Media Mix Models, Customer Journey Analyses, Cex And Nps Models, Social Media Analytics, Web Analytics, Geo Analyses, Lead Scoring, Predictive Maintenance, Customer Lifetime Value (Clv) Calculations, Sentiment Analysis, Market Basket Analysis, Recommendation Engines, Multi-channel Analyses, Time Series Analysis, Anomaly Detection, Event-driven Marketing, Attribution Modeling, Retargeting, Customer Experience Measurement, Price Optimization, Real-time Analytics

Expertise – Business Analytics

• Forecasting, Simulations, Business Cases, Cost-benefit Models, Optimization, Potential Analyses, Budget Controls, Predictive Modelling, Data Mining, Driver Analyses, Rca – Root Cause Analysis, Operations Research, Geographic Models, Market Models, Process Mining, Performance Management, Analytical Decision Theory, Market Research (Survey Analysis), Deriving Recommendations From Kpis, Benchmarking, Scenario Analyses, Dashboarding, Ad-hoc Analyses, Financial Modelling, Risk Analyses, Monte Carlo Simulations, Value Driver Trees, Time Series Analyses, Portfolio Analyses, Sensitivity Analyses, Kpi Monitoring, Balanced Scorecard, Exploratory Data Analysis (Eda), Hypothesis Testing, Data Visualization, Business Process Modelling, Log File Analytics

Expertise – Risk Management

• Risk Management Strategies, Risk-value Balance, Maturity Assessments In Risk Management, Risk Indicator Systems, Risk-based Pricing, Basel Ii Compliant Risk Scoring, Pd, Lgd, Ead, Rating, Application Management, Limit Management, Credit Management, Collection Processes, Fraud Prevention, Profit Based Offering, Stress Tests And Scenario Analyses, Operational Risk Management, Compliance Management, Risk Identification And Assessment, Risk Mitigation Techniques, Credit Risk Analysis, Market Risk Management, Liquidity Risk Management, Reputational Risk Analysis

Expertise – Business Intelligence

• Migrations Between Languages, Standard Report Development, Data Quality Analysis, Reporting, Kpi (Key Performance Indicator) Definition, Olap, Business Scorecard, Planning And Budgeting, Data Integration, Dashboards, Ad-hoc Reporting, Data Warehousing, Etl Processes (Extract, Transform, Load), Self-service Bi, Data Governance, Advanced Analytics, Mobile Bi, Real-time Reporting, Drill-down Analyses, Data Visualization, Predictive Analytics, Big Data Analytics, Data Lakes, Benchmarking, Geographic Information Systems (Gis), Cloud Bi, Natural Language Processing (Nlp) For Bi

Expertise – Data

• Database Architecture, Data Modelling, Analytical Data Marts, Abts, Automations, Cloud, Docker, Data Integration, Data Cleaning, Data Lakes, Etl Processes (Extract, Transform, Load), Data Governance, Metadata Management, Big Data Technologies, Nosql Databases, Data Migration, Api Development, Real-time Data Processing, Data Lineage, Data Catalogs, Master Data Management (Mdm), Scalability, Stream Processing, Kubernetes

Expertise – Data Privacy

• Certification, Support In Building Privacy-compliant Analytics Marts And Use Cases, Coordination With Data Protection Officers

Method Competence – Analytics/statistics/data Mining/data Science Methods

• Machine Learning, Deep Learning, Reinforcement Learning, Artificial Intelligence, Regression Analyses, Multi-category And Multinomial Models, Decision Trees, Random Forests, Gbm, Gbc, Xgboost, Neural Networks, Simulations (Monte Carlo), Linear/quadratic Optimization, Time Series Analysis (Xarima-x, (I, E)-garch-(m), Smoothers, Forecasting Models, Econometrics, Panel Data Models), Cluster Analyses, Discriminant Analyses, Factor Analyses, Mds, Conjoint Analyses, Survival Analyses, Genetic Algorithms, Association Analysis, Bagging, Boosting, Support Vector Machines, Bootstrapping, Cost-benefit Analysis, Cost-effectiveness Analysis, Text Mining, Natural Language Processing (Nlp), Large Language Models (Llm), Experimental Design, Sampling, Social Media Analysis, Web Mining And Crawling, Bayesian Inference, A/b Testing, Principal Component Analysis (Pca), Hierarchical Clustering, Anomaly Detection, Gradient Descent, K-means Clustering, Collaborative Filtering, Recommendation Systems, Image Processing, Sentiment Analysis, Transfer Learning, Feature Engineering, Cross-validation, Dimensionality Reduction, Causal Inference, Bayesian Networks, Markov Chains, Hidden Markov Models

Method Competence – Leadership In Data Science Environment

• Team Leadership, Technical And Disciplinary Management, Also Interim At Clients (In Various Companies Up To 10 People), Managing Director, Company Founder, Interim Manager, Change Management, Coaching And Mentoring, Strategic Planning For Analytics And Data Science, Project Management, Decision Making, Staff Development In Data Science, Corporate Culture Development, Resource Management, Stakeholder Management, Innovation Promotion, Team Building, Goal Setting And Evaluation Skills, Agile Leadership, Network Building And Maintenance

Method Competence – Project Management In Data Science Environment

• Project Management (Traditional And Agile), Scrum, Kanban, Design Thinking, Scrum Master, Product Owner, Project Management Methodology, Process Models, Project Planning And Control, Risk Management, Budget And Cost Control, Milestone Planning, Resource Management, Stakeholder Management, Communication Management, Quality Management, Change Management, Project Controlling, Time Management, Project Closure And Documentation, Conflict Management, Requirements Management, Agile Coaching, Hybrid Project Management

Method Competence – Strategy For Data Science

• Roadmap Creation For Data Science Departments, Consulting And Coaching Up To C-level Of Major Dax Companies, Building Multiple Data Science Departments And Companies, Strategic Planning And Execution, Competitive Analysis, Market And Trend Analyses, Corporate Development, Innovation Management, Business Model Development, Transformation Management, Analytical Support For Mergers & Acquisitions (M&a), Kpi Definition And Monitoring, Swot Analysis, Risk Analysis And Assessment, Benchmarking

Method Competence – Communication

• Presentations, Moderation, Conversation Techniques, Workshop Facilitation, Analytics Storytelling, Support In Recruiting

Method Competence – Process Management

• Process Analysis, Process Mining, Process Optimization And Simulation, Transformation Processes From Reporting To Analytics And Then To Data Science Company, Implementation Of Best Practices, Interface Management, Quality Management, Performance Measurement, Risk And Compliance Management

Method Competence – Architecture And Role Concepts

• Building Data Processes, Setting Up Data Science Architectures Including Role Concepts, Full Automation Including Model Versioning

It Competence – Analytics/reporting Tools

• Python (Pandas, Numpy, Matplotlib, Tensorflow, Pytorch, Keras, Pyspark, Streamlit, Dash, Flask), R (Rstudio, Tinnr, Shiny, Knitr), Sas Eg, Sas Forecast Studio, Sas Enterprise Miner, Sas Ci, Sas Di, Sas Ma, Sas Mo, Sas Visual Analytics, Sas Workload, Spss Statistics, Spss Modeler, Statistica – Data Miner, Rapidminer, Stata, Amos, Excel Solver, Excel Monte Carlo, Excel Bootstrapping, Portrait Uplift, Deltamaster, Knime, Portrait Miner, Smartpls, Ms Project, Google Cloud, Google Analytics, Google Bigquery, Tealium, Responsys, Intelliad, Adobe Sitecatalyst, Vertex Ai, Qlik, Powerbi With Daxstudio, Tableau, Llm (Bert, Llama2, Gpt-4), Gpower, Databricks, Looker, Aws, Snowflake, H2o.ai

It Competence – Programming Languages

• Python, R, Sas Base, Spss Syntax, Stata, Sql, Pl/sql, Vba, Bayesx, C++, Java, Html, Javascript, Matlab

It Competence – Applications

• Jira, Confluence, Github, Kubernetes, Docker, Microservices, Cloud Run, Airflow, Kubeflow, Trello, Jenkins, Slack, Microsoft Teams, Bitbucket, Azure Devops, Apache Spark, Apache Kafka, Jupyter Notebook, Vs Code, Pycharm

It Competence – Databases

• Sql/nosql Databases, Azure, Aws, Bigquery, Google Cloud, Snowflake, (Gcp), Oracle, Sap Bw/is-u, Mysql, Hadoop, Teradata, Dbeaver, Microsoft Sql Server, Dbvisualizer, Ms Access, Mongodb, Postgresql, Cassandra, Gis, Mariadb, Ibm Db2, Sqlite, Clickhouse

It Competence – Others

• Ms Office, Pc#tv, Datev, Acxiom, Infas

Industry Expertise

• Insurance (Direct And Traditional), Retail (Department Stores, Retail, E-commerce), Consumer Products, Energy, Health, Financial Services (Retail Banking, Direct Banking, Automotive Banks), Telecommunications, Industry, Automotive, Real Estate, Media (Broadcasting, Online, Publishing), Government And Associations, Transport/tourism, Logistics, Pharmaceutical Industry, Education, Food Industry, Public Administration, Financial Technology (Fintech), Insurance And Financial Technology (Insurtech), It Services, Startups