Philipp Grunert

Core Competencies

• Data Science, Data Mining, Statistics, Big Data, Data Engineering, Reporting, Development Of Analytical Models, 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, Rapid Miner, 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 Retention, Response Optimization, Campaign Selection, Campaign Evaluation, Campaign Optimization, Nlp And Llm Models, Campaign Management, Driver Analysis, Media Mix Models, Customer Journey Analysis, Cex And Nps Models, Social Media Analytics, Web Analytics, Geo-analytics, Lead Scoring, Predictive Maintenance, Customer Lifetime Value (Clv) Calculations, Sentiment Analysis, Market Basket Analysis, Recommendation Engines, Multi-channel Analysis, 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, Potentials, Budget Management, Predictive Modeling, Data Mining, Driver Analysis, 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 Analysis, Dashboarding, Ad-hoc Analysis, Financial Modeling, Risk Analysis, Monte Carlo Simulations, Value Driver Trees, Time Series Analysis, Portfolio Analysis, Sensitivity Analysis, Kpi Monitoring, Balanced Scorecard, Exploratory Data Analysis (Eda), Hypothesis Testing, Data Visualization, Business Process Modeling, 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, Receivables Management, Debt Collection Processes, Fraud Prevention, Profit-based Offering, Stress Tests And Scenario Analysis, Operational Risk Management, Compliance Management, Risk Identification And Assessment, Risk Mitigation Techniques, Credit Risk Analysis, Market Risk Management, Liquidity Risk Management, Reputation Risk Analysis

Expertise – Business Intelligence

• Migrations Between Languages, Creation Of Standard Reports, Data Quality Analysis, Reporting, Kpi (Key Performance Indicators) 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 Analysis, 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 Modeling, Analytical Data Marts, Abts, Automations, Cloud, Docker, Data Integration, Data Cleansing, 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 Protection

• Certification, Support In Setting Up Data Protection Compliant Analytics Marts And Use Cases, Coordination With Data Protection Officers

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

• Machine Learning, Deep Learning, Reinforcement Learning, Artificial Intelligence, Regression Analysis, Multi-category And Multinomial Models, Decision Trees, Random Forests, Gbm, Gbc, Xgb, Neural Networks, Simulations (Monte Carlo), Linear/quadratic Optimizations, Time Series Analysis (Xarima-x, (I, E)-garch-(m), Smoother, Forecasting Models, Econometrics, Panel Data Models), Cluster Analysis, Discriminant Analysis, Factor Analysis, Mds, Conjoint Analysis, Survival Analysis, 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, Reinforcement Learning, Causal Inference, Bayesian Networks, Markov Chains, Hidden Markov Models

Method Competencies – Leadership Skills In The Data Science Environment

• Team Leadership, Technical And Disciplinary Management, Including Interim Roles For 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 Capabilities, Agile Leadership, Network Building And Maintenance

Method Competencies – Project Management In The Data Science Environment

• Project Leadership (Classical 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 Competencies – Strategy For Data Science

• Creating Roadmaps For Data Science Departments, Consulting And Coaching Up To C-level Of Large Dax Companies, Building Multiple Data Science Departments And Companies, Strategic Planning And Implementation, Competitive Analysis, Market And Trend Analysis, Company Development, Innovation Management, Business Model Development, Transformation Management, Analytical Support In Mergers & Acquisitions (M&a), Kpi Definition And Monitoring, Swot Analysis, Risk Analysis And Assessment, Benchmarking

Method Competencies – Communication

• Presentation, Moderation, Communication Techniques, Workshop Facilitation, Analytics Storytelling, Support In Hiring

Method Competencies – Process Management

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

Method Competencies – Architecture And Role Concepts

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

It Skills – Analytics/reporting Tools

• Python (Pandas, Numpy, Matplotlib, Tensorflow, Pytorch, Keras, Pyspark, Streamlit, Dash, Flask), R (R-studio, Tinn R, 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, Rapid Miner, Stata, Data, Amos, Excel Solver, Excel Monte Carlo, Excel Bootstrapping, Portrait Uplift, Delta Master, Knime, Portrait Miner, Smartpls, Ms Project, Google Cloud, Google Analytics, Google Big Query, Tealium, Responsys, Intelliad, Adobe Sitecatalyst, Vertexai, Qlik, Powerbi With Daxstudio, Tableau, Llm (Bert, Llama2, Gpt-4), Gpower, Databricks, Looker, Aws, Snowflake, H2o.ai

It Skills – Programming Languages

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

It Skills – Applications

• Jira, Confluence, Git(hub), 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 Skills – Databases

• Sql/no-sql Databases, Azure, Aws, Bigquery, Google Cloud, Snowflake, (Gcp), Oracle, Sap Bw/isu, Mysql, Hadoop, Teradata, Dbeaver, Microsoft Sql Server, Db Visualizer, Ms Access, Mongodb, Postgresql, Cassandra, Gis, Mariadb, Ibm Db2, Sqlite, Clickhouse

It Skills – Other

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