Experienced freelance consultant with entrepreneurial mindset advising international clients ranging from idea-stage startups to global companies on data science, artificial intelligence, and natural language processing.
Highly detail-oriented data scientist leveraging domain knowledge, data analytics, effective communication, and data story-telling skills to generate actionable business insights across transportation, aviation, automotive, finance, life sciences & pharmaceutical, sales and marketing, and human resources industries.
Innovative developer with 8+ years of project experience in deployment of machine learning in software solutions, digital product management, and business development resulting in 10+ software platforms, 10 publications, and over 5 million dollars in company revenues.
Technical Skills:
Programming Languages:
Python
R
Java
C++
C#
Matlab
Big Data:
Spark
Hive
Hue
Hadoop
Impala
Apache Solr
Databases:
PostgreSQL
MySQL
MariaDB
MongoDB
Apache Solr
Cloud:
Azure
AWS
Google Cloud
Machine Learning:
SKlearn
TensorFlow
Keras
PyTorch
DL4J
XGBoost
Data Visualization:
Tableau
PowerBI
Seaborn
Plotly
R Shiny
DevOps:
Docker
MLOps (Azure ML)
Jenkins
Frontend & Web:
D3.JS
Flask
HighCharts
Bubble
PyQT
JSON
Swagger
TCP/IP
Javascript
CSS
HTML
Version Control:
Git
Bitbucket
Project Management:
Scrum
Jira
Confluence
OS:
MS Windows
Linux
Editors:
PyCharm
IntelliJ
VS Code
Eclipse
PROJEKTHISTORIE
06/2020
- bis jetzt
HR-tech startup
Internet und Informationstechnologie
Product Manager - Data Science & NLP
- Development of proof-of-concept HR-tech solution for automated sourcing & screening of talents using NLP based on unstructured data.
- Technologies used: Python, SpaCy, NLTK, MongoDB, D3.JS, Javascript, Azure, MLOps, CI / CD.
09/2020
- 12/2020
Sartorius
5000-10.000 Mitarbeiter
Pharma und Medizintechnik
Lead Consultant - Data Strategy & Architecture
- Leading the data strategy & architecture initiative to conduct big data infrastructure health-checks and identifying the functional and process gaps in the client’s big data infrastructure.
- Requirement engineering and conducting stakeholder interviews multiple interviews and workshops with 25+ stakeholders across the organization.
- Conducting gap analysis and defining the long-term big data strategy roadmap.
- Definition and prioritization of actionable recommendations for the client’s digital transformation strategy including predictive analytics use cases.
10/2019
- 05/2020
Boehringer Ingelheim
>10.000 Mitarbeiter
Pharma und Medizintechnik
Senior Consultant – Data Science & NLP
Project: Advanced analytics dashboard for a semantic analytics use case
Built advanced text analytics models (semi-supervised learning) based on complex & imbalanced datasets achieving 96% accuracy in the semantic inference of business insights.
Designed and implemented an end-to-end big data analytics pipeline and deployed text analytics models in the client's existing big data infrastructure.
Responsibilities involved requirements engineering, business analysis, stakeholder communication, communication between the technical team and product owner, the transition of requirements into user stories.
Involved in managerial tasks such as big data architecture, user experience design, business analysis, and project management tasks.
Senior Consultant - Data Science & Solution Architecture
Project: Design & architecture of algorithmic trading platform
Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning
07/2019
- 10/2019
Global automotive company (Via Sapient GmbH)
>10.000 Mitarbeiter
Senior Consultant - Data Science
Project: Advanced analytics dashboard for marketing mix modeling and demand forecasting
Developed an advanced analytics dashboard for marketing mix modeling and demand forecasting for the global automotive company: developing an end-to-end visual analytics dashboard for demand forecasting, monitoring, and prediction of key KPIs in a performance marketing campaign using time series analysis.
Project: Merchandising intelligence for international airline company
Developing an advanced analytics dashboard for driving customer analytics (pricing analytics) for the aviation client using big data, visual analytics, and machine learning technologies.
Project: Business analysis for analytics use cases across the transportation industry
Activities included: Business analysis, use case definition, business development, solution design with machine learning
06/2018
- 07/2018
Global Pharmaceutical company (via Accenture)
>10.000 Mitarbeiter
Pharma und Medizintechnik
Consultant - Data Architecture
Project: Big data architecture planning for a global pharmaceutical company
Activities include strategic planning, big data architecture, project management.
02/2015
- 04/2018
TU Dresden
1000-5000 Mitarbeiter
Öffentlicher Dienst
Machine Learning Scientist
Project: Predictive modeling of consumer behavior:
Conducting two large-scale research studies concerned with predictive modeling of human decision making (consumer behavior) based on tracking the visual input.
Activities involve machine learning algorithm development, exploratory data analysis, statistical modeling, data visualization, big data acquisition, and data preparation.
Resulted in 3 academic publications in renowned academic journals and conferences.
Managed a team of 5 scientific staff for the acquisition of big data (~ 100,000 entries)
from more than 120 participants in consumer behavior study.
Strong presentation skills with expertise in training over 150 university students for programming, statistical thinking, data-driven approach.
11/2016
- 05/2017
Why Apply
< 10 Mitarbeiter
Internet und Informationstechnologie
Data Scientist & NLP Engineer
Project: Advanced analytics for an innovative recruitment platform
Assisting the company to generate actionable insights for clients as well as developing an advanced analytics dashboard for extraction, integration, and visualization of data from internal and external sources.
Used natural language processing and web analytics.
Technologies used: Python, NLTK, pyQT, Google Analytics, Google Cloud Platform.
07/2016
- 09/2016
The SaaS Co.
10-50 Mitarbeiter
Internet und Informationstechnologie
Data Engineer
Project: Automated data pipelines for data-driven B2B sales and lead generation
Developed an integrated data pipe-line for extracting, integrating, cleaning, and aggregating, and visualizing insights from a big data-set of 270 million entries
Technologies used: Python, Postgresql, IBM-Watson Cloud, Regex, NLP
11/2012
- 11/2014
University-clinic Tuebingen
1000-5000 Mitarbeiter
Pharma und Medizintechnik
Virtual Reality Technology Specialist & Data Analyst
Project: Virtual reality software for movement rehabilitation
Virtual reality software for movement rehabilitation: developed a virtual reality software providing real-time feedback to users for specific hand movement exercises
using computer animation, machine learning, motion capture technologieslike: C ++, Ogre3D, Libsvm, MATLAB, data glove.
Data analysis and data acquisition for robotics and virtual reality projects: conductingdata acquisition and data preparation for large scale EU projects concerning
robotics using virtual reality and motion capture technologies like: Adobe Motion builder, Vicon Nexus, Ogre3D.
Software framework for real-time analysis of human physiological data: developing a software framework for real-time tracking and visualization of human physiological data using ECG. Technologies used: C ++, MATLAB, ECG, signal processing.
Automated data pipeline for tracking and visualization of hand movements: virtual reality framework applied in movement rehabilitation. Technologies used: C ++, Ogre3d, TCP / IP.
03/2013
- 11/2013
MPI Intelligent Systems
>10.000 Mitarbeiter
Internet und Informationstechnologie
Machine Learning Engineer
Project: Developing software frameworks in machine learning and human-computer interaction in 2 research projects
Driving business development activities like preparing RfP responses, closing international partnerships, client and partner negotiation, and content marketing.
Closed 3 large-scale clients through RfP response process for developing enterprise portals
ZEITLICHE UND RÄUMLICHE VERFÜGBARKEIT
40%-60% mobility (negotiable)
KONTAKTANFRAGE VERSENDEN
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