freiberufler Data Science Consultant auf freelance.de

Data Science Consultant

zuletzt online vor 2 Tagen
  • auf Anfrage
  • 60311 Frankfurt am Main
  • DACH-Region
  • fa  |  en  |  de
  • 03.05.2021

Kurzvorstellung

Lead Consultant | Data Science | AI | Machine Learning | NLP | Big Data Architecture | Cloud (AWS, Azure, GCP)

Ich biete

  • Big Data
  • Business Analyse
  • Cloud Computing
  • Continuous Delivery (CDE)
  • CSS (Cascading Style Sheet)
  • Data Science
  • E-procurement
  • HTML
  • Infrastrukturarchitektur
  • IT-Strategieberatung
  • JavaScript
  • Machinelles Lernen (allg.)
  • Microsoft Azure
  • Natural Language Processing (NLP)
  • Predictive analytics
  • Python
  • Requirement Analyse
  • SAP BW
  • SAP BW/4HANA
  • Softwareentwicklung (allg.)
  • Solution Architektur

Projekt‐ & Berufserfahrung

Senior Consultant - Data Science, Cloud, Big Data
Global Energy Company (Oil & Gas), Frankfurt am Main
5/2021 – offen (1 Monat)
Öl- und Gasindustrie
Tätigkeitszeitraum

5/2021 – offen

Tätigkeitsbeschreibung

Data Science, Cloud, Big Data, AWS

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Big Data, Cloud Computing, Data Science, Machinelles Lernen (allg.)

Lead Consultant - Big Data Strategy & Architecture
Sartorius, Germany
9/2020 – 12/2020 (4 Monate)
Life Sciences
Tätigkeitszeitraum

9/2020 – 12/2020

Tätigkeitsbeschreibung

Lead consultant for data strategy & architecture

Eingesetzte Qualifikationen

Big Data, E-procurement, Infrastrukturarchitektur, IT-Strategieberatung, Requirement Analyse, SAP BW, SAP BW/4HANA

Senior Consultant – Data Science & NLP
HR-tech startup company, Frankfurt
6/2020 – 4/2021 (11 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2020 – 4/2021

Tätigkeitsbeschreibung

- Development of MVP of a 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.

Eingesetzte Qualifikationen

Continuous Delivery (CDE), CSS (Cascading Style Sheet), HTML, JavaScript, Microsoft Azure, Natural Language Processing (NLP), Python

Senior Consultant – Data Science & NLP
Boehringer Ingelheim, Ingelheim am Rhein
10/2019 – 5/2020 (8 Monate)
Pharma
Tätigkeitszeitraum

10/2019 – 5/2020

Tätigkeitsbeschreibung

- 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.
- Technologies used: Python, Java, Apache Spark, HDFS, Docker, AWS, Azure, Google Cloud, RESTful API, Apache Solr, PostgreSQL, Dexi.io, Prodigy, Spacy, Tensorflow, PyTorch, D3.JS, Highcharts, Jenkins, PyCharm , Bitbucket, Jira, Confluence.

Eingesetzte Qualifikationen

Machinelles Lernen (allg.), Apache Spark, Natural Language Processing (NLP), Software Architektur / Modellierung, Software Design, Docker, Python, Google Cloud, Microsoft Azure, Amazon Web Services (AWS)

Senior Consultant - Data Science & Solution Architecture
European Energy Company (via Sapient GmbH), Frankfurt am Main
10/2019 – 10/2019 (1 Monat)
Öl- und Gasindustrie
Tätigkeitszeitraum

10/2019 – 10/2019

Tätigkeitsbeschreibung

Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning

Eingesetzte Qualifikationen

Data Science, Business Intelligence and Reporting Tools (BIRT), Machinelles Lernen (allg.), Software Design, Business Analyse, Business Development

Senior Consultant - Data Science
Global automotive company (Via Sapient GmbH), Turin
7/2019 – 10/2019 (4 Monate)
Automobilindustrie
Tätigkeitszeitraum

7/2019 – 10/2019

Tätigkeitsbeschreibung

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.
Technologies Used: Python, XGBoost, Azure, SQL, Dash, Jira, Confluence.

Eingesetzte Qualifikationen

PostgreSQL, Machinelles Lernen (allg.), Confluence (Atlassian), Jira, Python, Microsoft Azure

Senior Consultant - Visual Analytics (Tableau/PowerBI)
Global automotive company (Via Sapient GmbH), Frankfurt am Main
7/2019 – 9/2019 (3 Monate)
Automobilindustrie
Tätigkeitszeitraum

7/2019 – 9/2019

Tätigkeitsbeschreibung

Project: Development and maintenance of marketing analytics dashboard for a global automotive company
Technologies used: Tableau, PowerBI, SQL

Eingesetzte Qualifikationen

Data Science, Business Intelligence (BI), Tableau, SQL

Consultant - Business Analysis
Global airline company (Via Accenture), Frankfurt am Main
3/2019 – 4/2019 (2 Monate)
Tourismus und Freizeitwirtschaft
Tätigkeitszeitraum

3/2019 – 4/2019

Tätigkeitsbeschreibung

Project: Business analysis for big data analytics use cases across aviation industry
Activities included: Business analysis, Use case definition, Business development, Solution design with machine learning

Eingesetzte Qualifikationen

Data Science, Machinelles Lernen (allg.), Business Analyse, Business Development

Consultant - Data Science
European Financial Institution (via Accenture), Frankfurt am Main
2/2019 – 4/2019 (3 Monate)
Finanzdienstleister
Tätigkeitszeitraum

2/2019 – 4/2019

Tätigkeitsbeschreibung

Project: Developing a finance dashboard for the visualization of historical trends along with forecasted trends of economic KPIs
Technologies used: R Shiny, Machine Learning

Eingesetzte Qualifikationen

Data Science, Machinelles Lernen (allg.)

Consultant - Data Science
Global Information Technology Services Company (vi, Frankfurt am Main
1/2019 – 4/2019 (4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2019 – 4/2019

Tätigkeitsbeschreibung

Project: Development of human resources analytics platform
Developing analytics-driven capabilities for ranking of candidates in talent search engine based on natural language processing.
Technologies used: Azure, Kubernetes, Python, ETL, SQL, Restful API, Flask, Machine Learning

Eingesetzte Qualifikationen

Data Science, ETL, SQL, Machinelles Lernen (allg.), Python, Microsoft Azure

Consultant - Data Science
Global airline company (Via Accenture), Nice
9/2018 – 12/2018 (4 Monate)
Tourismus und Freizeitwirtschaft
Tätigkeitszeitraum

9/2018 – 12/2018

Tätigkeitsbeschreibung

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.
Technologies used: Tableau, Python, R, Machine Learning, SQL, Hive

Eingesetzte Qualifikationen

Apache Hadoop, Tableau, PostgreSQL, Machinelles Lernen (allg.), Python

Consultant - Business Analysis & Data Science
European Railway Company (via Accenture), Frankfurt am Main
7/2018 – 8/2018 (2 Monate)
Logistikdienstleister
Tätigkeitszeitraum

7/2018 – 8/2018

Tätigkeitsbeschreibung

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

Eingesetzte Qualifikationen

Machinelles Lernen (allg.), Software Design, Business Analyse, Business Development

Consultant - Data Architecture
Global Pharmaceutical company (via Accenture), Leverkusen
6/2018 – 7/2018 (2 Monate)
Life Sciences
Tätigkeitszeitraum

6/2018 – 7/2018

Tätigkeitsbeschreibung

Project: Big data architecture planning for a global pharmaceutical company
Activities include strategic planning, big data architecture, project management.

Eingesetzte Qualifikationen

Big Data, Projektmanagement (IT), Software Architektur / Modellierung, IT-Strategieberatung

Data Scientist & NLP Engineer
Why Apply, Leipzig
11/2016 – 5/2017 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

11/2016 – 5/2017

Tätigkeitsbeschreibung

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.

Eingesetzte Qualifikationen

Natural Language Processing (NLP), Python, Qt, Google Cloud, Google Analytics

Data Engineer
The SaaS Co., Berlin
7/2016 – 9/2016 (3 Monate)
IT & Entwicklung
Tätigkeitszeitraum

7/2016 – 9/2016

Tätigkeitsbeschreibung

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

Eingesetzte Qualifikationen

PostgreSQL, Natural Language Processing (NLP), Python, Cloud Computing

Machine Learning Scientist
TU Dresden, Dresden
2/2015 – 4/2018 (3 Jahre, 3 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

2/2015 – 4/2018

Tätigkeitsbeschreibung

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.
Technologies used: Python, Scikit-learn, Matplotlib, seaborn, eye tracking, self-developed advanced machine learning algorithms, approximate inference, MATLAB.
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.

Eingesetzte Qualifikationen

Data Science, Statistik (allg.), Datenanalyse, Machinelles Lernen (allg.), Python

Machine Learning Engineer
MPI Intelligent Systems, Tuebingen
3/2013 – 11/2013 (9 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

3/2013 – 11/2013

Tätigkeitsbeschreibung

Project: Developing software frameworks in machine learning and human-computer interaction in 2 research projects
Technologies used: Python, Matlab, machine learning, optimization methods, control theory, neural networks

Eingesetzte Qualifikationen

Deeplearning4j, Machinelles Lernen (allg.), Rekurrentes Neuronales Netzwerk (RNN), Support Vector Machine (SVM), MATLAB / Simulink, Python

Virtual Reality Specialist & Data Analyst
University-clinic Tuebingen, Tuebingen
11/2012 – 11/2014 (2 Jahre, 1 Monat)
Gesundheitswesen
Tätigkeitszeitraum

11/2012 – 11/2014

Tätigkeitsbeschreibung

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.

Eingesetzte Qualifikationen

Motionbuilder, Support Vector Machine (SVM), C++, MATLAB / Simulink, TCP/IP, Virtual Reality

Consultant - Business Development
Sooren Systems Ltd., Tehran
3/2012 – 12/2012 (10 Monate)
IT & Entwicklung
Tätigkeitszeitraum

3/2012 – 12/2012

Tätigkeitsbeschreibung

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

Eingesetzte Qualifikationen

Business Development, Software Design

Ausbildung

Computational Intelligence
(PhD)
Jahr: 2020
Ort: Dresden
Strategic Business َAnalytics
(Ausbildung)
Jahr: 2018
Ort: Frankfurt am Main
Neural Information Processing
(MSc)
Jahr: 2014
Ort: Tübingen
Information Technology Engineering
(BSc)
Jahr: 2012
Ort: Tehran, Iran

Qualifikationen

Technologies:
Programming languages: Python, Java, Scala, R, C++, C#, Matlab.
Machine Learning: SKlearn, Tensorflow, Keras, pyTorch, DL4J
Frontend, Web, and Frameworks: pyQt, Javascript, jQuery, CSS, HTML, Flask, Restful API, Swagger, JSON, Postman, TCP/IP
Data Analytics/Visualization: Tableau,PowerBI, D3.JS, Dash, HighCharts, Seaborn, Excel, Google Analytics
Database: MySQL, PosgreSQL, MariaDB, MongoDB.
Big Data: Hive, Impala, Hue, Spark, Hadoop (HDFS), Apache SOLR
Cloud/DevOps: AWS, Azure, Google Cloud, Docker, Jenkins
Version control: Git, Bitbucket
Project management: Scrum, Confluence, Jira
OS: Windows, Linux
Editors: PyCharm, IntelliJ, VS Code, Eclipse

Über mich

 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 pro-cessing.

 Highly detail-oriented data scientist leveraging domain knowledge, data analytics, effective communica-tion, 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 creator with 8+ years of project experience in deployment of machine learning in software solu-tions, digital product management, and business development resulting 10+ software platforms, 10 publi-cations, and over 5 million dollars in company revenues.

Persönliche Daten

Sprache
  • Persisch (Muttersprache)
  • Englisch (Fließend)
  • Deutsch (Fließend)
Reisebereitschaft
DACH-Region
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Profilaufrufe
2330
Alter
33
Berufserfahrung
9 Jahre und 8 Monate (seit 09/2011)
Projektleitung
2 Jahre

Kontaktdaten

Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.

Jetzt Mitglied werden