Kurzvorstellung
Ich biete
- Big Data
- Business Analyse
- Cloud Computing
- Data Science
- E-procurement
- Infrastrukturarchitektur
- IT-Strategieberatung
- Machinelles Lernen (allg.)
- Natural Language Processing (NLP)
- Predictive analytics
- Requirement Analyse
- SAP BW
- SAP BW/4HANA
- Softwareentwicklung (allg.)
- Solution Architektur
Projekt‐ & Berufserfahrung
Life Sciences
9/2020 – 12/2020
TätigkeitsbeschreibungLead consultant for data strategy & architecture
Eingesetzte QualifikationenBig Data, E-procurement, Infrastrukturarchitektur, IT-Strategieberatung, Requirement Analyse, SAP BW, SAP BW/4HANA
Pharma
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.
Machinelles Lernen (allg.), Apache Spark, Natural Language Processing (NLP), Software Architektur / Modellierung, Software Design, Docker, Python, Google Cloud, Microsoft Azure, Amazon Web Services (AWS)
European Energy Company (via Sapient GmbH), Frankfurt am Main
Details anzeigen
Öl- und Gasindustrie
10/2019 – 10/2019
TätigkeitsbeschreibungActivities included: Business analysis, Use case definition, Business development, Solution design with machine learning
Eingesetzte QualifikationenData Science, Business Intelligence and Reporting Tools (BIRT), Machinelles Lernen (allg.), Software Design, Business Analyse, Business Development
Global automotive company (Via Sapient GmbH), Turin
Details anzeigen
Automobilindustrie
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.
PostgreSQL, Machinelles Lernen (allg.), Confluence (Atlassian), Jira, Python, Microsoft Azure
Global automotive company (Via Sapient GmbH), Frankfurt am Main
Details anzeigen
Automobilindustrie
7/2019 – 9/2019
Tätigkeitsbeschreibung
Project: Development and maintenance of marketing analytics dashboard for a global automotive company
Technologies used: Tableau, PowerBI, SQL
Data Science, Business Intelligence (BI), Tableau, SQL
Global airline company (Via Accenture), Frankfurt am Main
Details anzeigen
Tourismus und Freizeitwirtschaft
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
Data Science, Machinelles Lernen (allg.), Business Analyse, Business Development
European Financial Institution (via Accenture), Frankfurt am Main
Details anzeigen
Finanzdienstleister
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
Data Science, Machinelles Lernen (allg.)
Global Information Technology Services Company (vi, Frankfurt am Main
Details anzeigen
IT & Entwicklung
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
Data Science, ETL, SQL, Machinelles Lernen (allg.), Python, Microsoft Azure
Tourismus und Freizeitwirtschaft
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
Apache Hadoop, Tableau, PostgreSQL, Machinelles Lernen (allg.), Python
European Railway Company (via Accenture), Frankfurt am Main
Details anzeigen
Logistikdienstleister
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
Machinelles Lernen (allg.), Software Design, Business Analyse, Business Development
Global Pharmaceutical company (via Accenture), Leverkusen
Details anzeigen
Life Sciences
6/2018 – 7/2018
Tätigkeitsbeschreibung
Project: Big data architecture planning for a global pharmaceutical company
Activities include strategic planning, big data architecture, project management.
Big Data, Projektmanagement (IT), Software Architektur / Modellierung, IT-Strategieberatung
IT & Entwicklung
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.
Natural Language Processing (NLP), Python, Qt, Google Cloud, Google Analytics
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
PostgreSQL, Natural Language Processing (NLP), Python, Cloud Computing
Hochschulen und Forschungseinrichtungen
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.
Data Science, Statistik (allg.), Datenanalyse, Machinelles Lernen (allg.), Python
Hochschulen und Forschungseinrichtungen
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
Deeplearning4j, Machinelles Lernen (allg.), Rekurrentes Neuronales Netzwerk (RNN), Support Vector Machine (SVM), MATLAB / Simulink, Python
Gesundheitswesen
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.
Motionbuilder, Support Vector Machine (SVM), C++, MATLAB / Simulink, TCP/IP, Virtual Reality
IT & Entwicklung
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
Software Design, Business Development
Ausbildung
(PhD)
Ort: Dresden
(Ausbildung)
Ort: Frankfurt am Main
(MSc)
Ort: Tübingen
(BSc)
Ort: Tehran, Iran
Qualifikationen
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
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
- Persisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Fließend)
- Europäische Union
- Schweiz
Kontaktdaten
Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.
Jetzt Mitglied werden »
