Data Scientist, AI Expert, Quantitative Consultant
Aktualisiert am 14.02.2025
Profilbild
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.03.2025
Verfügbar zu: 100%
davon vor Ort: 20%
Data Scientist
Python
Machine Learning
Deep Neural Network
Künstliche Intelligenz
Statistik
Data Analyst
Datenanalyse
Algorithmenentwicklung
AB testing
Probabilistic Modelling
English
C1
German
C1
French
B2
Persian
Muttersprache

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

Lecturer
Teaching Data Structures & Algorithms course:
- Fundamental data structures in Computer Science
- Algorithm analysis, e.g., optimization, divide and conquer, matching
- Algorithm design for public policy problems
Python Algorithmen Data Analyst Data Scientist
Hertie School of Governance
Berlin
Freelance Quantitative Consultant
Teaching Data Science topics (at multiple career schools):
  • Object Oriented Programming (OOP)-based data management
  • Frequentist statistics, Probability theory, and Bayesian statistical analysis
  • A/B testing and Randomized Control Trial (RCT)
  • Machine learning topics including: linear/logistic regression, KNN, decision trees, K-means and hierarchical clustering
  • Times-series analysis (ARIMA & Gradient Boosting)
  • Introduction to SQL and Data Build Tool (DBT)
  • Introduction to visualization in Python and Tableau
Python Data Analyst Data Scientist Statistik Machine Learning Künstliche Intelligenz
Masterschool, ReDI school of digital career, SPICED academy
Berlin, Germany
Quantitative Consultant
Analysing insurance data using SQL/Python:
  • Writing validation checks for catastrophe exposure data and testing using test frameworks (unittest, pytest)
  • Data preparation for the risk management statistical tool
  • Gitlab-based (CI/CD) WebApp development
  • Banking: Basel II, risk estimation/management
Python Objektorientierung SQL SAS Versicherungsbranche GitLab CI/CD
d-fine GmbH Berlin, Germany
Researcher
Researcher in European commission?s horizon 2020 projects (5G-XHaul,
5G-PICTURE, and 5G-CLARITY) for developing the 5G:
  • AI section responsible:
    • Coordination among culturally/technically diverse partners to ensure work harmony and on-time delivery of results
    • Review, revision, and presentation of technical contents, i.e., reinforcement learning algorithms based on Deep Q networks
    • Cloud-based development and deployment of Deep Neural Network (DNN)-based Non-Line-of-Sight identification algorithm
  • Data-driven modeling and algorithm design based on:
    • Probabilistic graphical models and Bayesian inference algorithms
    • Image processing, i.e., Convolutional Neural Network (CNN)-based radio-map construction for mobile user localization
  • Data-driven location-predictive algorithm with the aid of Markov models & Bayesian decision-making
Python MATLAB Statistik Machine Learning Künstliche Intelligenz Cloud Deep Neural Network
IHP GmbH - Leibniz-Institut für Innovative Mikroelektronik Frankfurt, Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

Humboldt University of Berlin Berlin, Germany

Ph.D. thesis (title on request) grade: Magna Cum Laude:

  • Statistical modeling of communication network based on Probabilistic Graphical Models (PGMs)
  • Running Bayesian inference on PGM models trained on the data gathered from the network
  • Evaluation of communication channel quality based on Deep Neural Networks
  • Attending conferences and presenting more than 6 conference papers
  • Writing manuscripts for high prestigious journal (IF>7)


School of Economics at Panthéon-Sorbonne Paris, France
M.Sc. thesis (Title on Request) Grade: 19/20.
  • Game theory, (non-) convex optimization, and policy analysis
  • Long Short-Term Memory (LSTM)-based time-series analysis (of stock market data) using Pandas and OOP
  • RCT-based analysis of impact of teachers? training on students grades
Chair of Digital Communications at FAU Erlangen, Germany
M.Sc. thesis student (Title on Request), Grade: 1.0/1.0.
  • (Non-) Convex matrix-valued optimization theory
  • Matlab-based optimal resource allocation policy
  • Student-Assistant & Research Assistant
    • Tutor for data/signal processing lab
    • Development and documentation of Matlab simulation package in collaboration with Fraunhoufer IIS (https://www.iis.fraunhofer.de/de/ff/kom/mobile-kom/sudas.html)

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Python Machine Learning Deep Neural Network Künstliche Intelligenz Statistik Data Analyst Datenanalyse Algorithmenentwicklung AB testing Probabilistic Modelling

Produkte / Standards / Erfahrungen / Methoden

Python (Numpy, Pandas, Keras)
Experte
Object Oriented Programming (OOP)
Experte
Matlab
Experte
Microsoft Azure
Basics
C++
Basics
Linux
Basics

I have been focused on Python and OOP in the past 6 years. From 2010 until 2018, I was mostly focused on Matlab. Furthermore, I have completed the course "Microsoft Azure Machine Learning for Data Scientists" on Coursera. Finally, I have been occasionally working with Linux  and C++ (reading and understanding codes) in past 8 years.

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Lecturer
Teaching Data Structures & Algorithms course:
- Fundamental data structures in Computer Science
- Algorithm analysis, e.g., optimization, divide and conquer, matching
- Algorithm design for public policy problems
Python Algorithmen Data Analyst Data Scientist
Hertie School of Governance
Berlin
Freelance Quantitative Consultant
Teaching Data Science topics (at multiple career schools):
  • Object Oriented Programming (OOP)-based data management
  • Frequentist statistics, Probability theory, and Bayesian statistical analysis
  • A/B testing and Randomized Control Trial (RCT)
  • Machine learning topics including: linear/logistic regression, KNN, decision trees, K-means and hierarchical clustering
  • Times-series analysis (ARIMA & Gradient Boosting)
  • Introduction to SQL and Data Build Tool (DBT)
  • Introduction to visualization in Python and Tableau
Python Data Analyst Data Scientist Statistik Machine Learning Künstliche Intelligenz
Masterschool, ReDI school of digital career, SPICED academy
Berlin, Germany
Quantitative Consultant
Analysing insurance data using SQL/Python:
  • Writing validation checks for catastrophe exposure data and testing using test frameworks (unittest, pytest)
  • Data preparation for the risk management statistical tool
  • Gitlab-based (CI/CD) WebApp development
  • Banking: Basel II, risk estimation/management
Python Objektorientierung SQL SAS Versicherungsbranche GitLab CI/CD
d-fine GmbH Berlin, Germany
Researcher
Researcher in European commission?s horizon 2020 projects (5G-XHaul,
5G-PICTURE, and 5G-CLARITY) for developing the 5G:
  • AI section responsible:
    • Coordination among culturally/technically diverse partners to ensure work harmony and on-time delivery of results
    • Review, revision, and presentation of technical contents, i.e., reinforcement learning algorithms based on Deep Q networks
    • Cloud-based development and deployment of Deep Neural Network (DNN)-based Non-Line-of-Sight identification algorithm
  • Data-driven modeling and algorithm design based on:
    • Probabilistic graphical models and Bayesian inference algorithms
    • Image processing, i.e., Convolutional Neural Network (CNN)-based radio-map construction for mobile user localization
  • Data-driven location-predictive algorithm with the aid of Markov models & Bayesian decision-making
Python MATLAB Statistik Machine Learning Künstliche Intelligenz Cloud Deep Neural Network
IHP GmbH - Leibniz-Institut für Innovative Mikroelektronik Frankfurt, Germany

Aus- und Weiterbildung

Humboldt University of Berlin Berlin, Germany

Ph.D. thesis (title on request) grade: Magna Cum Laude:

  • Statistical modeling of communication network based on Probabilistic Graphical Models (PGMs)
  • Running Bayesian inference on PGM models trained on the data gathered from the network
  • Evaluation of communication channel quality based on Deep Neural Networks
  • Attending conferences and presenting more than 6 conference papers
  • Writing manuscripts for high prestigious journal (IF>7)


School of Economics at Panthéon-Sorbonne Paris, France
M.Sc. thesis (Title on Request) Grade: 19/20.
  • Game theory, (non-) convex optimization, and policy analysis
  • Long Short-Term Memory (LSTM)-based time-series analysis (of stock market data) using Pandas and OOP
  • RCT-based analysis of impact of teachers? training on students grades
Chair of Digital Communications at FAU Erlangen, Germany
M.Sc. thesis student (Title on Request), Grade: 1.0/1.0.
  • (Non-) Convex matrix-valued optimization theory
  • Matlab-based optimal resource allocation policy
  • Student-Assistant & Research Assistant
    • Tutor for data/signal processing lab
    • Development and documentation of Matlab simulation package in collaboration with Fraunhoufer IIS (https://www.iis.fraunhofer.de/de/ff/kom/mobile-kom/sudas.html)

Kompetenzen

Top-Skills

Data Scientist Python Machine Learning Deep Neural Network Künstliche Intelligenz Statistik Data Analyst Datenanalyse Algorithmenentwicklung AB testing Probabilistic Modelling

Produkte / Standards / Erfahrungen / Methoden

Python (Numpy, Pandas, Keras)
Experte
Object Oriented Programming (OOP)
Experte
Matlab
Experte
Microsoft Azure
Basics
C++
Basics
Linux
Basics

I have been focused on Python and OOP in the past 6 years. From 2010 until 2018, I was mostly focused on Matlab. Furthermore, I have completed the course "Microsoft Azure Machine Learning for Data Scientists" on Coursera. Finally, I have been occasionally working with Linux  and C++ (reading and understanding codes) in past 8 years.

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