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Meysam G.MG

Meysam G.

Data Scientist, Quant. Consultant, Instructor, PhD

920 €/Tag
Berlin, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Meysam

Overview:
I am a dedicated Data Scientist and Algorithm Design Specialist with a strong foundation in computer science and Economics and a keen passion for crafting innovative solutions. My expertise lies in data science, advanced analytics, and the design of algorithms that drive results.

Services Offered:
Data Science Mastery: Unlock the potential of your data with my advanced data analysis, machine learning, and predictive modeling skills. I'm here to transform your raw data into actionable insights that fuel informed decision-making.

Algorithm Design Excellence: Elevate your technical capabilities with my specialization in designing custom algorithms. I leverage the latest in machine learning and optimization techniques to tackle complex challenges and enhance your competitive edge.

Why Choose Me:
Research-Backed Expertise: With a Ph.D. in Computer Science, an M.Sc. in Economics, and years of research experience, I bring a strong academic foundation to every project.

Proven Problem Solver: I excel in finding creative solutions to data-related challenges and complex algorithmic problems.

Coding Proficiency: Proficient in Python and MATLAB, I can seamlessly integrate algorithms into your systems and workflows.

I am dedicated to helping businesses harness the power of data science and algorithmic innovation. Let's collaborate to achieve your goals and take your projects to the next level.
  • Persisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Deutsch

    Verhandlungssicher

  • Französisch

    Konversationssicher

Vor Ort möglich
Berlin (bis zu 50 km), Munich (bis zu 50 km), Köln (bis zu 50 km), Frankfurt am Main (bis zu 50 km), Hamburg (bis zu 50 km)

Projekt- und Berufserfahrung

  • ESCP Paris
    Lecturer
    BILDUNG & E-LEARNING
    Januar 2026 - Heute (5 Monate)
    Turin, Italien
    Teaching the course AI for Big Data Management with topics:
    - AI and ethics
    - HuggingFace and agentic workflows
    - Data mining for financial analytics
    - Business analytics and decision making
    Generative AI Agentic AI Data mining Financial Analysis Business Analytics
  • Hertie school of governance
    Lecturer
    BILDUNG & E-LEARNING
    Januar 2025 - Heute (1 Jahr und 5 Monate)
    Berlin, Deutschland
    Teaching Bayesian Modeling of Complexity course in master of data science for public policy:
    - Fundamentals of Bayesian modeling:
    + Modeling and inference of Bayesian networks
    + Markov-Chain Monte Carlo
    + Hierarchical modeling
    - Fundamentals of Complex Systems:
    + Non-linearity, feedback loops, adaptation, emergence, and self-organization
    + Principles of Agent-Based Modeling (ABM); Overview, Design, and Details (ODD)
    + Bayesian calibration of ABMs

    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
    Algorithms Data Structures Optimization complex systems Machine learning
  • Masterschool
    Data Science/Analytics Teacher
    BILDUNG & E-LEARNING
    August 2024 - Mai 2025 (9 Monate)
    Berlin, Deutschland
    Teaching Data Science/Analytics concepts:
    - Foundations of Math and Python
    - Introduction to Pandas, data cleaning, and data visualization
    - A/B testing (Frequentist & Bayesian)
    - ML topics: linear/logistic regression, decision trees, KNN, K-means, and ensemble methods (random forest and gradient boosting)
    - Time-series analysis using ARIMA, XGBoosting, and LSTM
    - Times-series analysis (ARIMA & Gradient Boosting)
    A/B Testing Inférence bayésienne Machine learning Time Series Analysis

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Ausbildung und Abschlüsse

  • Ph.D. in Computer Science
    Humboldt University of Berlin
    2023
    Since the advent of telecommunications, statistical approaches have been adopted to tackle technical problems. In particular, excellent end-to-end mathematical and probabilistic models developed in this field have been functioning admirably well up until now. Nowadays, in the heyday of AI, such precise well-functioning models seem to render the AI algorithms futile for telecommunications as they are mostly employed where the end-to-end models are not available or difficult to obtain. Nevertheless, recently the attempts to leverage AI alongside the existing statistical models have been increasing dramatically. In this Ph.D., we have reasonably deployed AI in conjunction with the existing models in a hybrid manner to address the localization and synchronization problem in 5G networks.
  • M.Sc. in Economics
    University of Paris 1 Panthéon Sorbonne
    2022
    The Panthéon-Sorbonne Master in Economics (PSME) provides the students with the mathematical micro- and macro-foundations of economics during the first semester. Next, based on those foundations, one has the opportunity to further expand their knowledge by delving into subjects such as macroeconomics of development and industrial economics in the second semester. Finally, a thesis concludes the program and prepares the students for the next step of their academic/career life.

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