Daniele Didino

Angestellt, Data Scientist, Herzum

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
python
R
SQL
TensorFlow
PyTorch
scikit-learn
Neural Networks
Keras
Data visualisation
Design of experiments
Research
FastAPI
GitHub
Docker
LLM
Large Language Models
Data Analysis
Statistical Analysis
Statistical Modelling
Python
Scikit-Learn
Pytorch
Unsupervised Learning
Supervised Learning
Hyperparameter Tuning
Data Wrangling
Project Management
Project Planning
Project funding
Statistical Inference
Questionnaire Design
Tidyverse
Word Embeddings
Bayesian statistics
Hypothesis Testing
Decision Trees
Exploratory Data Analysis
Transformers
Llama Index
XGBoost
Plotly
Seaborn
Matplotlib
SciPy
Statistics
Pandas
Deep Learning
Data Visualization
NumPy
Gradient Boosting
Natural Language Processing (NLP)
Data Modeling
Cognitive psychology
Cognitive Neuroscience
Cognitive Science
Team work
Problem Solving
Analytical skills
Presentation skills
Intercultural competence
Organizational skills

Werdegang

Berufserfahrung von Daniele Didino

  • Bis heute 2 Monate, seit Juni 2025

    Data Scientist

    Herzum

  • 1 Jahr und 4 Monate, Dez. 2023 - März 2025

    Data Scientist & Co-Founder

    Dailogy

    Developed an app to enhance communication within couples by leveraging Large Language Models. Tasks: - Engineered an LLM-powered framework with API client requests to analyze and identify dysfunctional communication patterns. - Developed tools to evaluate and transform dysfunctional communication into functional dialogue, enhancing interpersonal communication. - Designed methods to enhance LLM-generated language, ensuring it mirrors everyday communication for a more natural and authentic output.

  • 7 Jahre, Juni 2016 - Mai 2023

    Research Group Leader

    Humboldt-Universität zu Berlin

    Tasks: - Led high-impact projects by managing resources efficiently and securing over €550,000 in funding. - Designed and optimized data pipelines for pre-processing and analysis. - Developed and evaluated advanced models, analyzing both structured and unstructured data. - Created reports and presentations to communicate insights clearly to both technical and non-technical audiences, supporting decision-making. - Mentored junior researchers, providing guidance in advanced data analysis techniques.

  • 1 Jahr und 7 Monate, Okt. 2014 - Apr. 2016

    Postdoctoral Researcher

    Tomsk Polytechnic University

    I worked as a data analyst in a cross-functional and multicultural team, bridging the gap between economists, computer scientists, and web designers. Main tasks: - Defined analytical approaches, ensuring robust data collection, preprocessing, and statistical analysis. - Successfully managed collaborative projects involving universities in Italy and Russia, in partnership with founding institutes. - Developed and evaluated web-based technologies focused on enhancing well-being.

  • 6 Monate, Sep. 2015 - Feb. 2016

    Visiting Researcher

    Università di Trento

    Visiting Postdoctoral Research Fellow at the Department of Information Engineering and Computer Science, University of Trento (Italy)

  • 1 Jahr und 6 Monate, Sep. 2012 - Feb. 2014

    Postdoctoral Researcher

    Burapha University

    - Instructed university-level courses on data analysis, focusing on data handling and inferential statistics (hypothesis testing). - Mentored several Ph.D. students in their research projects, guiding them in advanced data analysis techniques.

Ausbildung von Daniele Didino

  • 3 Jahre, Nov. 2008 - Okt. 2011

    Ph.D. Cognitive Sciences

    University of Trento

  • 3 Jahre, Okt. 2005 - Sep. 2008

    M.sc Cognitive Sciences

    University of Trento

  • 5 Jahre und 2 Monate, Sep. 2000 - Okt. 2005

    B.sc Philosophy

    University of Genova

Sprachen

  • Italienisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Gut

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