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Georgiana Stan
Sector 6, Romania
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
135.4
CodersRank Rank
Top 5%
Top 10
Jupyter Notebook
Developer
Romania
Top 50
Python
Developer
Romania
Top 5
R
Developer
Romania
Highest experience points: 0 points,
0 activities in the last year
Python
68.3
exp.
Jupyter Notebook
46.2
exp.
JSON
2.8
exp.
List your work history, including any contracts or internships
Booking Holdings (NASDAQ: BKNG)
Dec 2024 - Mar 2025 (3 months)
Data Fraud Intern
Veridion
Jul 2024 - Sep 2024 (2 months)
Data Engineer Intern
An intense start-up experience, where I:
- transformed tens of columns into data points for easier querying and query latency reduction;
- implemented an efficient Spark-based data pipeline to process and webscrape thousands of pages;
- conducted advanced SQL queries for large databases and managed file storage using HDFS;
- was exposed to and customised ChatGPT-powered query pipelines to enable web search, increasing both time efficiency and accuracy;
- deeply analysed large-scale data and delivered actionable insights that informed decision-making;
- converted millions of rows of raw data into Parquet format and improved both query speed and storage efficiency;
- web crawled the internet.
- transformed tens of columns into data points for easier querying and query latency reduction;
- implemented an efficient Spark-based data pipeline to process and webscrape thousands of pages;
- conducted advanced SQL queries for large databases and managed file storage using HDFS;
- was exposed to and customised ChatGPT-powered query pipelines to enable web search, increasing both time efficiency and accuracy;
- deeply analysed large-scale data and delivered actionable insights that informed decision-making;
- converted millions of rows of raw data into Parquet format and improved both query speed and storage efficiency;
- web crawled the internet.
Add some compelling projects here to demonstrate your experience
Exploratory Data Analysis and Binary Classification on Heart Disease data
- Present
Machine learning techniques to predict heart disease, facilitating early detection and prevention. Exploratory Data Analysis (EDA) on a heart disease dataset was conducted to uncover patterns and corre- lations. Predictive models based on Support Vector Machine (SVM), Random Forest, and Logistic Regression algorithms were used to classify individuals having heart disease or not, while feature engineering techniques enhanced model performance and interpretability. The best accuracy was obtained with Random Forest, leveraging its ability to capture complex dataset relationships.
Multiclass Classification of Mental Disorders
- Present
Predictive model to classify mental disorders, aiding in prevention and possible treatment strategies. Various types of mental disorders (e.g., depression, bipolar disorder type-2) were labeled encoded for classifi- cation purposes. A diverse range of supervised machine learning algorithm were tested and the performance of each model was assessed via cross-validation.
Supervised Learning with Linear Regression on CO2 emissions by vehicles
- Present
Analysis conducted to identify vehicles mainly involved in gas emissions. Linear regression was applied to clearly visualize features relationships. Through visualization, normality was also assessed. Out- liers were removed to enhance data integrity and categorical variables were managed with one-hot encoding. Predictive modeling consisted of linear regression, K-Nearest Neighbors (KNN), and Random Forest algo- rithms. Lastly, hyperparameter search was done with GridSearch for Random Forest and KNN models. Model performance was evaluated based on R-squared scores.
This section lets you add any degrees or diplomas you have earned.
University POLITEHNICA of Bucharest
Bachelor's degree, Biomedical/Medical Engineering
Oct 2021 - Jun 2025
Involvement:
- Student Scientific Communications Session participant - Thesis: "Miscible displacement of fluids in capillary tubes" (May, 2023)
- 2nd Prize at ROSETHON Competition, organised by the Ministry of National Education - Presentation of the promotion and configuration of the ideal university
- Games of Science local session - 15”, 30”, 90”, 3’ speeches on: Epigenetics Impact on Longevity
- EELISA Workshop on Design Thinking
- European BEST Engineering Competition Challenge - Presentations: "Air traffic and CO2 emissions" and "Garbage from landfills"
- 4th prize at the Student Scientific Communications Session - Thesis: "The Biohybrid Fish - A Starting Point for The Invention of An Artificial Heart" (May, 2022)
- Research Trainee in the Cell Biology Laboratory, coordinated by Lect. Adela Banciu, scientific researcher - Cell cultures (MC3T3 cell line), samples preparation for fluorescence microscopy, RNA extraction from mice brains in the microbiology laboratory (Aug-Oct, 2022)
- Student Scientific Communications Session participant - Thesis: "Miscible displacement of fluids in capillary tubes" (May, 2023)
- 2nd Prize at ROSETHON Competition, organised by the Ministry of National Education - Presentation of the promotion and configuration of the ideal university
- Games of Science local session - 15”, 30”, 90”, 3’ speeches on: Epigenetics Impact on Longevity
- EELISA Workshop on Design Thinking
- European BEST Engineering Competition Challenge - Presentations: "Air traffic and CO2 emissions" and "Garbage from landfills"
- 4th prize at the Student Scientific Communications Session - Thesis: "The Biohybrid Fish - A Starting Point for The Invention of An Artificial Heart" (May, 2022)
- Research Trainee in the Cell Biology Laboratory, coordinated by Lect. Adela Banciu, scientific researcher - Cell cultures (MC3T3 cell line), samples preparation for fluorescence microscopy, RNA extraction from mice brains in the microbiology laboratory (Aug-Oct, 2022)
Universidade de Coimbra
Bachelor's degree, Biomedical Engineering and Computational Biology
Sep 2023 - Jun 2024
Focus on:
- Technologies and Data Analysis in Genomics
- Bioinformatics and Machine Learning
- Computational Drug Discovery
- Clinical Computing and Tele-health Systems
- Nanobiomaterials
- Neural Circuits and Behaviour
- Technologies and Data Analysis in Genomics
- Bioinformatics and Machine Learning
- Computational Drug Discovery
- Clinical Computing and Tele-health Systems
- Nanobiomaterials
- Neural Circuits and Behaviour
National Institute of Pathology "Victor Babeș", Bucharest
Jul 2022 - Jul 2022
2 weeks of traineeship comprising:
- cellular passaging
- medical genetics and databases
- biobase laboratory management and respective ethics
- DNA extraction from human blood
- flow citometry blood test
- pathology of cells and recognition through fluorescence microscopy of the impact autoimmune diseases may have on renal cells
- mechanism of the cryo-electron microscope and understanding of the mRNA in Covid-19 vaccines
- cellular passaging
- medical genetics and databases
- biobase laboratory management and respective ethics
- DNA extraction from human blood
- flow citometry blood test
- pathology of cells and recognition through fluorescence microscopy of the impact autoimmune diseases may have on renal cells
- mechanism of the cryo-electron microscope and understanding of the mRNA in Covid-19 vaccines
"Ion Luca Caragiale" National College, Ploiesti
Mathematics and Computer Science
Jan 2017 - Dec 2021
Skills: C++
English Certificate C2
The Complete Python Bootcamp From Zero to Hero in Python
Jan 2024
Data Science and Machine Learning Bootcamp with R
Feb 2024