Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic
Mariia Koren

Mariia Koren

Data Scientist
Munich

Summary

Data Scientist with 3+ years of experience developing and optimizing machine learning models for biological applications. Specialized in computer vision and deep learning with proven results in improving model performance and accelerating inference processes. Strong expertise in Python, PyTorch, and microscopy image analysis.

Overview

9
9
years of professional experience
8
8
years of post-secondary education
2
2
Certifications
4
4
Languages

Work History

Data Scientist

PHIO scientific GmbH
12.2024 - Current
  • Developed and optimized a deep learning model for cell viability classification, improving the F1 score from 0.93 to 0.98.
  • Accelerated inference time of a custom cell detection model from 26 seconds to 9 seconds per image, enabling near real-time processing of microscopy data.
  • Designed and implemented automatic labelling pipeline for ground truth generation in object detection tasks.
  • Led regular code reviews and provided technical mentorship to junior team members.

Research Assistant at the Marie Piraud group

Helmholtz AI
03.2023 - 03.2024
  • Implemented deep learning models for instance, semantic, and panoptic segmentation tasks.
  • Developed front-end and back-end features for the DCP (Data Centric Platform) software tool.
  • Conducted benchmark tests on multiple segmentation models.

Junior Data Scientist

PHIO scientific GmbH
06.2022 - 04.2023
  • Performed and visualized analyses of motility, confluence, growth, and clustering for customer reports and publications.
  • Enhanced model performance by applying preprocessing and post-processing to challenging microscopy images.

Internship (TUM Data Innovation Lab)

PreciTaste
04.2022 - 09.2022
  • Project: "Detecting Novel Objects with only Few Examples"
  • Built a detection pipeline using CLIP embeddings to match novel objects from a single reference image.
  • Integrated object localization models (Zero-Shot DETR, OS2D) and added a captioning module.

Student research assistant for cell image analysis

09.2021 - 06.2022

Operations Research Analyst

Tavria V
06.2016 - 07.2020
  • Evaluated campaign cost-efficiency and prepared monthly reports with visual and statistical summaries.
  • Applied clustering and market basket analysis to segment customers and optimize targeting strategies.
  • Collaborated with cross-functional teams to implement data-driven solutions and define new analytical goals.

Education

Bachelor of Applied Science - Applied Mathematics

Odessa I.I. Mechnikov National University
09.2012 - 06.2016

Master's Degree - Mathematics

Techical University of Munich
10.2020 - 08.2024

Skills

Programming
Python, SQL, R

ML & AI
PyTorch, Scikit-learn, Transformers, PyTorch Lightning, GANs, Object Detection, Segmentation, Zero/Few-Shot Learning

Computer Vision
OpenCV, Albumentations, Scikit-image

Data & Viz
Pandas, NumPy, Seaborn, Matplotlib, Plotly

Tools
Docker, Pytest, PyQt5

Version Control
Git, GitHub, GitLab

Certification

Nanodegree: AI for Healthcare, Udacity

Timeline

Data Scientist

PHIO scientific GmbH
12.2024 - Current

Generative Adversarial Networks (GANs) Specialization, DeepLearning.AI

10-2024

Research Assistant at the Marie Piraud group

Helmholtz AI
03.2023 - 03.2024

Nanodegree: AI for Healthcare, Udacity

11-2022

Junior Data Scientist

PHIO scientific GmbH
06.2022 - 04.2023

Internship (TUM Data Innovation Lab)

PreciTaste
04.2022 - 09.2022

Student research assistant for cell image analysis

09.2021 - 06.2022

Master's Degree - Mathematics

Techical University of Munich
10.2020 - 08.2024

Operations Research Analyst

Tavria V
06.2016 - 07.2020

Bachelor of Applied Science - Applied Mathematics

Odessa I.I. Mechnikov National University
09.2012 - 06.2016
Mariia KorenData Scientist