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Dominik Dekleva
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Hey, My name is Dominik Dekleva

Biochemist, data scientist, recreational boxer, and electronic music producer.
With 5 years of experience at a Cambridge biotech startup, I am currently working on my PhD in Generative AI for Drug Design.

Projects

Get to know me!

Hey! It's Dominik Dekleva, and I'm a Biochemist / Data Scientist based in Ljubljana, Slovenia. With over 7 years of experience, I've worked across fields like nanotoxicology, cancer research, computer vision, and AI for drug development.

In my spare time, I collaborate with businesses across industries to unlock the value of their data, solving complex challenges through strategic data centralization, predictive modeling, and advanced AI applications.

My projects range from optimizing data ecosystems for faster decision-making and enhanced operational efficiency, to developing predictive models that drive actionable insights and improve business outcomes.

Currently, I focus most of my time on designing novel drug candidates with REINVENT (AstraZeneca), a generative AI platform for drug discovery, applying advanced machine learning techniques to optimize molecular designs.

Feel free to contact me here.

Contact

My Skills

Python
SQL
Snakemake
AWS
HPC Cluster Computing (SLURM, MPI, Parallel Processing)
Machine Learning
Deep Learning
Data Visualization

Projects Check out some of my projects—some are work-related, others are just fun experiments.

Software Screenshot

Computer Vision-Based Rock, Paper, Scissors Game

This project is a computer vision-based Rock, Paper, Scissors game built using Python and OpenCV. It leverages image processing techniques to recognize hand gestures and predict the player's move in real-time. The goal was to create an interactive, fun demonstration of computer vision's potential in gaming and user interaction.

View Project on GitHub
Software Screenshot

Multinational Retail Data Centralization

This project focuses on centralizing and standardizing retail data across multiple international branches to enhance data accessibility and analysis. By integrating diverse datasets, the solution enables streamlined reporting, better decision-making, and improved operational efficiency for multinational retailers. The project utilizes data wrangling and automation techniques to ensure seamless data flow across regions.

View Project on GitHub
Software Screenshot

Airbnb Property Listing Data Modeling

This project involves analyzing and building predictive models using Airbnb's property listing dataset. The goal was to explore factors influencing pricing, demand, and customer ratings while applying machine learning techniques to predict property prices based on various features. The project highlights data preprocessing, feature engineering, and model evaluation to derive actionable insights for the hospitality industry.

View Project on GitHub
Software Screenshot

REINVENT4: Generative AI for Drug Discovery

REINVENT4 is a cutting-edge project developed by AstraZeneca that leverages generative AI to design novel drug-like molecules. By utilizing reinforcement learning, this framework enables the generation of molecules optimized for specific drug targets, streamlining the drug discovery process. The project combines machine learning techniques with chemical structure modeling to accelerate the search for potential therapeutic compounds.

View Project on GitHub

Resume Feel free to check out my resume.

View resume

Certificates Here are some of my professional certificates.

Contact Have a question or want to collaborate on a data-driven project? I'm just a message away! Let's talk about science, tech, or anything in between.