I'm a Data Analyst with 3+ years of experience in data-driven research. Passionate about analyzing data to answer complex questions and always looking for challenging projects to continue learning and growing.

🧬 Author of scientific reports on DNA's 3D structure. The following papers demonstrate how we characterize DNA's 3D structure applying network science and statistical analysis tools

1. Mapping the semi-nested community structure of 3D chromosome contact networks (June 2023, PLOS Computational Biology) || Github
2. Mapping robust multiscale communities in chromosome contact networks (August 2023, Scientific Reports)
3. Exploring 3D community inconsistency in human chromosome contact networks (August 2023, Journal of Physics: Complexity)
   

I also have a diverse background in physics, chemistry, and biology, with experience in various roles:
🔬 Built an experimental laser setup to study electronic properties of semiconductors
🧪 Worked as a laboratory chemist, performing quality control and issuing quality certificates in various factories
🎮 Created 2D images and animations for the gaming industry
🎨 Freelance project manager, representing two artists on a freelance platform, searching for clients and managing projects from concept to final product

📂Neural Network and Deep Learning
📂Deep Learning with Tensorflow
📂Mathematical analysis
This folder contains four projects:

1. Central Limit Theorem;
   
2. Find global min of a function;
   
3. Find min of a function;
   
4. Fit an n-degree polynomial to the function.
   

📂Numerical data analysis
Topics:

1. Linear models:
   a) Least squares for linear regression;
   b) Linear classification using sklearn;
   c) Linear regression using sklearn;
   d) normal equation for linear regression;
   e) stochastic gradient descent
   

2. Cross-validation strategies:
   

1. TicTacToe
2. Etch-a-Sketch
3. Calculator
4. Library
5. SignUp form