01
Data Science
Python, Pandas, NumPy, statistical analysis, exploratory data analysis and predictive modeling.
DATA SCIENCE · AI · RESEARCH
Turning data into intelligence.
I'm Abdyreshit Sadyk, a Data Science student focused on machine learning, artificial intelligence, neurotechnology, and computational analysis.
/abdyreshit-sadyk
Python
PRIMARY
ML / AI
FOCUS
EEG / BCI
RESEARCH
01 / ABOUT
Data is the
starting point.
My work sits at the intersection of data science, intelligent systems, scientific research and practical engineering.
I am a Technologies of Digital Economy student with a core focus on Data Science, machine learning and artificial intelligence.
I am particularly interested in extracting meaningful information from complex datasets and transforming analytical results into useful systems and decisions.
My research extends into neurotechnology, where I work with EEG signals, Brain-Computer Interfaces and computational approaches to neurological research.
I combine programming, statistical analysis, machine learning and hardware integration to develop experimental and applied solutions.
Data Science
CORE
Machine Learning
CORE
Artificial Intelligence
FOCUS
EEG Signal Analysis
RESEARCH
Brain-Computer Interfaces
RESEARCH
Intelligent Systems
APPLICATION
02 / TOOLKIT
Technical
stack.
A practical toolkit built around Python, data analysis, machine learning, scientific computing and intelligent systems.
02
Machine Learning
Supervised and unsupervised learning, regression, classification, model evaluation and feature engineering.
03
Programming
Python, R, JavaScript, HTML, CSS and scientific programming workflows.
04
Neurotechnology
EEG signal processing, ADS1299 data acquisition, BCI architectures and signal filtering.
05
Data Applications
Streamlit dashboards, predictive applications, visualization and interactive analytical tools.
06
Scientific Computing
Numerical analysis, time-series data, signal analysis and computational experimentation.
07
Hardware
Raspberry Pi, GPIO, embedded systems, edge computing and hardware-software integration.
08
Developer Tools
Git, GitHub, Streamlit, PyQt and modern development workflows.
03 / SELECTED WORK
Projects that
show the process.
From financial analytics to broader machine-learning experiments, these projects demonstrate practical end-to-end data workflows.
S&P 500 Market Analysis
A machine-learning application for analyzing and predicting S&P 500 market behavior using financial data and predictive modeling.
VIEW PROJECT →
Data Science Projects
A collection of analytical and machine-learning implementations covering the complete workflow from data preparation to model evaluation.
VIEW REPOSITORY →04 / RESEARCH
Where data meets
the human brain.
My research interest extends beyond conventional analytics toward computational neuroscience and Brain-Computer Interfaces.
EEG × Machine Learning
I am interested in using machine-learning methods to analyze EEG signals and extract computational biomarkers that can support research into neurological and neurodegenerative conditions.
This work combines signal acquisition, preprocessing, feature extraction, statistical analysis and machine learning into an end-to-end research pipeline.
pipeline = [
"acquire EEG",
"preprocess",
"extract features",
"model",
"evaluate"
]
goal = "meaningful insight"
05 / CONTACT
Let's work with
data.
Open to research opportunities, data science collaborations, technical projects and conversations around AI and intelligent systems.