Python script to detect vulnerabilities inside PHP source code using static analysis, based on regex

This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨‍💻📊📈

Static and Dynamic Analysis of Malicious Codes

Upgraded version of Fastbot robot with a mixed-criticality goal

A/B testing analysis for multimedia instruction effectiveness at SPbPU.

Implementing statistical analysis on data

Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku

All-in-one Rust performance benchmarking toolkit with synthetic workload testing and statistical analysis

Use Statistical Analysis to understand the performance of MechaCars perfromance

Prediction using Decision Tree Classifier

Downloaded and analyzed a dataset from Kaggle using NumPy and Pandas created visualizations with Matplotlib and Seaborn developed a Flask web application to showcase data insights and conclusions.

client subsection to a term deposit

Welcome to a collection of data analysis projects designed to help explore key techniques and enhance skills. Each project covers a variety of topics, offering hands-on experience in data cleaning, EDA, statistical analysis, and visualization.

Exploratory data analysis identifying the customer behavioral drivers of annual revenue for an e-commerce platform using Python. Performed correlation analysis across customer metrics to surface the strongest revenue predictors and inform data-driven business recommendations.

Analyzing housing complaints in New-York-City and develop a forecasting model

JANDA - is a powerful malware static analysis tool designed to provide detailed insights into malicious files. This tool is particularly focused on extracting essential information such as hexadecimal representation, file strings, file hash value, file extensions, and check the file on the VirusTotal website for additional analysis.

During my internship, under the supervision of a researcher, I was provided with data and carried out the analysis independently.

Heart Disease Analysis project in RStudio using statistical methods and data visualization. Includes data cleaning, exploratory data analysis (EDA), correlation study, and insights on key health indicators influencing heart disease.