Practicus AI is the modern Data Science platform that combines ease of use with powerful features. Under the user-friendly interface, we offer you a scalable, flexible, and open-source data stack, helping you solve your most complex data problems.

NextRay is an AI-based Cyber Security company. NextRay AI provides advanced and proactive solutions that help customers from complex threats. ● Collecting data of cyber attacks by building automate cyber attack algorithms. ● Analyzing and cleaning corrupted network data. ● Analyzing behavioral aspects of cyber attacks.● Developing machine learning models and suricata rules for different cyber attacks such as DNS Exfiltration, Web Shell etc.● Creating and deploying pipelines for different data science projects.

HSDSLab is a group of researchers at the Budapest University of Technology and Economics advocates the use of data and network science methods and data-driven solutions within social and behavioral sciences, human resources, and human health.Skills gained,Web Scraping Techniques:• Proficiency in using Python libraries such as BeautifulSoup and Scrapy for web scraping.• Ability to navigate and extract data from various types of websites.HTML and CSS Understanding:• Familiarity with HTML and CSS structures for effective web page parsing.• Ability to inspect and understand website elements for data extraction.XPath and Selectors: • Knowledge of XPath and CSS selectors for targeting specific elements during web scraping.Data Cleaning and Preprocessing:• Skill in cleaning and preprocessing scraped data to ensure accuracy and consistency.• Handling missing or incomplete data during the scraping process.Automation Skills:• Automation of web scraping tasks using Python scripts for efficiency and repeatability.Handling Dynamic Content:• Experience in dealing with websites that use JavaScript and dynamic content loading during scraping.Proxy and User-Agent Management:• Understanding of how to use proxies and manage user-agent strings to avoid IP blocking.Competences gained,• Data Extraction from Various Sources: Ability to extract structured data from a variety of websites, forums, or other online platforms.• Challenge Resolution: Problem-solving skills related to overcoming challenges encountered during web scraping, such as anti-scraping mechanisms.• Large-Scale Data Retrieval: Experience in efficiently scraping large datasets from multiple web pages or sites• Coding Proficiency: Enhanced coding skills in Python, particularly in relation to web scraping tasks.

● Started to teach about machine learning developing process and web scraping process as a teaching assistant at Miuul. ● Responsible of 30 participant on every educational cycle as a mentor assistant.● Giving classes about Git/GitHUB● Giving classes about Web-scraping (Selenium and BeautifulSoup) ● Giving classes about Knime● Giving classes about Scrum Software Development Framework

Miuul is a teaching platform for bootcamp of Data related areas where the trainers are experts in data science, have industry experience and have been training professionals. As a Data Science Bootcamp participant, I've learned about:Python Programming for Data Science:● PyCharm, Virtual Envs, Dependency Management● Numpy, Pandas, Exploratory Data Analysis (EDA)● Data Structures● Functions, Conditions, Loops, Comprehension● Data Analysis with Python, Data VisualizationCRM Analytics● RFM (Recency-Frequency-Monetary) Analysis, Segmentation● KPI (Key Performance Indicator), Cohort Analysis, Churn Analysis● Customer Lifetime Value (CLTV)● Customer Lifetime Value Prediction● BG-NBD : Expected Sales Forecasting● Gamma-Gamma : Expected Average ProfitMeasurement Problems● Product Rating● Product Sorting, Review Sorting● A/B Testing, ANOVARecommendation Systems● Association Rule Learning● Content Based Recommendation● Item Based Collaborative Filtering● Used Based Collaborative Filtering● Model Based Matrix FactorizationFeature Engineering● Outliers● Missing Value● Encoding Scaling (Binary, Label, One-Hot, Rare)● Feature Extraction, RegexMachine Learning● Basic Concepts● Linear Regression, Logistic Regression● KNN● CART (Classification & Regression Tree)● Advanced Tree Methods● Unsupervised Learning● Artificial Learning PİpelineQuerying MS SQL● SQL● Queries in Relational Database

Ibn Haldun University is a private collage and Project Support Office, which started its activities in 2017, carries out the processes of developing projects for national and international grant programs and opportunities within the Ibn Haldun University.● Making analysis and data reporting of project metrics (monetary, recency and frequency).● Creating dashboards and annual reports in line with academic needs.● Collecting and reporting projects calls by using web scraping algorithms (with Python) .● Preparing presentation and education about project management process (Agile and Waterfall methods). ● Supporting on fulfillment of requirements at different project calls.● Supporting foreign academicians on application and planning process of project calls.