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Valentyn Panasiuk

Offer Valentyn work on your next project.

Ireland Galway, Ireland
24 days 3 hours back
Available for hire available for hire
age 18 years
on the service 3 months 12 days
  • web developer
  • telegram python bot
  • python
  • telegram bot

Rating

Successful projects
No data
Average rating
No data
Rating
375
Bot Development
250 place out of 1904
C#
103 place out of 1200

Language proficiency level

Українська Українська: fluent
Русский Русский: fluent
English English: advanced
Polski Polski: intermediate

CV

Motivated Software Developer and Web Designer with experience in Java, C#, and modern web technologies (HTML, CSS, JavaScript). I also create visual content and UI concepts using Adobe Photoshop, Illustrator, and InDesign. I combine technical skills with design thinking to build clean, user-friendly, and visually engaging solutions. Reliable, fast learner, and committed to delivering quality work on time.

Skills and abilities


Architecture

Administration

Portfolio


  • IQ Water Company Website

    Web Programming
    Developed a responsive company website for a water delivery and water machine business inspired by a real commercial platform.

    The project was created using HTML, CSS, JavaScript, and Bootstrap. The website includes interactive product cards, animated customer reviews, modal windows, navigation features, and multiple responsive pages.

    Features:
    • Responsive modern website design
    • Interactive product catalog
    • Dynamic JavaScript review slider
    • Modal windows for product overview and ordering
    • LocalStorage integration for order data
    • Multi-page navigation system
    • Smooth scrolling and UI interactions
    • Mobile-friendly layout using Bootstrap Grid System

    Technologies used:
    HTML5, CSS3, JavaScript, Bootstrap, Web Storage API
  • AI Login Suspicious Activity Detector

    AI & Machine Learning
    Developed a machine learning web application that detects suspicious login attempts based on user behavior and security-related indicators.
    The project was built using Python, Streamlit, Pandas, and Scikit-learn. The AI model analyzes login parameters such as unusual location, risky IP address, failed login attempts, login time anomalies, and new device detection to predict whether a login attempt may be suspicious.
    Features:
    Machine Learning prediction system
    Interactive web interface using Streamlit
    • CSV dataset processing and AI model training
    Real-time suspicious login probability analysis
    Cybersecurity-oriented use case
    Technologies used:
    Python, Streamlit, Pandas, Scikit-learn, Pickle

Activity

  Latest proposals 1
Checking and editing tourist programs for Paris
30 USD