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Junior Web-Developer / Software Engineer
Posted 1 hour 42 minutes ago by Computerades
Permanent
Not Specified
I.T. & Communications Jobs
Cambridgeshire, Cambridge, United Kingdom, CB1 0
Job Description
Προσωπικά κίνητρα 
Moved from Greece to Cambridge,UK to study Computer Science. Graduated at age of 21 (3 Years of Studies). Currently looking for my next job role in London or Athens.
Experience- IT Specialist, Lexitipon Publications
- Enhanced software performance through thorough testing and configuration, improving efficiency by 20%.
- Conducted comprehensive research to identify and install software, aligning with organizational requirements.
- Maintained and updated network systems, ensuring seamless operations and reducing downtime by 30%.
- Successfully resolved software and hardware issues, optimizing overall system functionality.
- Investment Ideas Platform, Coded in CSharp
- Digitized the investment idea process, increasing efficiency in identifying and evaluating investment ideas.
- Led a full-stack development project assigned by Redgate, collaborating effectively within a team to achieve project goals.
- Automated Emails, Coded in Python
- Developed a Python script to send mass customized emails, increasing communication efficiency.
- Implemented selective recipient criteria based on specific parameters, integrating Google Docs for personalized recipient data.
- AI-Akinator, Coded in Python
- Created an AI-based application to predict a football player by asking questions, using a .csv database with 18,279 columns and 104 rows.
- Enhanced user experience by limiting the maximum number of questions to 20.
- Database Design
- Designed and implemented a database system creating an ERD and normalizing data to 3NF for optimal data management.
- Developed and executed SQL queries for efficient data retrieval and analysis, supporting business processes.
- RandomQuoteGenerator, React
- Created a React application that retrieves and displays random quotes as well as their creators using an API.
- Predictive Analytics for Stock Market Trends, Coded in Python
- Developed a forecasting model using Support Vector Regression (SVR) and historical stock data from 2020 to 2023, focusing on major companies.
- Integrated advanced features such as moving averages, momentum, and volatility to improve prediction accuracy and model performance.
- Anglia Ruskin University (Cambridge): Computer Science BEng (Hons)
Computerades
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