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based in Cluj-Napoca and Satu-Mare, Romania.
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AboutMe

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More about what I did and who I am

During my studies, I gained significant experience through a highly sought-after internship, which not only provided hands-on skills but also helped me build important professional connections. This experience has led to a fulfilling career in software engineering that has lasted over three years now. In addition to my work in software, I am actively involved in Artificial Intelligence and Data Science research, collaborating with a deep tech Canadian startup. My passion for technological innovation drives me to contribute meaningfully to this dynamic field, supported by a steadfast commitment to continuous learning and excellence.

Name: Cigan Oliviu David

Email: ciganoliviudavid@gmail.com

Lives in: Cluj-Napoca, Satu-Mare

https://www.linkedin.com/in/oliviu-david-c-72489015b/https://github.com/CiganOliviuhttps://www.whatsapp.comhttps://medium.com/@ciganoliviudavid
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Summary

Resume

My Education

2020 - 2024

Automation & Applied Informatics

Technical University of Cluj-Napoca

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Throughout my academic journey, I explored an extensive array of courses spanning diverse disciplines. However, it was the development of soft skills that truly stood out. Among these, mastering stress management, cultivating discipline, honing a robust work ethic, and fostering valuable networking capabilities were paramount. Truthfully, I've found these skills to hold far more significance than the academic knowledge acquired within the classroom setting. During my academic years, I discovered the art of accomplishing tasks even when my inclination veered towards delay or reluctance. Meeting deadlines became a skill honed through the necessity of completing tasks on time, a valuable trait nurtured both in school and later as a software engineer. While professional experience played a significant role, the foundations of this skill were laid during my educational journey...
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2016 - 2020

Mathematics and Informatics

Theoretical High-School Carei

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During high school, I delved into the world of coding and algorithms, immersing myself in languages like C, C++, Java, Python, and C#. I was eager to explore every aspect of programming – from web development to mobile apps and even a bit of machine learning. Books like "Clean Code," "Clean Architecture," "Refactoring," and "Implementation Patterns" were my go-to resources, although they felt pretty advanced back then. Still, they fundamentally shaped how I approached software engineering, teaching me the mindset and behavior of a proficient software engineer.
 
I spent a good chunk of time participating in web development contests, working with PHP, Laravel, Python Django, JavaScript, jQuery, HTML5, and CSS3. I was also actively involved in school projects centered around website development. These experiences sparked a deep passion for technology and software engineering within me, paving the way for my future pursuits in the field.

My Experience

2024 - Present

Data Scientist

Alphablock Technologies

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I am part of the development of next-generation investment models and conduct in-depth financial research. Utilizing tools like Python, Scikit-Learn, Matplotlib, and Pandas, I process large datasets to identify valuable insights. My work centers on creating robust, data-driven models that inform investment strategies, while simplifying complex data for easy interpretation.
2022 - 2024

Machine Learning Researcher

ADAPTED Research Group

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I collaborated with the ADAPTED team and Canadian startup Alphablock on a year-long research project focused on finance, titled 'Revolutionizing Active Investing with Machine Learning.' Throughout this project, I strengthened my skills in machine learning, data processing, and data analysis, while also delving into fundamental financial concepts for our analysis. The research process was iterative and flexible, starting from data acquisition and preprocessing, through pattern analysis, to drawing conclusions and implementing the 3N method for predictive purposes using machine learning. Our goal was to identify the most effective machine learning algorithm for maximizing returns based on the available data.
2021 - Present

Software Engineer

3Screen Solutions

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In my current position, I'm deeply involved in enhancing, implementing, and maintaining features linked to Data Analytics and User Journey Tracking. I take designs from Figma and turn them into functional components, collaborating closely with our design crew. Managing data, integrating third-party tools for ads, image rendering, and tying everything together with backend systems is all part of the gig...
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August - September

Software Engineer Internship

3Screen Solutions

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During my internship, I collaborated with a team of five to build a basic VOD web app using ReactJS. My responsibilities included implementing features like the Authentication System, Custom Fetching mechanisms, error boundaries, various design elements, and addressing responsive design challenges. I also learned about Agile methodologies, teamwork dynamics, and effective communication. Additionally, I gained experience in deployment systems and CI/CD, using Git and GitLab for version control, and participating in daily stand-up meetings to ensure seamless team coordination.
 
That internship gave me a solid mix of tech skills and the softer side of things. It went so well that I landed a Software Engineer job afterward, and I've been working in the industry ever since!

Software

Articles

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Performance in modern Software

14 March 2024

Back in the late 90s and even before, computers were pretty basic compared to today’s beasts. They had simple processors and not much computing power,...
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What is work ethic

12 March 2024

Work ethic, like many other parts of life, is highly subjective and differs from person to person. With that said, I’d like to share my understanding ...
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How business knowledge can increase your value as programmer

26 February 2024

A big part of being a senior is the mentality, and what makes a difference is not always the technical side. I’ve discussed about this in one of my ar...
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Data Science

Articles

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The Systemic Cluster: An Analysis of S&P 500 Performance Over 24 Years Using K-means Clustering

11 April 2024

This paper presents an empirical study of the S&P 500's performance over a period of 24 years, utilizing a novel approach termed "The Systemic Cluster...
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https://www.linkedin.com/in/oliviu-david-c-72489015b/https://github.com/CiganOliviuhttps://www.whatsapp.comhttps://medium.com/@ciganoliviudavid

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