My Story

Background story

I am Nikoloz Shubladze, and my journey spans from the competitive waters of professional water polo to the intricate world of data science. For fifteen years, I dedicated myself to mastering the sport, representing Georgia's national team and esteemed clubs like Dinamo Tbilisi on the European stage. The Champions League was my battleground, where I left my mark with stellar performances. My achievements in sports are a testament to my dedication. I clinched the Georgian championship six times, secured third place in the Montenegro championship twice, and garnered numerous accolades including MVP and best goalkeeper titles. With the national team, we achieved remarkable milestones, propelling Georgia to the 8th position in Europe and 10th in the world—an extraordinary feat for our small country.

Education

Transitioning from the pool to academia, I pursued a Bachelor's degree in Computer Engineering, laying the groundwork for my venture into the world of technology. Over the past two years, I immersed myself in coding, mastering languages like HTML, CSS, JavaScript, Python, and C++. My hunger for knowledge led me to complete an intensive Data Science & AI boot camp, clocking in 400 hours of rigorous training.

Today

Today, I channel my passion for problem-solving and analytical thinking into my role as a Data Scientist. My diverse background—forged in the crucible of sports and academia—shapes my unique perspective, blending discipline, strategic thinking, and technical expertise. In Berlin, amidst a vibrant tech scene, I continue to thrive, embracing new challenges and pushing the boundaries of what's possible in data science. My journey stands as a testament to the transformative power of pursuing one's passions and embracing lifelong learning.

Languages

My favorite languages for systems programming and software engineering

Machine/Deep Learning

My preferred technologies for Machine and Deep learning.

Analysis

My preferred technologies for Data exploration, Analysis and visualization.

Tools

My favorite tools for version control, code editing, and container orchestration.

Certifications

Data science & AI - Le Wagon

Le Wagon is a highly acclaimed coding bootcamp offering intensive courses in various tech-related fields, including data science and AI. During my time at Le Wagon's Data Science and AI course, I gained invaluable skills and knowledge in areas such as machine learning, data analysis, statistics, Python programming, and deep learning. The curriculum was meticulously designed to provide hands-on experience with real-world projects, allowing me to develop practical expertise that I can apply in diverse industries. Moreover, the supportive learning environment and guidance from experienced instructors fostered a collaborative atmosphere conducive to growth and exploration.

AWS Cloud Technical Essentials Certification

AWS Cloud Technical Essentials - Coursera

Completing the AWS Cloud Technical Essentials course on Coursera was instrumental in deepening my understanding of Amazon Web Services (AWS). Through concise lectures and hands-on exercises, I gained practical knowledge about key AWS services, architecture, and security practices. This experience equipped me with valuable skills essential for navigating and leveraging cloud technologies effectively in real-world scenarios.

Python - F1 IT Academy

At F1 IT Academy, I completed a Python course where I learned the ins and outs of the programming language. Through a structured curriculum, I gained expertise in Python syntax, data structures, and object-oriented programming. With hands-on projects and guidance from instructors, I honed my coding skills and problem-solving abilities. This experience provided me with a solid foundation in Python, empowering me to tackle real-world challenges with confidence.

Featured Projects

Car Recommendation Engine

I developed Car Recommendation Engine is a smart solution designed to simplify your car buying experience. It uses a predictive pricing model, leveraging a Recurrent Neural Network (RNN) to forecast the future value of vehicles. This not only helps you understand the long-term investment but also ensures that you find a car that fits within your budget while accounting for depreciation.

Check the code! Check the Website!

Dog Breed Classifier

I created the application, that uses a deep learning model to predict the breed of a dog from an image. Please go to the website, upload the image and the app will predict the breed of the dog. The model after testing showed 92% accuracy

Check the Analysis! Check the Website!

My Portfolio Website

I developed and designed a website using html and css, to showcase my web presence, story, work experience, education, projects and achievements in an interactive and visually-appealing format. BTW you are already here 😄

Check the code!

Nikoloz Shubladze Data Scientist • Data Engineer