Hi! I am Deniz, a Research & Development intern at a French start-up, Mindig.io, specialising in EEG analytics. Moreover, an AI for Sustainable Societies joint master’s scholar in Estonia, Portugal, and Finland.
My passion lies at the intersection of data science, research, and participatory design, where I seek to drive solutions that create meaningful, positive impacts on society. With a strong background in Finance and Statistics, I have been working on Renewable Energy and Circular Economy projects centered around sustainable innovation.
In my portfolio, you will find a collection of projects that reflect my learning, growth, and passion for sustainability and technology. I am always excited to connect with like-minded individuals, collaborate, and explore innovative solutions for a better future.
My passion lies at the intersection of data science, research, and participatory design, where I seek to drive solutions that create meaningful, positive impacts on society. With a strong background in Finance and Statistics, I have been working on Renewable Energy and Circular Economy projects centered around sustainable innovation.
In my portfolio, you will find a collection of projects that reflect my learning, growth, and passion for sustainability and technology. I am always excited to connect with like-minded individuals, collaborate, and explore innovative solutions for a better future.
Work Experience
Research & Development Intern [01/ 07/2025 – present]
- Examine recent publications, papers, and methodologies on EEG data analysis using machine learning, deep learning, and AI solutions.
- Assist in testing Deep Learning models to help advance research or product development.
- Address model inaccuracies and optimize performance through systematic testing and validation.
- Work closely with engineers, data scientists, neuroscientists, and other teams to align AI solutions with business goals.
- Skills developed: Deep Learning, Electroencephalography, Signal Processing, data preprocessing, including noise simulation and artifact removal, to improve AI model training.
Project Manager | Common Gold [ 01/2023 – 01/2024]
- Engaged in all aspects of business planning, from strategy to market research and grant application for the project.
- Ensured collaboration between decision-makers and young Europeans to implement local, national, and European circular economy policies.
- Successfully completed the project, developing three viable B2C business models.
- Became a Certified Trainer on Circular Economy and Sustainability.
- Skills developed: Creative problem-solving, crisis resolution, team leadership, and time management.
Import Export Associate | TPI Composites [ 02/2023 – 08/2023]
- Optimized export and import operations for the supply chain department by conducting in-depth data analysis.
- Assured logistics efficiency and seamless supply chain processes by maintaining accurate records of imports and exports, including tracking shipments, inventory, and documentation.
- Assisted with preparing and processing import and export documents, including commercial invoices, packing lists, certificates of origin, and customs declarations.
- Skills developed: documentation, logistics management, and data analysis.
Business Development Specialist | WEROVER
[07/2022 – 09/2022]
- Analyzed market trends and identified growth opportunities for an AI and IoT-driven technology startup.
- Designed and executed strategic business development initiatives to increase market reach.
- Developed a deep understanding of robotic solutions and effectively communicated technical details to non-technical team members.
- Skills developed: data analysis, market research, and technical communication.
Data Science Projects
I have worked on several Data Science projects that demonstrate my skills in data analysis, visualization, and predictive modeling. These projects span diverse domains, including aviation, e-commerce, climate science, and sustainability reporting. Utilizing tools such as Python, PostgreSQL, and AI-driven frameworks.
Description:
- This data science project explores the factors influencing flight delays and cancellations using Python to process and analyze comprehensive flight data. The dataset includes variables such as departure and arrival times, weather conditions, and airline performance metrics.
- Through data exploration, visualization, and statistical analysis, the project uncovers key patterns and correlations affecting flight punctuality. Leveraging predictive modeling and correlation analysis, actionable insights are provided to enhance operational efficiency, guide airline decision-making, and improve passenger satisfaction in the aviation industry. The project showcases the power of Python for analyzing complex datasets and delivering impactful recommendations.
Description:
- This project explores large-scale weather datasets to predict future climate conditions, focusing on temperature patterns and air quality metrics. Using exploratory data analysis (EDA) and predictive modeling, it aims to uncover trends and provide actionable insights for mitigating climate-related risks.
- The findings will support the development of local strategies to enhance resilience and sustainability in the face of evolving climate challenges. Key techniques include time series analysis, machine learning models, and data visualization to make informed predictions and recommendations.
Description:
- This project presents an in-depth analysis of Brazilian e-commerce trends from 2016 to 2018, leveraging PostgreSQL for database management and Python for data analysis and visualization. The study examines consumer preferences across multiple marketplaces, identifying key patterns and shifts in purchasing behavior.
- Using advanced SQL queries and Python libraries, the analysis explores factors such as product categories, payment methods, delivery timelines, and regional demand. The insights derived aim to assist businesses in optimizing their strategies and enhancing customer satisfaction in Brazil's dynamic e-commerce sector.
Description:
- This project focuses on designing and implementing an ESG (Environmental, Social, Governance) Dashboard for STANDARD, an Estonian furniture company. The goal is to build a comprehensive AI-powered ESG reporting system to enhance transparency for clients, partners, and government tenders.
- Despite unstructured data within the ERP system, the project employs innovative approaches by testing diverse data formats and leveraging Large Language Models (LLMs) with advanced prompting techniques. The initiative aims to transform raw data into actionable ESG insights, aligning with sustainability and compliance goals.
Other Projects
- Towards A Responsible Future: AI Roadmap- Engaging in workshops focused on AI and data-oriented solutions. Skills learned: delegating at an annual conference, teamwork, and organizational skills.
- European Planning Meeting (AEGEE-Europe)-Content management and delivery for a thematic conference of "The European Project: Democracy and Europe after Brexit, COVID, and Russian Ukrainian War". Skills learned: content development, collaboration with diverse stakeholders, logistical success, and organizational skills.
- Circular Economy Training for Trainers- Participated in workshops and lectures on Circular Economy. Skills learned: Pitching, Business Model Canvas, Design and Systems Thinking
- Summer University (AEGEE-Europe)- Coordinated logistics, developed a structured agenda, and designed and facilitated workshops on Circular Economy.
- Sociage (Enactus HHS)- Created activities focused on mental health and inclusivity. Skills learned: creating social networks, teamwork, and teaching essential 21st-century skills.
Biography
- My passion for innovation, sustainability, and data-driven decision-making has led me to pursue opportunities across Europe. I am currently a master’s student in AI for Sustainable Societies, studying in Estonia, Portugal, and Finland.
- I have optimized supply chain processes at TPI Composites and driven business development at Werover, an AI and IoT startup. My leadership in initiatives like Common Gold's Circular Court Project has connected youth and policymakers to implement circular economy policies. At Enactus HHS, I worked on "Sociage", a project aimed at reducing loneliness among the elderly.
- At my current work as a research and development intern, I further contribute by researching methodologies on EEG data analysis using machine learning, deep learning, and AI solutions to tackle real-world challenges.
Contact Information
