About me

Loves being active in communities, rock music lover, and self-taught learner. Experienced in data analytics. Skilled in machine learning and systems, and data science. Curiosity and passion about learning new technologies and implementing new ideas. Ability to work in teams and multidisciplinary settings.

What i'm doing

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    Data Analysis

    Examine (large) datasets to uncover meaningful insights and help you make data-driven decisions.

  • Learning: MLOps

    Integrates model development, training, deployment, and sustainability processes to ensure the successful implementation and maintenance of machine learning projects.

  • Other Techs

    Curious about web development and software architectures. As an engineer, I love all systems.

  • Community Leader

    Lead university societies/communities. I like talking and working with people.

Tech Stack

  • Highlight Competencies

  • I can handle

Soft Skills

  • Self-taught learner

  • Solution-oriented

  • Team player

  • Adaptability

Daniel lewis
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Resume

You can reach my CV in PDF format by clicking here.

Experience

  1. Data & Analytics Intern

    Unilever

    Jun 2023 — Present

    ✥ I am currently undertaking a 6-month internship through the Data & Analytics Gennext program.

  2. Data Analyst

    Jotform

    Sep 2022 — Jun 2023

    ✥ I have collaborated with multiple teams, providing them with the desired data and data analyses.
    ✥ I conducted thorough data analysis, identifying patterns, trends, and correlations to uncover key business opportunities.
    ✥ I have assisted individuals with varying levels of technological knowledge in data-driven decision-making processes.
    ✥ I have worked on low-cost, results-oriented SQL queries in Google Cloud.
    ✥ Additionally, I have had the opportunity to work with individuals from various domains.
    ✥ Tech: Python, SQL, Google BigQuery

  3. Data Analyst Intern

    Jotform

    June 2022 — Aug 2022

    ✥ I have performed a pricing page funnel project, where I transformed a scattered dataset containing logs of user interactions on the pricing page into a meaningful format.
    By doing so, I have worked on user conversion values and examined user insights to gain valuable insights into their behavior and preferences.

    ✥ Handled Topics: Data Cleaning, Manipulation, and Visualization.
    ✥ Tech: Python, Numpy, Pandas, Seaborn, Matplotlib, SciPy, Plotly
    ✥ Additional, I built a basic app on RDS (Remote Developer Server) using Linux, WSL, SFTP, SSH, MySQL, React JS, API, Github, pnpm techs.

Education

  1. University of turkish aeronautical association

    Computer Engineering, BSc

    Sep 2019 — June 2024

    ✥ 1 Year - Preparatory School (English)
    ✥ The theoretical courses I took and found most beneficial are as follows: Natural Language Processing, Machine Learning, Intro to Deep Learning, Digital Image Processing, Data Analysis

  2. Politechnika Częstochowska

    Computer Science, BSc

    Oct 2021 - Mar 2022

    Attended Erasmus+ Exchange Program

Communities

  1. Global AI Hub

    Core Member

    Feb 2022 - Jan 2023

    ✥ I contribute to the 10million.AI project to increase awareness of artificial intelligence.

  2. Big Data Turkey

    AI Team Member

    May 2021 - Aug 2022

    ✥ For the BAYES project, I prepared many educational materials about "Data Science".

  3. Google Developer Students Club - UTAA

    Core Team Lead / AI Team

    Dec 2019 - Jan 2023

    ✥ I organized both online and in-person events, handling resources, planning, and execution.
    ✥ I formed software groups and offered software solutions.
    ✥ I provided guidance, resources, and planning assistance to individuals interested in starting software development.
    ✥ I conducted training sessions for members on various topics including Python 101, Python 102, Java 101, Numpy 101, and Pandas 101.

Awards

  1. AWS ML Scholarship: Machine Learning Nanodegree Course

    07/2021

    ✥ I successfully completed this course on Oct 12, 2021, and provided a comprehensive, practice- based tutorial on how to solve machine learning problems step-by-step, software engineering practice (e.g. clean and modular code, code efficiency, refactoring, documentation, etc.), and AWS Cloud.

  2. Bertelsmann Scholarship: Intro to ML with Tensorflow Challenge Course

    12/2021

    ✥ I got a scholarship for Technology Scholarship Program powered by Bertelsmann for the Intro to ML with Tensorflow Challenge Course

  3. Hackathon: Türk Telekom İşin Geleceği | 3rd Place,

    05/2021

    ✥ As a team, we developed a prototype that supports remote working culture using Artificial Intelligence and Augmented Reality technologies.