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Sueda CIFTCI

Sueda CIFTCI

London, Greater London
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About Sueda CIFTCI:

As a software developer, I have strong programming knowledge of python and hands-on experience in data manipulation and reshaping Big data. Working on Django and MySQL at advanced level within a team helped me to gain outstanding software development, great problem solving and critical thinking skills. During my MSc dissertation, I kicked off my ML journey and I am aspired to pursue my career in Machine Learning and AI.

Experience

Software Developer

Bitjam Ltd | May 2019-Janurary 2020

  • Lead ‘Smart with Your Heart’ project under supervision (Digital health technologies)
  • Blended into the team by operating Linux Operational Systems (Ubuntu), Django, API, venv (Python virtual environment), HTML, MySql, Atom text editor
  • Collected, cleaned and reshaped Big data
  • Deployed software and managed the project between the team via git (Gitlab, GitKraken), frequently meeting clients and managing their requests.

Education

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

DeepLearning.AI | December 2021

  • Learned best practices for using TensorFlow, and how to use convolutions to improve a neural network
  • Built a basic neural network in TensorFlow
  • Trained a neural network for a computer vision application

Machine Learning Certificate

Stanford University | December 2021

  • Data mining and statistical pattern recognition.
  • Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), and best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
  • Leaner regression, Logistic Regression, Neural Network, SVMs
  • K-means, PCA, Anomaly Detection
  • Conducted numerous case studies (MATLAB) and applications developing my skills to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, and database mining.

MSc Advanced Computer Science

Keele University, Staffordshire | December 2019

  • Achieved a scholarship worth £1500 and fee-waiver.
  • Completed a fast-track programming and systems design course through advanced data analysis and the use of private cloud hardware. I excelled in many techniques, including manipulating large amounts of data, designing and building large applications, leveraging and provisioning cloud services and developing autonomous systems.
  • Developed the robust skills needed to become a technology consultant by applying my learning to real-world problems with real clients, using my analysis and design skills.
  • Developed applications to control intelligent systems in a distributed and collaborative context using Java, including the programming of robots or intelligent home appliances.
  • Gained knowledge of database operations and a variety of tools and statistical techniques to make sense of the exponential growth of big data. I learn to understand big data issues, advanced analytics and statistical modelling techniques and evaluate their applicability for different types of problems.
  • Developed a good understanding of Python, R(dplyr and sqldf) with algorithms, data structures, data storage and manipulation and user interfaces.
  • Successfully completed my dissertation “Time-series neural network controller for prostheses for amputee patients with upper limb impairments”, conducting analysis with MATLAB.
  • Achieved a Merit award for my degree.

bachelor's Degree in Mathematics

Karadeniz Technical University, Turkey | January 2016

  • Pure Mathematics, considered comparable to British Bachelor (Honours) degree standard by UK-NARIC

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