Efe Hoplamaz

Hello World!

My name is Efe Hoplamaz and I am originally from Istanbul, Turkey. I now work as a Machine Learning Engineer at smartr.ai in Edinburgh, UK.

My interests heavily lie in machine learning, software engineering, data science & analysis, and Internet of Things technologies. I am motivated to use my machine learning, statistics, and software engineering knowledge to create in-depth analysis, predictions, and end products for people. The possibility of positively influencing someone's life with my knowledge makes me eager to start my work every day.

Table of Contents
  1. Experience
  2. Education
  3. Languages

Experience

Machine Learning Engineer November 2021 - Present
smartR.ai Edinburgh, UK
  • Implemented a novel Spatial Transformer architecture and integrated it into an endto-end key-point detection architecture to increase the key-point detection repeatability and accuracy for 3D point cloud construction.
  • Built an ETL pipeline for the key-point detection task to effectively scale up a curated dataset.
  • Developed a probabilistic reinforcement learning model for optimizing the cell growth rate in a bioreactor system by stabilizing codependent variables.
  • Leveraged knowledge in Computer Vision, probabilistic modeling, cloud computing, Unix-shell, PyTorch framework, C++ language, building a data pipeline and feature engineering.
Data Scientist Intern July 2020 - September 2020
QNBeyond Istanbul, Turkey
  • Analysed QNBFinansbank’s internet banking customers’ behavior and clustered them based on their internet banking usage frequency.
  • Improved QNBFinansbank’s the next possible transaction date reminder system accuracy for the frequent internet banking users by 2% by building a time-series forecasting machine learning model which estimates the next possible transaction date for a specific internet banking customer.
  • Leveraged knowledge in clustering techniques e.g. hierarchical clustering, time-series analysis & forecasting, evaluating SQL queries on structured databases, Python Data Science libraries frameworks like scikit-learn, pandas and Python visualization library matplotlib.
NLP Engineer Intern May 2019 - June 2019
VeriUs Technology Istanbul, Turkey
  • Collaborated with fellow interns and developed a sentiment analysis algorithm to classify film reviews in the Turkish language.
  • Leveraged knowledge in sentiment analysis, text preprocessing techniques, Python Data Science libraries frameworks like scikit-learn, pandas and interactive computing platform Jupyter Notebook.

Education

Artificial Intelligence and Computer Science September 2017 - May 2021
University of Edinburgh Edinburgh, UK
  • Grade Obtained: First-Class Honors (71%)
  • Key Modules: Algorithms and Data Structures, Linear Algebra, Machine Learning and Pattern Recognition, Deep Learning, Database Systems, Software Engineering & Software Testing
  • Dissertation Project: End-to-End Audio Event Detection with Transformers for Biodiversity Monitoring
High School September 2012 - May 2017
American Robert College of Istanbul Istanbul, Turkey