Adrian Mircea Nenu

MSc in Business Analytics

University of Bath, UK, 2020 - 2023

Dissertation on Dynamic Time-Warping for clustering market data to enhance investment strategies by identifying asynchronous market patterns.

BSc in Computer Science

University of Manchester, UK, 2013 - 2017

Dissertation on non-intrusive native JVM agents for capturing the internal state of live production applications during critical failures.

Micromasters in Statistics and Data Science

Massachusetts Institute of Technology, US, 2025 - 2026

As nothing beats a structured and committed approach to learning, deep-diving into statistics (Larry Wasserman) and probabilities (Bertsekas, Tsitsiklis), and their use in machine learning and data science, from the fundamental theory, building and sedimenting understanding from the bottom up.

Artificial Intelligence Programme

University of Oxford, Saïd Business School, UK, 2025

Took off the theoretical engineer hat and put on the real-world problem-solving hat, where ethics, policy and business goals come to the forefront. Connected with individuals from across the world, at different levels of seniority and at diverse points in their lives, which taught me so many new perspectives on the problem of artificial intelligence and its deployment at scale.

Basta Software Engineer Program (B-SWEP)

Supported undergrad students participate in a 10-week virtual experience to prepare for interviews and a career in software development.

Googler to Googler

Provided personal and career development support for googlers around the world.

Reinforcement Learning Specialisation

University of Alberta via Coursera

Closely following Sutton and Barto, exploring RL both theoretically and practically in this course by Martha and Adam White.

Machine Learning Specialisation

University of Stanford via Coursera

Andrew Ng deep-dived into the mathematical fundamentals of machine learning, focusing on supervised, unsupervised and reinforcement learning. It taught me how much more there always is to learn.

Deep Learning Specialisation

DeepLearning.ai via Coursera

Machine Learning Statistical Foundations

Wolfram Research via LinkedIn Learning

TensorFlow 2 for Deep Learning Specialisation

Imperial College London via Coursera

tfb.Chain([tfb.RealNVP(num_masked=2, shift_and_log_scale_fn=lambda x: tf.keras.layers.Dense(4)(x))])

Intermediate Calculus

University of Oxford, Department for Continuing Education, 2025

dy/dx = (dy/du) * (du/dx)

Psychology: An introduction

University of Oxford, Department for Continuing Education, 2025

Google Cloud Professional Developer

Google Cloud - 2023

AWS Associate Developer

Amazon Web Services - 2023