MHP – A Porsche Company

- Developing multimodal Retrieval Augmented Generation applications on company data with Large Language Models
- Building an LLM-based Quality Evaluator and ML-based Duplicate Detection Method for Software Bug Tickets

Data Scientist

Bosch Power Tools

- Implementation and evaluation of probabilistic deep learning models for demand forecasting on AWS SageMaker

Master Student Data Science

- Development of a tool for automated data analysis and visualization in SAP Analytics Cloud
- Implementation of time series forecasting and outlier detection models

Working Student Data Science

Mercedes-Benz AG

- Speeding up the assembly process by using machine learning to predict throughput times and errors on Azure Databricks
- Automation of graph visualization for the optimization of assembly analysis

Fraunhofer IPA

- Implementation and evaluation of a generative deep learning model for image data augmentation for cutting edge patterns
- Implementation of scientific papers in Python

Bachelor Student Deep Learning

MAHLE

- Analysis of engine data and application of machine learning for prediction in piston temperature measurement

Intern Data Analysis & IT Project Management

I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, Data Scientist at MHP.

Applying new technologies and methods in Data Science is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

Energy Skills Queensland

I lead tech in ESQ

What do we do?
Energy Skills Queensland is the leading, independent, not-for-profit organisation providing innovative solutions to enable a skilled and safe energy industry. Supporting the electricity, oil and gas, mining, renewable and telecommunications sectors, Energy Skills Queensland engages, researches and develops products and services that align to the current and future needs of our stakeholders.

IT lead

Junior Engineers

Junior Engineers delivers fun, engaging and educational programs in coding and robotics for kids aged 7 – 15 to promote positive harmony of STEM.

A safe place to work for female

Instructor (coding and robotics)

Expect A Star

Casual Educator and support worker.
Supporting children's growth has been rewarding.

Educator (OSHC)

SpaceTimeNoise

My role as a principle consultant at SpaceTimeNoise is to help tech startups and organizations leverage modern C++ effectively to develop high performance, reliable and maintainable software solutions. I have worked with clients from audio, music tech，FinTech, logistics, soft robotics. 
All services provided at the basis of legacy development, include but not limited to
- Code review and optimization
- Custom software development, including derive solutions from scratch, design architecture, coding, testing
- Debugging and troubleshoot
- Consultation and guidance
- Performance tuning
- Porting and migration
- Security vulnerability assessment
- Documentation
- Project management
- Code standardlization
- Code Migration
- Direction and Strategy
- Structural Enhancement
- Expert Advice, architectural scaling 
- Skill Development
- Code review 
Past:
Audio detection (completed 2022, scaler 2.5 audio detection)
Data driven infrastructure of plugin emulation ;
3D printer coding (algorithm, 2022)
Code review and C++ language specifications (completed 2023)
Current: Fully devoted to https://isocpp.github.io/CppCoreGuidelines

C++ specialist/architect/engineer/IT support

Volmex Labs

Backend C++ Development
Builder of implied volatility index with C++

C++ Backend Consultant 

Tonicbits

Audio Detection - Test, Development & Support
Linux build, cross platform development
I work as a C++ contractor under my own ABN

C++ Audio Linux contractor

Freelance C++ fintech

As a hobby outside my postdoc appointment, I collaborate with a team of Physicists and computer scientists with an aim to build the next gen, HFT-friendly Financial Derivatives Exchange. My role is a code developer and the API designer at the C++ end. Specifically,
I built a C++17 *Asynchronous SDK with callback that connect with Bitwyre's REST API. Currently I'm implementing a couple of trading bots (sync, async).

C++ Open Source Freelancer (Remote)

Concordia University

Principal investigator for 
1) Generalized Optimal Sparse tree optimization : Interpretable ML (Corporate partners::Thales) ; 
2) Compiler development for domain specific languages; Graph theoretic approach to district heating and cooling (Canada Excellence Research Chairs::Next Generation Cities);
Scientific computing (Implement graph theoretics concepts and build thermal-hydraulic-electrical solver in C++);
Supervise PhD students (Mechanical Engineering)

C++ Developer

Robotic Company (Arrival)

Software Engineer C++

University of Technology Sydney

Implement an explicit algorithm of the Hawkes intensity function in C++ (ongoing); 

Compute the conditional expectation of the future intensity having observed past counts (discontinued);

VC dimensions and Radamacher/sample complexivty of deep neural network (ongoing).

Honorary research associate at FEIT

Main theme: Computational Social Science
I was responsible for two projects:
1. Theoretical development/prototype implementation of Stochastic Information Diffusion models for modelling online behaviour, based on an exogenously-driven Hawkes self-exciting processes. (Lead Mathematical Component)
2. Adaptative Skills Taxonomy to Labor economics: Spatial-temporal dependency modelling of Australian Labor Market. Completed temporal dependency modelling with copulas)
Worked with a group of over 10 scientists and engineers (UTS-Data61). Lead mathematical /statistical modelling and algorithm development

Postdoctoral Research Associate

Courses taught:
Mathematical Methods for Physical Science
Linear Algebra 
Quantum Physics 
Mathematical Modelling to Sciences 
Advanced Mathematics and Physics (Lead)
Linear Dynamical Systems 
Mathematical Modelling 2 
Statistics and Mathematics for Science 
Intro to Mathematical analysis&Modelling 
Mathematical Modelling to Sciences 
Mathematical Modelling 1 
Mathematical Analysis (35102, Spring 2012)
Foundation Mathematics 
Computational Linear Algebra 
Mathematics Study Centre (2011, 2012, 2017,2018, help students with a wide range of problems from MATHS, EE, STAT, QFIN&ECON)
Experienced Final Exam markers of a variety of junior and advanced mathematics subjects

Senior Tutor

Leanne provides strategic technical leadership at ESQ. She primarily focuses on building a scalable efficient low latency energy database for Queensland. She is a software/infrastructure oriented developer with a passion in community. She received her PhD in Mathematics from USYD specialised in stochastic Atmospheric fluid dynamics. She completed Postdoc fellowships in computational social media and environmental system engineering. In the past, she has worked as a C++ developer in robotic, audio, fintech, engineering and logistic. She has a background in art.
She enjoy building performance-critical server-side applications and services. A frequent contributor to open-source projects.She work with many languages including Python, C++, and C under Linux/Unix environment. 
Subscribe Coursera annually to keen up to date with my past experience in development and regularly conduct self-training under my community LinkedIn learning account provided by local libraries.
Over the weekend she is completing her Diploma in IT at TAFE Queensland full time.
Australian citizen
Follow tech stack at
github.com/leannejdong

Outside computers Leanne enjoy swimming, climbing, jogging, eating and tidying my home.

taplio

The Battle

Banias Baabe

Leanne Dong Ph.D

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