Swinburne University of Technology

Working on research project to build a new systematic artificial intelligence program using intricate machine learning classification and regression algorithms to predict heart disease using dataset from UCI repository. 
These techniques require the adaptation of high level feature engineering strategies to acquire an accurate smart medical technology. 
This new technology can interpret detailed analogies of patients to create a sustainable, normalized algorithm that predicts different types of heart disease directly proportional to the valves diameter narrowing. 
This technology utilizes a combination of R programming language to visualize and preprocess the dataset accordingly and python language to utilize the agility and robustness for an enhanced classification technology.

Machine Learning Researcher

Fiverr

Dealing with segregating data for different online businesses 
Cleaning repetitive data 
Inputting data into database 
Having to deal with images and string format
High level focus on detail

Data Entry Associate

- Teaching statistical methodologies to RMIT university students studying Statistics & Data Analytics

- Helped RMIT university students with statistics and marketing-related assignments 

- Worked with my students to plan and construct a strategy to tackle difficult projects that required Data analytics and statistical expertise. These involved but not limited to: 
- Ideation stages of understanding the problem and planning a timeline for each member of the group to perform their roles accordingly. 
- Processing stage where the group started showing improvements on their allocated tasks. This stage heavily utilized proficient MS Excel expertise. 
- Finalizing stage which involves organizing the ideas together in a compact format to present the project in a visually pleasing and effective manner to the client.

Private Tutor

A Biomedical Engineer with a minor in Data Science from Swinburne University of Technology, and an advocate for the transformative power of digital health in achieving health equity and patient-centric care. My academic and professional journey is rooted in the belief that sustainable healthcare ecosystems are crafted through the ethical and responsible application of AI technologies.

With experience in data analytics and a passion for enhancing healthcare delivery, I strive to bridge the gap between technical innovation and patient welfare. I actively engages in dialogues and initiatives that push for better outcomes, grounded in fairness and accessibility for all.

If you share a passion for innovative healthcare solutions and believe in the power of digital health to shape the future, join my network. 

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