Position: Python Developer, Data scientist, machine learning engineer
Category: Data Science
English level: fluent
Years of experience: 1

I have successful been able to apply machine learning and AI techniques to solve real-world problems, leveraging on recent AI tools like ChatGPT, Bard , Notion etc.
I'm a data scientist with 1.5 years of experience in predictive modeling and data analysis. I have extensive experience in using several machine learning techniques and tools to provide cutting edge solutions to real world problems.

I have worked on several data science and machine learning projects, but the one that stands out for me the most is working on a project called "Financial Fraud Statement Detection". 

In this project, my team was given a dataset containing financial statements from companies spanning across different industries like construction, logistics etc. and we were tasked to use features like EBITA, Revenue, Default Status etc. to find patterns between similar statements in the dataset. Since there was no ground truth given in the dataset (no labels) as to whether a financial statement was fraudulent or not, We applied an ensemble of 3 unsupervised machine learning techniques, these techniques include; Isolation forest model, Auto-Encoders and Ratio Analysis, After obtaining classifications from each of the models, an ensemble model was formed in the following pattern:

1. If all the models indicates a statement is not fraudulent, we classify that as “Not Fraudulent” with a Fraud Probability of 0

2. If 1 out of the 3 models indicates a statement is fraudulent, we classify that as “Unlikely Fraudulent” with a Fraud Probability of 1/3 or 0.33

3. If 2 out of the 3 models indicates a statement is fraudulent, we classify that as “Likely Fraudulent” with a Fraud Probability of 2/3 or 0.67

4. If all 3 models indicates a statement is fraudulent, we classify that as “Fraudulent” with a Fraud Probability of 3/3 or 1.

After this model was developed, we launched the solution in form of a streamlit application and deployed on AWS EC2, where a user an upload their financial statement and get the classification in real time.
I expect to apply cutting edge machine learning and AI technologies to solve real world problems and also 10X my productivity while doing so.