Hi there, this is Anson
- 💬 Data Engineering Consultant and Data Insights Analyst
- 🌱 BA Finance & MSc Financial Technology
- 🌱 Completed Le Wagon Data Science & AI bootcamp and AMS & OpenClassrooms Data Analytics bootcamp
- 🥅 Goals: Maximise my learning, contribute to new projects effectively with positive outcomes
- ⚡ Hobbies: playing Badminton 🏸 playing different types of chess, mainly Chinese chess♟️ playing competitive online games 🎮
I am a results-oriented data professional with a strong commitment to unlocking the potential of information. My academic journey began with a Bachelor's degree in Finance and culminated in an MSc in Financial Technology, where I delved deep into the realms of AI, machine learning, big data analytics, NLP, and textual analysis.
Over the years, I have meticulously cultivated my expertise through intensive data science and analytics bootcamps and online courses such as Codecademy, acquiring proficiency in essential tools such as Python, SQL, Pandas, NumPy, and a diverse range of machine learning technologies. My career path has encompassed roles as a Data Engineering Consultant and Data Insights Analyst, where I have consistently made significant contributions to projects that drive data-driven decision-making.
I enjoy working on challenging projects that require creative problem-solving and attention to detail, and I am always eager to learn new technologies and programming languages. I am a motivated and collaborative team player who is dedicated to delivering outstanding results on every project I work on. I am passionate about utilizing my skills and knowledge to help businesses to make better decisions and solutions.
💬 Self learning resources I would recommend
| Name | Description | Tech/tools |
|---|---|---|
| House Price Prediction | Predict house prices using Advanced Regression Techniques, Kaggle Competition | Data Cleaning, Feature Engineering, Model Selection & Evaluation, Hyperparameter Optimization, Ensembling Models, and Neural Network |
| Divvy Bike | A Web app that predicts the availability of share bikes at each station to help the user to find the nearest locations | Tpot, XGBoost Regressor, Decision Tree Regressor, Streamlit |
| Stock Price Data Analytics | Investigating the Relationship between the Price-Earnings Ratio, Price-To-Book Ratio, Dividend Yield, Earnings per share, Payout ratio and Stock Price of Nifty 500 Index – Evidence from Indian Stock Market | Correlation Analysis, OLS regression, Bayesian Linear Regression |
| Financial Information Retrieval (NLP) | Investigate the British newspaper content, social media, and website content and derive the Opposition’s political strategy employed during the crisis | Data Processing, Natural Language Processing (NLP), Sentiment Analysis |
| Web scraping Property sites | Web scraping from Zoopla and Rightmove to retrieve information | Web Scraping- requests and Beautiful Soup |
