Detail-oriented graduate with first-class honours degrees in Theoretical Physics (BSc) and Data Science (MSc). Skilled in developing and validating predictive models for credit risk, earnings, and stock price movements. Proficient in applying rigorous quantitative methods to real-world problems such as disease dynamics and sentiment analysis. Currently engaged in a high-volume database environment supporting business-critical systems. Eager to leverage technical and collaborative skills as a Quantitative Analyst.
Programming: Python (pandas, numpy, scikit-learn, matplotlib, pandas, tensorflow), R, MATLAB, SQL
Data and Cloud: Relational Databases, Snowflake, BigQuery, Spark, Hadoop, Azure, GCP, Excel, Git, Time Series Forecasting, Natural Language processing, Data Analysis, Data Visualisation
Mathematics and Statistics: Linear Regression, Logistic Regression, Clustering, Classification, Cross-validation, Hypothesis Testing, Mathematical Modelling, Time series Forecasting