Data analyst with expertise in Financial Investigator and a Fraud Investigator

Built a Convolutional Neural Network (CNN) to automate object recognition across 100 image classes using the CIFAR-100 dataset.
Implemented deep learning architecture with convolutional, pooling, and dense layers for feature extraction and classification.
Achieved strong classification performance, demonstrating effective image recognition using CNN-based models.

Developed an LSTM-based model to analyse human pose and gesture data from 3D skeletal sequences in the KIMORE dataset.
Performed preprocessing including normalization, feature extraction, and data augmentation for time-series learning.
Compared LSTM with CNN and RNN models to evaluate performance in rehabilitation movement prediction.

Designed a hydrostatic thrust bearing system focused on minimising power loss under axial load conditions.
Analysed key parameters including flow rate, geometry, and fluid viscosity to optimise performance.
Demonstrated how pressurised fluid films reduce friction, wear, and improve load capacity.

Developed a ray tracing engine to generate photorealistic images through simulated light-object interactions.
Implemented ray-object intersection algorithms to render reflections, shadows, and refractions accurately.
Improved understanding of computer graphics, rendering pipelines, and light physics.

Built a real-time chat server to demonstrate parallel computing and scalable communication systems.
Enabled message exchange, media sharing, and user presence management through efficient networking design.
Strengthened skills in server architecture, concurrency, and real-time application development.

Used PostgreSQL to analyse international student mental health data, focusing on depression, stress, and social connectedness.
Wrote SQL queries to explore relationships between PHQ-9, SCS, and acculturative stress over time abroad.
Identified key predictors of mental health outcomes through structured relational database analysis.

Analysed treadmill supplier market share and growth trends using Excel-based data modelling and comparison techniques.
Evaluated sales performance across multiple brands to identify distribution and yearly growth patterns.
Generated insights to support competitive understanding and data-driven decision-making in the fitness market.