Software engineer focused on applied ML, NLP, and LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cam-sentiment-analysis-and-text-classification
March 28, 2026 – Present
cam-sentiment-analysis-and-text-classification — repository
View Projectstudent_dropout_prediction
March 25, 2026 – Present
An end-to-end machine learning project predicting student dropout risk using supervised learning across staged data inputs.
View Projectml-wikitutor-rag
February 23, 2026 – Present
A Retrieval-Augmented Generation (RAG) app that lets you chat with a curated ML/AI knowledge base using OpenAI embeddings and a local vector database (Zvec).
View Projectcam-ds-course-1-project-2
December 17, 2025 – Present
A customer segmentation project using unsupervised learning to group customers based on purchasing behaviour and customer value.
View Projectcam-ds-course-1-project-1
December 10, 2025 – Present
An anomaly detection project using IQR, One-Class SVM, and Isolation Forest to identify abnormal ship engine behaviour from sensor data.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong personal drive and initiative in exploring various data science and machine learning domains. The diversity of projects, from traditional ML to RAG applications, suggests a curious and self-motivated individual. However, without team-based projects or work experience, assessing collaboration and adaptability for cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.