This project aims to build machine learning pipelines for two tasks: accurately classifying images as rice or chips and determining if a dish is from Indian cuisine.
Software engineer with 4 years of total experience in IT
Pursuing Master's in Computer Science with specialization in Big Data Science from Queen Mary University of London
Pursued Post Graduate Program in Data Science and Business Analytics at Great Learning in collaboration with University of Texas at Austin
As a certified data scientist with a strong background in statistical analysis and data visualization, I have hands-on experience in building end-to-end applications leveraging machine learning. My passion for problem-solving and my ability to think critically have helped me excel in data-driven projects, including winning 2 hackathons.
Databases: MySQL, MS SQL Server, MongoDB, Azure SQL Database
Statistical Methods: Hypothesis Testing, AB Testing, ANOVA, Chi-Square Test, Principal Component Analysis
Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest, Clustering, KNN, Artificial Neural Networks, Deep Learning, Time Series Analysis, Market Basket Analysis, Credit Risk Modelling, Natural Language Processing (NLP), Large Language Models, Speech Recognition, Modelling, Recommender Systems