I am a Data Science graduate with an excellent academic background. I have completed a mathematics curriculum which helped me to develop a profound understanding of the methods behind machine learning models. My passion for mathematics shows the ability to dive deeper into the problems as well as the capacity of solving complex technical questions efficiently. I am excited to use my diverse skills ranging from probabilistic modeling to natural language processing with transformers to reinforcement learning to develop intelligent algorithms for social good.
Participated in a research project aimed community detection in hypergraphs.
Implemented Frank Wolfe variants to solve maximum clique optimization problem on uniform hypergraphs.
Implemented advancec neural network architures to detect COVID-19 and pneumonia from X-Ray images. Studied the explainability of the Implemented neural networks and discovered that the network was learning the bias in the dataset.
Implemented probabilistic click models fron scratch for predicting the relevance oof web search.
Implemented a web app that filters news by keywords.
Successfully completed the degree with honors.
Top 5% students based on the GPA were selected to participate in the program.
Won a Uzbek nationwide competition and received a scholarship to participate in the program.
Became an awardee of an international Mathematics Olympiad (2nd grade) among high-school students.