• Trained CNNs to solve problems like MobileNet V2 1.4x object classification(using tensorflow/keras) and SSD object detection(using C/C++). • Developed th web interface for our Inventory management model • Collected and preprocessed image data for training models.

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• Worked on US Cab Industry business data and used exploratory data analysis and applied ML algorithms to make a business judgment on which firm to invest in. • Used the Flask framework to deploy the models created using the pickle library on Heroku • YAML and JSON were used to build a data ingestion pipeline to handle big datasets (3GB+). Compared the performance among Dask, Pyspark, CSV Dict Reader, Datatable fread, and pandas. Skills used Python libraries (tensorflow/casuallib/scikit-learn/logging/pandas/matplotlib/plotly/seaborn/numpy); Flask, Docker, Streamlit, Agile(jira/scrum/kanban/bitbucket), Postman(API), EDA, data engineering data munging, data visualization, model deployment, A/B testing, Problem solving, Feature Engineering, Stakeholder Communication, Big data, Cloud

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Research topics: Statistical Machine Learning, Sequential Decision Making, Multi-armed bandit algorithms, On-line learning, Causal inference. • Participated actively in a research project extracting data, analyzing and interpreting data. • Reviewed and summarized related research papers. Sequential Decision Making, Multi Armed Bandit Algorithm (MAB), Game theory, On-line Prediction, Boosting • Assisted in the integration of on-line learning and optimization techniques to develop algorithms that effectively learn the reward model while maximizing rewards Skills used Python libraries: tensorflow/casuallib/scikit-learn/logging/pandas/matplotlib/seaborn/numpy;

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• Took initiative to promote UNIST. Visited high schools and delivered presentations about the admissions process and how to apply. Prepared reports and responded to student inquiries • Analyzed trends in student recruiting and retention. Skills used Teamwork, Communication, Public Speaking, Leadership, Powerpoint, Excel

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