Teaching Assistant
CurrentTA for CMPUT 404 at the University of Alberta.
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Kiran D. is listed as MSc Student @ uAlberta Computing Science at Faculty of Science, University of Alberta, based in Canada, Canada, Canada. AeroLeads shows a matched LinkedIn profile for Kiran D..
Kiran D. previously worked as Teaching Assistant at Faculty Of Science, University Of Alberta and Google Summer of Code Student at University Of California, Santa Cruz. Kiran D. holds Bachelor Of Science - Bs With Honors, Computer Science from University Of Alberta.
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I am in my first year of the MSc program in Computing Science at the University of Alberta! Along with completing my coursework, I am currently a teaching assistant for CMPUT 404.I am interested in questions related to representation learning/embeddings and interpretability of ML models. In particular, I’ve been focused on using visualization methods to better understand those subjects. If you’re interested in collaborating on a project, please feel free to email or direct message me!
Listed skills include Python, Tutoring, Data Science, Higher Education, and 1 others.
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TA for CMPUT 404 at the University of Alberta.
Santa Cruz, California, United States
- Contributing to Polyglot, a web application for 3D visualization of language embeddings with the novel MCPM metric. - Used JavaScript and the three.js library to implement a fuzzy text search feature, annotation ability, runtime improvements, and a novel timeline visualization. Used Python to preprocess language data, compute word embeddings using the.
Toronto, Ontario, Canada
- Developed a web app (Javascript, HTML/CSS) which allows users to identify important variables along 1-dimensional, hand-drawn trajectories on 2-dimensional embeddings of data. See web app at https://yunwilliamyu.github.io/SlowMoMan/ and source code at https://github.com/yunwilliamyu/SlowMoMan- Produced academic manuscript using Latex. Accepted to.
Edmonton, Alberta, Canada
- Research assistant for Dr. Ryan Hayward in the field of reinforcement learning for games such as Hex. - Surveyed Nash equilibria and proofs for the win rate bounds of Dark Hex (Kriegspiel Hex). Used Colab and CoCalc to iterate through win rates of thousands of 3x4 boards.- Studied Monte Carlo tree search with heuristics for Dark Hex, virtual connections.
Remote
- In a team of 4, cleaned 3 years of data and identified new KPI's regarding customer churn, reactivation, customer demographics, and forecasting. Used NumPy, Pandas, Matplotlib, Sklearn, FB Prophet.- Developed supervised and unsupervised models to predict key performance indicators. Models used: CatBoost, k-Nearest Neighbours, Support Vector Machines..
Edmonton, Alberta, Canada
- Identified 7 genes whose expression levels could be used to improve the accuracy of prognosis assessments in patients with neuroblastoma. Predictive ability of the genes had a p-value of less than 0.0001.- Collected and cleaned open source data and conducted hypothesis testing (ROC curves, Kaplan Meier tests) through MS Excel, IBM SPSS, and Graphpad..
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Kiran D. works for Faculty of Science, University of Alberta.
Kiran D. is listed as MSc Student @ uAlberta Computing Science at Faculty of Science, University of Alberta.
Kiran D. is based in Canada, Canada, Canada while working with Faculty of Science, University of Alberta.
Kiran D. has worked for Faculty Of Science, University Of Alberta, University Of California, Santa Cruz, University Of Toronto, Natural Sciences And Engineering Research Council Of Canada (Nserc), and Shoppingfeeder.
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Kiran D. holds Bachelor Of Science - Bs With Honors, Computer Science from University Of Alberta.
Kiran D. is listed with skills including Python, Tutoring, Data Science, Higher Education, and Sql.
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