I am a Computer Science and Statistics double-major at UC Berkeley. I am interested in machine learning theory and its applications in data science. I also like teaching and I think a lot about ways to convey knowledge to wider audiences. Feel free to reach out to me at sagnick@berkeley.edu – I would love to hear from you!
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Software EngineerImc TradingChicago, Il, Us -
Software EngineerImc Trading Aug 2022 - PresentChicago, Illinois, United States -
Machine Learning Theory ResearchUniversity Of California, Berkeley Aug 2019 - May 2022Berkeley, CaliforniaCurrently working on the theory behind deep linear neural networks. Previously conducted research on adversarial attacks and defenses on PointNets, neural networks that classify point clouds. I was working with Marc Khoury, now I am working with Professor Jonathan R. Shewchuk. -
Graduate Student Instructor For Eecs 70 (Discrete Math And Probability Theory)Uc Berkeley Electrical Engineering & Computer Sciences (Eecs) Aug 2021 - Dec 2021Berkeley, California, United States -
Software Engineer InternThe Voleon Group May 2021 - Aug 2021Berkeley, California, United StatesCreating ETL pipelines using Apache Airflow.Implementing time series merges in a database interface. -
Undergraduate Student Instructor For Cs 189 (Intro To Machine Learning)Uc Berkeley Electrical Engineering & Computer Sciences (Eecs) Jan 2021 - May 2021Berkeley, California, United StatesHolding weekly office hours, teaching a section of 30-40 students, creating homeworks and exams, grading exams.This is the undergraduate and graduate-level introduction to machine learning course at Cal.
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Undergraduate Student Instructor For Eecs 70 (Discrete Math And Probability Theory)Uc Berkeley Electrical Engineering & Computer Sciences (Eecs) Aug 2020 - Dec 2020Berkeley, California, United StatesHolding weekly office hours, teaching a section of 30-40 students, creating homeworks and exams, grading exams, in a course with 700+ students.
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Head Undergraduate Student Instructor For Eecs 70 (Discrete Math And Probability Theory)Uc Berkeley Electrical Engineering & Computer Sciences (Eecs) Jun 2020 - Aug 2020Berkeley, California, United StatesLeading TAs, Readers, and Academic Interns, managing a student body of 600+ students, teaching.
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Undergraduate Student Instructor For Cs 189 (Intro To Machine Learning)Uc Berkeley Electrical Engineering & Computer Sciences (Eecs) Jan 2020 - May 2020Berkeley, California, United StatesHolding weekly office hours, teaching a section of 30-40 students, creating homeworks and exams, grading exams.This is the undergraduate and graduate-level introduction to machine learning course at Cal.
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Associate Mentor For Cs 70 (Discrete Math And Probability Theory)Computer Science Mentors Aug 2020 - May 2021Berkeley, California, United StatesTeaching a 1.5 hour section of 4 students each week, where we cover topics from CS 70 (Discrete Math and Probability Theory). -
Senior Mentor For Cs 70 (Discrete Math And Probability Theory)Computer Science Mentors Jan 2020 - May 2020Berkeley, California, United StatesLeading a group of 4 Junior Mentors and creating course content in addition to teaching a section of 5 students.
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Junior Mentor For Cs 70 (Discrete Math And Probability Theory)Computer Science Mentors Aug 2019 - Dec 2019Berkeley, CaliforniaTeaching a 1.5 hour section of 4 students each week, where we cover topics from CS 70 (Discrete Math and Probability Theory).
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Data ScientistDosenet May 2018 - Aug 2019Berkeley, CaliforniaAnalyzing data from radiation and weather sensors using Python and pandas, jupyter notebook and numpy.Visualizing the data using matplotlib and seaborn.
Sagnik Bhattacharya Skills
Sagnik Bhattacharya Education Details
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Computer Science
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Computer Science And Statistics
Frequently Asked Questions about Sagnik Bhattacharya
What company does Sagnik Bhattacharya work for?
Sagnik Bhattacharya works for Imc Trading
What is Sagnik Bhattacharya's role at the current company?
Sagnik Bhattacharya's current role is Software Engineer.
What schools did Sagnik Bhattacharya attend?
Sagnik Bhattacharya attended University Of California, Berkeley, University Of California, Berkeley.
What skills is Sagnik Bhattacharya known for?
Sagnik Bhattacharya has skills like Leadership, Python, Java, Tensorflow, Data Analysis, Machine Learning, Sql.
Who are Sagnik Bhattacharya's colleagues?
Sagnik Bhattacharya's colleagues are Kwabena Aduse-Poku, Chris Lee, Sandeep Kumar, Michael Larsen, Irfan Alam, Linda Brown Miller, John Qian.
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Sagnik Bhattacharya
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Sagnik Bhattacharya
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