Nikil Sunku
Data Engineer II @ Aircapture
About
I enjoy exploring the data science and data engineering lifecycles and seeing how I can contribute to them in the climate-tech, personal health, and food/beverage space :)!
United States
San Francisco Bay Area
Higher Education
grading, Hypothesis Testing, Teaching, Grading, Analytical Skills, Operations Management, Python, pandas, tableau, Scikit-Learn, Tableau, R (Programming Language), Artificial Intelligence (AI), Data Analytics, Programming, Data Analysis, Data Engineering, Interpersonal Skills, Statistics, Machine Learning
Experience
Data Engineer II
Aircapture
Data Engineer
Aircapture
Berkeley, California, United States
Data Science Intern
InsideTracker
Boston, Massachusetts, United States
Data Science Intern
Teaching Assistant (uGSI)
UC Berkeley College of Computing, Data Science, and Society
Berkeley, California, United States
Undergraduate Teaching Assistant for Data 8 (Foundations of Data Science) Lecture for 30+ students and host office hours weekly to give students support in Foundations of Data Science
Tutor
UC Berkeley College of Computing, Data Science, and Society
Berkeley, California, United States
Foundations of Data Science (Data 8)
Reader
UC Berkeley College of Computing, Data Science, and Society
Berkeley, California, United States
Foundations of Data Science (Data 8)
Tutor
UC Berkeley College of Computing, Data Science, and Society
Berkeley, California, United States
Data Scholars Foundations (Data 198)
Research Assistant
University of California, Berkeley
Berkeley, California, United States
NLP on Twitter Data to Determine Political Affiliation
Executive Vice President
DataGood at Berkeley
Berkeley, California, United States
Developer
DataGood at Berkeley
Berkeley, California, United States
Courier
Instacart
Food Delivery Driver
DoorDash
Education
Georgia Institute of Technology
Computer Science
University of California, Berkeley
Data Science
Relevant Coursework: Data Structures and Algorithms (CS 61b) Structure and Interpretation of Computer programs (CS 61a) The Foundations of Data Science (Data 8) Principles and Techniques of Data Science (Data 100) Probability for Data Science (Data 140) Data Mining and Analytics (Data 144) Data, Inference, and Decisions (Data 102) Linear Algebra and Differential Equations (Math 54) Introduction to Probability and Statistics (Stat 20)
Universitat Pompeu Fabra
Sustainable Food Systems
Nikil Sunku's Contact Information
Phone
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