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Nilaksh Agarwal
New York City, United States
I have experience with Machine Learning, Computer Vision, Natural Language Processing, Operating Systems, and Computer Graphics across multiple languages and frameworks. I am interested in Machine Learning, AI, Software & Backend Development. I graduated with a Dual Degree (Bachelors in Engineering Physics + Masters in Computer Science) from the Indian Institute of Technology (Delhi). If you would like to know anything more about me, feel free to contact me!
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
161.3
CodersRank Rank
Top 4%
Top 50
Assembly
Developer
United States
Top 50
Protocol Buffer
Developer
United States
Highest experience points: 0 points,
0 activities in the last year
Python
20
exp.
HTML
14.6
exp.
Shell
13.5
exp.
JavaScript
13
exp.
CSS
12.5
exp.
Jupyter Notebook
11.3
exp.
TypeScript
4.6
exp.
Protocol Buffer
4.5
exp.
Assembly
4.5
exp.
MATLAB
4.4
exp.
OpenEdge ABL
3.4
exp.
Perl
2.9
exp.
Batchfile
2.4
exp.
List your work history, including any contracts or internships
WorldQuant Full-time
Aug 2020 - Jun 2021 (10 months)
Data Scientist
Indian Institute of Technology, Delhi
Jul 2019 - Jul 2020 (1 year)
Graduate Teaching Assistant
Teaching Assistant for COL362 (Database Systems) in Spring 2020
Teaching Assistant for COL341 (Machine Learning) in Fall 2019
- Helped author and evaluate homeworks, projects & quizzes
- Conducted help sessions and taught use of various libraries/tools
Teaching Assistant for COL341 (Machine Learning) in Fall 2019
- Helped author and evaluate homeworks, projects & quizzes
- Conducted help sessions and taught use of various libraries/tools
WorldQuant Internship
May 2019 - Jul 2019 (2 months)
Quantitative Researcher
Devised operations for intraday strategies to reduce risk & regulate market impact
Improved value addition to trade signals using technical market indicators
Transformed signals using style factors based expose, minimizing market risk
Implemented the Johansen test for cointegration, used for equity pair trading
Improved value addition to trade signals using technical market indicators
Transformed signals using style factors based expose, minimizing market risk
Implemented the Johansen test for cointegration, used for equity pair trading
Request failed with status code 503