Laxmaan Balaji
Palo Alto, United States
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United States
Top 50
United States
Highest experience points: 0 points,

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List your work history, including any contracts or internships
Penn State University
1 year 10 months
State College
Graduate Teaching Assistant
Jan 2021 - Oct 2021 (9 months)
TA for Numerical Analysis II. Numerical Analysis II presents a broad overview of numerical methods for solving major problems in scientific computing, including linear least squares, eigenvalues, optimization, boundary value problems for ordinary differential equations, partial differential equations, sparse linear systems, Fast Fourier Transform, and random numbers and simulation.
Teaching Assistant
Aug 2020 - Dec 2020 (4 months)
Worked on Information Extraction and Data Analysis. Research entailed identification of the impact of COVID-19 on Forex trading and analysis of top traders’ trading history for viable trends.
python3 scikit learn pandas
Learning Assistant - Pattern Recognition and Machine Learning.
Jan 2020 - Jul 2020 (6 months)
It is a graduate-level course introducing Machine Learning concepts, with programming exercises and projects in MATLAB.

Responsibilities include aiding in dissemination of course material, grading projects and homework, and holding office hours
Machine learning Matlab
Learning Assistant
Sep 2019 - Dec 2019 (3 months)
Learning Assistant for CMPSC 458 - Fundamentals of Computer Graphics.
Responsible for the dissemination of course material, grading projects and assignments and holding office hours to clarify doubts the students enrolled in the course have.
c++ opengl
Clipboard Health Internship
Jul 2020 - Aug 2020 (1 month)
Software Engineer Intern
Developed and debugged React web app components in an Agile environment.
Additionally, designed an ML model for automated verification of healthcare professionals’ shift timings in Python with 96% accuracy. Achieved potential savings of up to 500 man-hours per month in verification.
Python ReactJS tensorflow
Intellect Design Arena Ltd
May 2018 - Jul 2018 (2 months)
Research Intern
Generated tailored responses to customer complaint emails by classifying the complaint’s domain using Word2Vec and CNNs implemented on Python. Achieved a test classification accuracy 0f 87.6%
Python machine learning tensorflow

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