Pulin Chhangawala
Piazza Instructor for Data Structures Course @ Rutgers University–New Brunswick
United States
Edison
Computer Software
Generative Adversarial Networks (GANs), Deep Learning, Bioinformatics, Deep Neural Networks (DNN), Deep Convolutional Generative Adversarial Networks (DCGAN), Microsoft Visual Studio Code, Statistical Data Analysis, Pandas (Software), tidyverse, ggplot, User Interaction, Human Health and Ecological Risk Assessment, Model Development, JavaScript, Data Visualization, Climate, Trend Analysis, Data Systems, Hashgraph, Learning
Experience

Piazza Instructor for Data Structures Course
Facilitated an online discussion board for Data Structures queries with 1,200 students. Helped solve hundreds of inquiries every month on Data System, OS and IDE issues. Created strategies to help students resolve bugs in a team, reducing response wait times by 25%

Data Analyst
DAFRE
New Brunswick, New Jersey, United States
Used libraries like Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn and more in Python to conduct Correlative, Time Series, Regressive and GeoSpatial analysis of Lyme disease with trends in temperature over 20 years. Performed data-driven research in R to identify and locate trends in flooding, water contamination and climate change using libraries like readr, dplyr, ggplot2, lubridate and other tidyverse based libraries. Prepare to publish information found as a well-documented heuristic to a dashboard using JavaScript, HTML/CSS
Education

Artificial Intelligence
Completed CS50's Introduction to Artificial Intelligence with Python, where I delved into core AI concepts, including supervised and unsupervised learning, artificial neural networks, and natural language processing techniques. Engaged in projects that involved developing algorithms using frameworks like TensorFlow and NLTK.
Pulin Chhangawala's Contact Information
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