Skip to content
View nipun-goyal's full-sized avatar
🎯
Focusing
🎯
Focusing
4 followers · 3 following

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Block or report nipun-goyal

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nipun-goyal/README.md

Hi there 👋

Profile View Count

I'm Nipun Goyal, Data Scientist at Canada Energy Regulator (CER). I've studied Data Science and Machine Learning from University of British Columbia, based in Vancouver, Canada. My areas of interest include Machine Learning, Natural Language Processing and Neural Networks. Outside of work, I take keen interest in Cycling, Skiing, Cryptos, NFTs, Formula 1, Snooker, House Music and Stock Markets & Finance.

Nipun's GitHub stats

Top Langs

Pinned Loading

  1. CER-REC/esa-data-bank_banque-donnees-ees CER-REC/esa-data-bank_banque-donnees-ees Public

    BERDI's environmental and socio-economic assessment (ESA) data extraction method | Notre méthode d'extraction des données pour les évaluations environnementales et socioéconomiques (« EES ») de CIBER

    Python 6 1

  2. MapDetect MapDetect Public

    Classifying PDF Pages as Maps or Not - This repository contains a machine learning-based classification model designed to detect whether a page in the Environmental and Socio-Economic Assessment (E…

    Jupyter Notebook

  3. BERT-Text-Classification BERT-Text-Classification Public

    Fine-tuning BERT model for text classification with TensorFlow and TensorFlow Hub

    Jupyter Notebook

  4. Residential-Energy-Consumption-Prediction Residential-Energy-Consumption-Prediction Public

    Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

    Jupyter Notebook 6

  5. ivanduka/human-robot ivanduka/human-robot Public

    Jupyter Notebook 2

  6. SparrowSpotter SparrowSpotter Public

    A data-driven project to extract Baird's Sparrow locations and visualize them on an interactive map using Leaflet.js and OpenStreetMap. Features include geospatial data processing, dynamic mapping,…

    HTML