Esha Goel
Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolEsha Goel is a versatile MERN-stack developer and data science enthusiast with six years of experience bridging engineering, research, and product-focused analytics. She holds a B.Tech in Electronics and Communication with a management minor and has built end-to-end ML pipelines—most notably for used-car price prediction—alongside frontend integrations showcased on GitHub. Her background includes research roles, a Bain strategy internship where she used generative AI to halve repetitive work, and leadership in open-source programs mentoring thousands of contributors. Based in Delhi, she combines design sensibility with rigorous coding (self-described "Design + Code" maker), mentors emerging developers, and consistently turns data insights into practical automation and product outcomes.
6 years of coding experience
1 year of employment as a software developer
Class 12, 95.8, Class 12, 95.8 at Seth Anandram Jaipuria SchoolBachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.44, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 9.44 at Shiv Nadar University
English, Hindi, French
Github Skills (17)
python10
scikit10
pandas10
machine-learning10
eda10
regression10
data-cleaning10
scikit-learn10
evaluation9
eval9
jupyter-notebook9
deep-learning4
django3
nlp3
flask3
Programming languages (5)
Github contributions (5)
ashishsahu1/ML-ProjectYard
Mar 2021 - May 2021
This repo consists of multiple machine learning based projects with frontend
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 20 PRs, 20 comments in 2 months
Contributions summary:Esha's primary contribution involves predicting the cost of used cars. Their work includes data cleaning, exploratory data analysis (EDA), handling categorical variables, data scaling, and model training and evaluation using various machine learning regression algorithms like Linear Regression, Decision Tree Regression, and Random Forest Regression. They are also focused on calculating and analyzing error metrics to evaluate model performance. The user has developed a complete machine learning pipeline for the prediction task.
nlppythondeep-learningdjangoflask
goelesha/matrix-react-sdk
Mar 2022 - May 2022
Matrix SDK for React Javascript
Contributions:38 pushes, 12 branches in 1 month
reactjavascriptsdkmatrix-sdkmatrix
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