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ScratchPCA
May 30, 2024 – May 30, 2024
This project implements Principal Component Analysis (PCA) from scratch using Python. PCA is a technique used to emphasize variation and bring out strong patterns in a dataset. It is often used to make data easy to explore and visualize.
View ProjectEmail-Classification-Naive-bayes-With-Flask-Deployement
January 11, 2022 – January 11, 2022
Used Naive Bayes to solve email classification problem
View ProjectGradient-Descent
September 19, 2021 – September 19, 2021
Finding the local minima of the function y=(x+5)2 starting from the point x=3
View ProjectText-Classification-Using-Bert
August 24, 2021 – September 5, 2021
Here , I solved text classification problem with the help of BERT
View Projectunderstanding-huggingface-pipeline
August 19, 2021 – August 19, 2021
Here I have just put out some of the pipelines which huggingface provides
View ProjectAgobot-software-complete
June 4, 2021 – June 18, 2021
software with 18 indicator and 18 patterns with feature of automatic algo trading and backtesting
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an individual drive for learning and exploration in data science. The diversity of projects (face recognition, algo trading, text classification, deployment) suggests a broad interest within the field. However, without team-based projects or professional experience, it's difficult to assess collaboration or cultural alignment with a team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.