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Hi, I'm Sunil! πŸ‘‹

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πŸš€ About Me

  • I am a Data Scientist, a seasoned Business Analyst, and a Change Leader.
  • I have expertise in the capital markets domain, specializing in securities trading, post-trade processing, and security operations.
  • I am passionate, constantly experimenting and learning about everything "Data" and related disciplines of Data Analysis, Machine Learning, and Deep Learning
  • I hold a Bachelor of Engineering Degree (BE) in Computer Science, Post Graduate Diploma (PGD) in Data Science, and Master of Science (MS) degree in Data Science

πŸ›  Skills

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πŸ“ˆ Stats

Sunil's GitHub stats

Sunil S. Singh's Projects

bike-share-users-prediction icon bike-share-users-prediction

A multi-layer-perceptron (MLP) or an artificial neural network (NN) from scratch using only NumPy to forecast the number of customers a bike share shop might anticipate on a certain day.

credit-card-fraud-detection icon credit-card-fraud-detection

Build, train and compare performances of multiple binary classification machine learning model techniques to detect credit card fraudulent transactions.

face-mask-detection icon face-mask-detection

A comparative study and evaluation of face-mask detecting image classification models utilizing various deep-learning, shallow-learning, and hybrid methodologies.

guruzee icon guruzee

An app where Math Meets Marvel with AI Wizardry for Primary School Prowess! πŸ§™β™‚πŸ“šβœ¨

human-resource-data-analysis-streamlit icon human-resource-data-analysis-streamlit

A HR dashboard built on Streamlit that analyzes raw data to gain knowledge about how well organizational policies affect staff promotions and layoffs as well as employee behaviors like attrition and job satisfaction.

mnist-digit-generation-gan icon mnist-digit-generation-gan

A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pharmaceutical-sales-analysis-powerbi icon pharmaceutical-sales-analysis-powerbi

A PowerBI dashboard to analyze raw sales data from a multinational pharmaceutical manufacturing company and get insights into the performance of the sales team, customers, and distributors.

pic-to-story icon pic-to-story

A Large Language Model (LLM) Based App to Generate Stories from Pictures

sales-customer-product-analysis-powerbi icon sales-customer-product-analysis-powerbi

A PowerBI dashboard to explore the raw sales data for an online retailer of bicycles and bicycle components in order to obtain insights into its sales performance, customers, and products.

sssingh icon sssingh

Config files for my GitHub profile.

streamlit icon streamlit

Streamlit β€” A faster way to build and share data apps.

svhn-and-celebrity-image-generation-dcgan icon svhn-and-celebrity-image-generation-dcgan

A DC-GAN-based Generative Neural Network trained on the Street View House Numbers (SVHN) and Large Scale CelebFaces Attributes (CelebA) datasets. The network learns to generate fake street-house-number images and celebrity-face images for the respective datasets, giving the impression that they were taken directly from the real datasets.

tv-script-generation-rnn icon tv-script-generation-rnn

An RNN-based Neural Network that uses PyTorch to learn from a specified book or TV/film script and then generate text that appears to have come from the source

tweet-sentiment-classification icon tweet-sentiment-classification

Text classifiers based on NaΓ―ve Bayes and Logistic Regression classification algorithms to process raw tweets and determine whether they carry a positive or negative sentiment.

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