sheetalbongale
Data Scientist | Applied Machine Learning | AI for Good | Electrical & Computer Engineering Graduate
Data Scientist Austin, TX
Pinned Repositories
ALE-gorithm
All things Beer! Beer Educator and Recommender Web App | Deployed on GCP > https://alegorithm-fxljyqhslq-uc.a.run.app/ | UT Data Analysis and Visualization Nov 2019 - May 2020.
ALE-gorithm-II
Ale-gorithm 2 is a full stack beer recommender app using Collaborative Filtering Machine Learning Models. ALE-gorithm-2 will recommend your next beer in two ways using a custom recommender model built with Surprise-scikit KNN Model | Deployed on GCP > https://alegorithm2-fxljyqhslq-uc.a.run.app
Big-Data-Using-PySpark
Demonstrate ETL processes in Big Data using PySpark and using AWS's Relational Databases to analyze and perform statistical analysis of Amazon's Vine program customer reviews.
Blackjack-Python
A simple command-line Blackjack game implemented using Python and Object Oriented Programming concepts
D3-Data-Journalism
Interactive data visualization using D3.js to show some state-level data about three risk factors (obesity, smoking and lack of healthcare) plotted against three perhaps underlying factors (income, poverty rate and age) based on 2014 U.S. Census data. Find it here: https://sheetalbongale.github.io/D3-Data-Journalism/
Diabetes-Detection-Using-Deep-Learning
A simple neural network using Keras and Python to solve a binary classification problem to detect an onset of diabetes.
Face-Recognition-Deep-Learning
Developed a face recognition system that can detect faces in images, identify the faces, and even modify faces with "digital makeup" like you've experienced in popular mobile apps.
Recommender-Systems-Machine-Learning
Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.
Scooters-In-Austin-Data-Analysis
Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020
Web-Scraping-MongoDB
Web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page using BeautifulSoup, Requests, Selenium and MongoDB with Flask. | UT Data Analysis and Visualization Nov 2019 - May 2020.
sheetalbongale's Repositories
sheetalbongale/ALE-gorithm
All things Beer! Beer Educator and Recommender Web App | Deployed on GCP > https://alegorithm-fxljyqhslq-uc.a.run.app/ | UT Data Analysis and Visualization Nov 2019 - May 2020.
sheetalbongale/Scooters-In-Austin-Data-Analysis
Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020
sheetalbongale/ALE-gorithm-II
Ale-gorithm 2 is a full stack beer recommender app using Collaborative Filtering Machine Learning Models. ALE-gorithm-2 will recommend your next beer in two ways using a custom recommender model built with Surprise-scikit KNN Model | Deployed on GCP > https://alegorithm2-fxljyqhslq-uc.a.run.app
sheetalbongale/Diabetes-Detection-Using-Deep-Learning
A simple neural network using Keras and Python to solve a binary classification problem to detect an onset of diabetes.
sheetalbongale/Blackjack-Python
A simple command-line Blackjack game implemented using Python and Object Oriented Programming concepts
sheetalbongale/Big-Data-Using-PySpark
Demonstrate ETL processes in Big Data using PySpark and using AWS's Relational Databases to analyze and perform statistical analysis of Amazon's Vine program customer reviews.
sheetalbongale/Recommender-Systems-Machine-Learning
Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.
sheetalbongale/Retail-Time-Series-Analysis-and-Forecasting
Time series demand and forecasting predictions for future sales and inventory. Exploring various models - ARIMA, SARIMA, Prophet and LSTM
sheetalbongale/austin-sharedmobility-webapp
Demonstrate serving a Flask Web App for City of Austin's Open Data about Shared Mobility Complaints and Shared Mobility & Dockless rides. Deployed using Heroku: https://atx-sharedmobility.herokuapp.com/
sheetalbongale/Iris-Data-Predictive-Modeling
Build and test multiple sci-kit learn machine learning models to predict species from flower measurements.
sheetalbongale/Pandas_Exercises
Practice your pandas skills!
sheetalbongale/sheetalbongale.github.io
Find my portfolio here: https://sheetalbongale.github.io
sheetalbongale/Austin-Scooter-Rides-2019-Vs-2020
Project analyzing how COVID-19 lockdown affected the City of Austin's scooter rides and scooter complains.
sheetalbongale/Binary_Classification_Using_Tensorflow
Analyze, preprocess, design, optimize and train a binary classification model using neural networks with TensorFlow.
sheetalbongale/Building-Data-Pipelines
Building data pipelines to improve the multistage workflow of a ML/DL project to production. SkLearn | Keras | MLFlow | Airflow
sheetalbongale/Car-Feedback-Flask-Webapp
Lexus feedback survey web-application using Python, Flask, Postgres and deployed on Heroku that sends the survey data to a Postgres database and emails admin.
sheetalbongale/Clustering-Crypto
Unsupervised learning project using Amazon SageMaker demonstrating data dimension reduction with PCA and clustering the cryptocurrencies using K-Means Clustering
sheetalbongale/COVID19-NLP-Model
Exploring COVID-19 Open Research Dataset (CORD-19) to apply natural language processing(NLP) to generate new insights in support of the fight against this infectious disease.
sheetalbongale/Currency-Risk-Time-Series-Analysis
Exploring historical Dollar-Yen exchange rate futures data and apply time series analysis and forecasting modeling including linear regression, ARMA, ARIMA and GARCH to determine whether there is any predictable behavior.
sheetalbongale/Deep-Learning-Computer-Vision
Train and deploy a brick/ball/cylinder classifier using deep learning computer vision models.
sheetalbongale/Environmental_Anomaly_Detection
Build, train, optimize, and deploy a machine learning model to a virtual edge device that accurately detects environmental anomalies.
sheetalbongale/gitignore
A collection of useful .gitignore templates
sheetalbongale/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
sheetalbongale/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
sheetalbongale/Plotly-Dashboard
Built a full-stack interactive dashboard to explore the Belly Button Biodiversity DataSet using Plotly, Javascript, D3.js, Flask and SQLAlchemy. Deployed app on Heroku: https://belly-button-dashboard-sheetal.herokuapp.com | UT Data Analysis and Visualization Nov 2019 - May 2020
sheetalbongale/Sentiment-Analysis-NLP
Exploring Natural Language Processing using various sci-kit learn models and NLTK library to create a IMDb movie review sentiment classifier.
sheetalbongale/sheetalbongale
sheetalbongale/Spatial-AI-OpenCV
Demo Applications for Spatial AI Webinar
sheetalbongale/SQL-Challenge
Execute MySQL queries on Sakila database(samples a DVD Rental Store) utilizing MySQLWorkbench | UT Data Analysis and Visualization Nov 2019 - May 2020
sheetalbongale/Yield-Analysis-In-Semiconductor
Machine learning techniques to develop a data-driven model for yield analysis and yield predictions in semiconductor manufacturing process