Pooja (pooja97)

pooja97

User data from Github https://github.com/pooja97

Company:IFF

Location:NewYork

Home Page:https://pooja97.github.io/

GitHub:@pooja97

Pooja 's repositories

ethio_hydro

Worked with Ethiopia's rain and temperature time series data. Processed and analyzed 67 million Data and created a dashboard to monitor it.

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Body_posture_recognition

Processed video data using OpenCV, extracted body keypoints using Mediapipe and performed k-means clustering analysis.

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uber_data_analytics

Data modeling and ETL pipeline for data analytics on Uber dataset using Google cloud storage, BigQuery, and Looker Studio

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Airbnb

Worked with New York city Airbnb historical data. Performed Linear Regression and XGBoost to predict the New York city Airbnb rent with an RMSE value of 63.4.

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kafka-airflow-mongodb

Implemented data pipeline for validating email and sending OTP using kafka, mongodb, webhooks and airflow

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titanic

Titanic Disaster kaggle challenge. Performed Exploratory data analysis and applied Logistic regression for predicting the survival of the Titanic passengers.

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US-Covid-19

Created a dashboard using streamlit, plotly, and plotly-express for analyzing Covid-19 data of the United States.

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Virltor

AI based real estate service for rating 1.2 million housing community of San Diego

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Word_Processor

Flyweight pattern for word processor in python3. Implemented a Flyweight factory that given a unicode code point returns the Flyweight character object for the character and font. Created RunArray for tracking character sequence in the word document.

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in-memory-db

Command and Memento Pattern

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modern-fullstack-development

Modern full stack development assignments associated with SDSU

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Modern_web_development

Modern web development assignments associated with SDSU

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product_app

A website for placing an order and taking all its sales data for predictive analysis using Machine Learning Algorithms such as Linear regression and support vector regressor.

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pyspark

recommender system using pySpark

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text_similarity

Text Similarity using cosine similarity and bag of words

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twitter_classification_project

Applied KNN to predict whether a tweet will be viral or not based on different features. Applied Naive Bayes classifier to classify the tweets based on different locations.

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