Data Analysis | Sahil Sangani

Uber Data Analytics

Sat, 01 Jul 2023 00:00:00 +0000

Harnessing the power of Python, Google Cloud Storage, Mage ETL, BigQuery, and Looker, our project delves into Uber cab data analytics. By extracting, transforming, and loading data with Mage, we employ Google’s ecosystem for storage and computation. Our BigQuery-driven data model comprehensively analyzes NYC’s TLC trip records, revealing trends in pick-up/drop-off times, locations, distances, fares, payment types, and more. The Looker Studio dashboard visualizes these insights, providing an interactive exploration of the dataset’s nuances.

Anomaly Detection Time Series Data

Sun, 01 Nov 2020 00:00:00 +0000

Anomalies detection using keras and tensorflaw in S&P 500 dataset.

News Scrapper and Sentiment Analysis

Sun, 01 Mar 2020 00:00:00 +0000

In this project, I have scrapped news from google news using selenium and store the headlines as well as content of the news in a corpus folder. Then, I have done sentiment analysis on it used stopwords for learning purpose.

IPL Winner Prediction

Wed, 01 Jan 2020 00:00:00 +0000

Data Analysis for IPL matches from 2008 - 2019 and predicting winner using SVM classifier.