sayaliwalke30

Beyond-LeetCode-SQL

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

BigDataAnalysis-RecommenderForAmazon

Built a recommender system using Apache Mahout machine learning library carried out data analysis using Hadoop, Apache Hive & Pig on Amazon Customer Reviews Data set(130M+ reviews))

Customer-Segmentation

Created customer segmentation for an e-commerce website to reach out to millions customers with effective marketing strategy

Data-Science--Cheat-Sheet

Cheat Sheets

Hadoop-Mapreduce

Data analysis on Big Data. Used various databases from 1M to 100M including Movie Lens dataset to perform analysis. Covers basics and advance map reduce using Hadoop.

JudgeBookByCover

Predicted the genre of the book from its cover using convolution neural networks.

Kaggle-Projects

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

MongoDB-Mapreduce

Data analysis on Big Data. Used various databases from 1M to 100M including Movie Lens dataset to perform analysis. Covers basics and advance map reduce using MongoDB.

OnlineFoodOrderDatabase

ERD Creation, SQL database implementation, Encryption, Computed columns, SQL functions, PowerBI reports

Stocks-Analysis-and-Prediction

Web scrapped the stocks fundamentals for 502 stocks and carried out data analysis using SQL and POWER BI. Built a very useful visualization for Value Investing. Selected 5 stocks and predicted their price.

sayaliwalke30/Kaggle-Projects

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

sayaliwalke30/Stocks-Analysis-and-Prediction

Web scrapped the stocks fundamentals for 502 stocks and carried out data analysis using SQL and POWER BI. Built a very useful visualization for Value Investing. Selected 5 stocks and predicted their price.

sayaliwalke30/MongoDB-Mapreduce

Data analysis on Big Data. Used various databases from 1M to 100M including Movie Lens dataset to perform analysis. Covers basics and advance map reduce using MongoDB.

sayaliwalke30/BigDataAnalysis-RecommenderForAmazon

Built a recommender system using Apache Mahout machine learning library carried out data analysis using Hadoop, Apache Hive & Pig on Amazon Customer Reviews Data set(130M+ reviews))

sayaliwalke30/Customer-Segmentation

Created customer segmentation for an e-commerce website to reach out to millions customers with effective marketing strategy

sayaliwalke30/Data-Science--Cheat-Sheet

Cheat Sheets

sayaliwalke30/Hadoop-Mapreduce

Data analysis on Big Data. Used various databases from 1M to 100M including Movie Lens dataset to perform analysis. Covers basics and advance map reduce using Hadoop.

sayaliwalke30/OnlineFoodOrderDatabase

ERD Creation, SQL database implementation, Encryption, Computed columns, SQL functions, PowerBI reports

sayaliwalke30/Beyond-LeetCode-SQL

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

sayaliwalke30/Data-Analysis

Data Science Using Python

sayaliwalke30/Data-Analysis-Projects

Data Analysis and visualization using Python, SQL, Tableau, Power BI

sayaliwalke30/JudgeBookByCover

Predicted the genre of the book from its cover using convolution neural networks.

sayaliwalke30/Data-Analysis-SQL

Analysed AdventureWorks2012 dataset using SQL

sayaliwalke30/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

sayaliwalke30/NetworkStructureAndCloudComputing

sayaliwalke30/OCR7SD

Optical Character Recognition of Seven Segment Display

sayaliwalke30/sayaliwalke30.github.io

Portfolio Of Sayali Walke