shinde-chandrakant
Experienced Software and Data Science Engineer with a proven track record in designing, developing, and implementing data and software solutions.
SimpleCRMIndia
Pinned Repositories
BANK-ATM-ETL
Spar Nord, a Danish bank, optimizes ATM refill frequency by observing withdrawal behavior and dependent factors. The project builds a batch ETL pipeline to load the data into Redshift Data Mart for analytical queries.
Banking-app
Simple Banking app with Java only.
BigData-Ops-on-TLC-Yellow-Taxi
Analysed New York City's Yellow taxi data set with Big Data tools such as Hadoop, HBase, Sqoop, MapReduce and AWS Cloud Infrastructure.
BoomBikes-bike-sharing-assignment
Built a linear regression model to predict shared bike demand post-quarantine. Identified key variables affecting revenue and assessed model accuracy in describing bike demand.
BootJpaHibernate
crud operation on db using jpa
Lead-Scoring-Case-Study
X Company needs help selecting the most promising leads. The goal is to build a model that can rank leads based on their likelihood to buy their product or service. This is called lead scoring and it helps prioritize and respond to leads effectively.
online-advertising-platform
Online Advertising Platform - a comprehensive big data project
University-Courses-and-Applicant-Management
Web Application for managing university courses and applicants, allowing users to search for programs, apply online, and manage course offerings. Utilized technologies such as Spring Boot, Swagger API documentation, JUnit tests, Mockito tests, Hibernate, and MySQL
Vaccination
A backend application for managing user vaccination information and vaccination center details. Utilized technologies such as MySQL, RESTful APIs, microservices architecture, load balancers, and Hystrix for improved resilience and fault tolerance.
shinde-chandrakant's Repositories
shinde-chandrakant/BigData-Ops-on-TLC-Yellow-Taxi
Analysed New York City's Yellow taxi data set with Big Data tools such as Hadoop, HBase, Sqoop, MapReduce and AWS Cloud Infrastructure.
shinde-chandrakant/BANK-ATM-ETL
Spar Nord, a Danish bank, optimizes ATM refill frequency by observing withdrawal behavior and dependent factors. The project builds a batch ETL pipeline to load the data into Redshift Data Mart for analytical queries.
shinde-chandrakant/University-Courses-and-Applicant-Management
Web Application for managing university courses and applicants, allowing users to search for programs, apply online, and manage course offerings. Utilized technologies such as Spring Boot, Swagger API documentation, JUnit tests, Mockito tests, Hibernate, and MySQL
shinde-chandrakant/Vaccination
A backend application for managing user vaccination information and vaccination center details. Utilized technologies such as MySQL, RESTful APIs, microservices architecture, load balancers, and Hystrix for improved resilience and fault tolerance.
shinde-chandrakant/Banking-app
Simple Banking app with Java only.
shinde-chandrakant/BoomBikes-bike-sharing-assignment
Built a linear regression model to predict shared bike demand post-quarantine. Identified key variables affecting revenue and assessed model accuracy in describing bike demand.
shinde-chandrakant/BootJpaHibernate
crud operation on db using jpa
shinde-chandrakant/calculator
It is web based Calculator app made using servlet and jsp respectively.
shinde-chandrakant/Lead-Scoring-Case-Study
X Company needs help selecting the most promising leads. The goal is to build a model that can rank leads based on their likelihood to buy their product or service. This is called lead scoring and it helps prioritize and respond to leads effectively.
shinde-chandrakant/online-advertising-platform
Online Advertising Platform - a comprehensive big data project
shinde-chandrakant/car-price-prediction
Car price prediction Linear Regression model
shinde-chandrakant/DataParser
A Spring Boot backend app for saving data to database from csv file using JdbcTemplate
shinde-chandrakant/DS-cheatsheets
shinde-chandrakant/housing-price-prediction
Help Real Estate business optimize property sale prices based on factors such as area, bedrooms, and parking. Identified key variables affecting house prices and assessed model accuracy in predicting prices.
shinde-chandrakant/JdbcTemplate-crud
shinde-chandrakant/job-post-site
Job post site for recruiter
shinde-chandrakant/loan-applicant-risk-analytics
CREDIT EDA ASSIGNMENT
shinde-chandrakant/media-company
Problem Statement: A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
shinde-chandrakant/ML-Roadmap-for-2022
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
shinde-chandrakant/retail-data-analysis
retail-data-analysis using spark-streaming and kafka
shinde-chandrakant/RSVP-MOVIES-case-study-SQL
Conducted data analysis for RSVP Movies, an Indian film production company, to inform their global release strategy. Analyzed data from movies released in the past three years to draw meaningful insights and help the company plan their next project.
shinde-chandrakant/scipy-statistics
basic statistics
shinde-chandrakant/shinde-chandrakant
shinde-chandrakant/shinde-chandrakant.github.io
Welcome to My Portfolio!
shinde-chandrakant/social-media-app
FastAPI based comprehensive backend APP
shinde-chandrakant/StudentSystem
Full stack app for student system.
shinde-chandrakant/telecom-churn-prediction
By studying customer behavior (such as the monthly bill, internet usage etc.) to predict whether a particular customer will switch to another telecom provider or not (i.e. churn or not).
shinde-chandrakant/us-accident-analysis
EDA work on This is a countrywide car accident dataset, which covers 49 states of the USA.