NILESH CHOGALE

Data Science & Business Analysis aspirant, familiar with compiling, transforming and analyzing complex information through Python. Expert in machine learning, predictive Modeling, Data Visualization and large dataset management. Having 8 years of experience in domains like construction, anticorrosive coatings and digital marketing. Excellent track record for resolving problems and improving customer satisfaction.

E-portfolio:
https://eportfolio.mygreatlearning.com/nilesh-ramesh-chogale
PGPDSBA certificates and Transcript:

https://olympus1.mygreatlearning.com/certificate/UHRBYDNN

https://olympus1.mygreatlearning.com/transcript/EIUSVOWY

https://vrfy.digital/YQcfx

Capstone Project:
Project: Understand the warehouses condition in predicting the exact quantity of instant noodles to be shipped. 

The project report comprises of understanding the given data in terms of factors affecting the supply of instant noodles to the warehouses in entire country. It includes building and comparing various suitable regression and ensemble models with perform-ance metrics and selecting the best optimized model to give business insights and recommendations. Skills and Tools Python, TABLEAU, Ensemble, Linear Regression, Ex-ploratory Data Analysis

Course Projects:

Project1:Recommending ways to increase revenue of a Grocery Store.

The project involves conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a grocery store can increase its revenue by coming up with attractive combo & discount offers for customers. 

Skills and Tools: Market Basket Analysis, EDA, KNIME, Python
Project 2: Understanding Customers' Buying Patterns for an Automobile Parts Manufacturer.

This project aims to find the underlying buying pat-terns of the customers of an automobile part manufacturer based on the past 3 years of the Company's transaction data and hence recommend customized marketing strategies for customer segments. 

Skills and Tools: RFM, Exploratory Data Analysis, Python, KNIME
Project 3: Visualizing Insurance Claims using Tableau.

This project explored the art of problem-solving with the aid of visual analytics. Tableau’s data visualization tools were used to create interactive dashboards to provide high-level insights to the CEO of an Insurance company to drive the company's policymaking 

Skills and Tools: Business Intelligence, Tableau, Dashboard Designing
Project 4: Gems & Holiday Package Prediction.

In first case of this project it is expected to predict price of gems based on multiple variables to help 

company maximize profits using the concept of linear regression. In the second case, one has to predict if the customer will purchase the holiday package using the concept of logistic regression and linear discrimi-nant analysis. Skills and Tools: Linear Regression, Logistic Regression, LDA