Neeraj Arora

Accurate Senior Analyst with exceptional teamwork, leadership and communication skills. Over a decade of experience working on large-scale projects as well handling daily operational requests. Exceptional technical understanding to meet project deadlines. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.

• Domain: Capstone Project on E-Commerce Company | Programming Language used: Python.
• Objective - Calculate Churn Rate of Customers.
• Skills Used - Python, EDA, Data manipulation, Data cleaning, Model building, Model Tunning, Model Score Analysis, Churn prediction.
• Outcome - Turned data into actionable insights, providing insightful recommendations to business operations and improve customer service.
• Generated statistical and visualization providing key tactics to improve business performance on customer retention and increase in revenue.

• Domain: Online Retail Store | Programming Language used: MySQL
• Objective - Order Management functionality.
• Skills Used - Joins, Sub queries, Aggregate functions, MySQL.
• Outcome - To make data-driven decisions that will impact the overall growth of the online retail store.

• Domain: Insurance Company | Tool used: Tableau
• Objective - Provide high-level insights to the CEO of an Insurance company to drive the company's policy making.
• Skills Used - Business Intelligence, Dashboard Designing, Tableau.

• Domain: Gem price prediction and Holiday Packages | Programming Language used: Python
• Objective - Predictive Modelling to predict the Gem price and sale of holiday packages.
• Skills Used - Predictive Modelling, Regression, EDA, Model Building.

• Domain: Bank Customer Segmentation and Insurance Claim Prediction
• Objective – To Provide insights using Clustering method of Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest are used to draw inferences. Various performance metrics have been used to validate the performance of predictions on Test & Train sets.
• Skills Used – Clustering, Decision Trees, Random Forest, EDA, Confusion Matrix.