Precision Direct Marketing

Built an end-to-end Ideal Customer Profile framework for a grocery retailer using RFM-engineered features (Recency, Frequency, Monetary value). Applied logistic regression to predict campaign response likelihood and linear regression to estimate spend, then validated segmentation via K-Means cluster

HubSpot Data Enrichment

This function makes an API call to the Apollo.io API to retrieve contact information based on a person's first name, last name, email, and domain. It then extracts the phone number from the API response and returns it through a callback function. This is passed back into the HubSpot.

Accelerate Sales with HubSpot Sales Forecasting

The article titled "Accelerate Sales with HubSpot Sales Forecasting" is a comprehensive guide that dives into the power of HubSpot Sales Forecasting and how it can help businesses drive sales growth and achieve revenue targets. It also touches on revenue intelligence tools such as EBSTA.

Maximizing Revenue: Leveraging CPQ and Contract Management for Sales Efficiency

Maximizing Revenue: Leveraging CPQ and Contract Management for Sales Efficiency is an article dedicated to exploring strategies & insights on how to optimize revenue generation through the effective utilization of Configure, Price, Quote (CPQ) and Contract Management solutions. With a focus on sales

Revenue Report

An easy-to-read revenue dashboard for a group of soft drink retailers This dashboard provides a clear overview of their revenue performance.

Streamlining Data Management with Automation and a Distributed Source of Truth

This highlights the benefits of using automation and a distributed source of truth to streamline data management. I discussed the challenges of data management and how automation and a distributed source of truth can help to overcome these challenges..

Logistic Regression Model

A logistic regression model that predicts the outcome of deals in a CRM

Ecommerce RFM Analysis

The RFM (Recency, Frequency, Monetary) analysis for the e-commerce store, operating in the UK, Ireland, Germany, Netherlands, and France, aims to optimize revenue operations using HubSpot.

Bike Share- case study

This is a capstone project for the Google Analytics professional certificate. Cyclists are a fictional bike-share company with a number of Casual and annual members, the key business goal for this analysis is to help guide the design of marketing strategies that are aimed at converting casual riders

Production Optimization Model

The Optimization Model for Resource Allocation is a dynamic project designed to enhance resource allocation strategies for a fictitious scooter production company. Leveraging data-driven insights, this model aims to optimize the allocation of resources, such as raw materials, labor, and production c

Supply Network Optimization Model

This is a Supply Network Optimization Model developed for a fictional company with warehouses strategically located in Denver, Chicago, Los Angeles, New York City, Austin and Washington. This model is designed to optimize the company's supply network.

Airline Load Factor Forecast

A model to forecast the load factor of the top 100 US domestic airline market. The main objective was to accurately predict the load factor by deseasonalizing the load factor data of US domestic airlines over a ten-year period from 2003 to 2013.

Online retail store sales analysis

Business analysis of data from 2017-2019 of an online retail store affected by the COVID-19 Pandemic. The key business goal for this analysis is to help mitigate the negative effects of the COVID-19 pandemic on sales.

Movie Recommendation System

In this ML project, I have developed an algorithm that focuses on providing a basic movie recommendation system. The primary objective of this system is to suggest movies that are most similar to a particular movie, enabling users to discover new films based on their preferences & interests.

Titanic-Passenger-Analysis

The objective is to prove the hypothesis that low-income passengers suffered the most losses on the ill-fated Titanic during its maiden voyage in 1912.

Stock Price Analysis

In this data project, I have undertaken a comprehensive exploratory data analysis (EDA) of the stock prices for six major financial institutions: Bank of America, Citigroup, Goldman Sachs, JPMorgan Chase, Morgan Stanley, and Wells Fargo. The analysis spans a ten-year period, from 2006 to 2016.

Jobs in Revenue Operations

This project will explore the growth of jobs in Revenue Operations over a 10 year period based on Revenue Operations related job titles on LinkedIn.

LinkedIn Web-scrapper

In this portfolio project, I have developed a web scraper using the powerful RSelenium and Rvest R packages to extract Lite Profile fields from LinkedIn.

JSON to flat dataframe converter

This project is a JSON to dataframe converter specifically designed for Twitter user data. It allows you to easily convert JSON files into dataframes, making it simpler to analyze and manipulate the Twitter user data. The converter also provides the functionality to save the resulting dataframe to y

Top Easy to Use Business Analytics Tools

This article reviews five top "Easy to Use" Business Analytics Tools: Databox, Google Data Studio, Whatagraph, Domo, and Klipfolio. The tools are evaluated based on their support impression, ease of use, functionality, and skill level required.