Increase sales and customer satisfaction with smarter SMS campaigns, instant OTPs, notifications, surveys & more
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Updated
Dec 1, 2018
Increase sales and customer satisfaction with smarter SMS campaigns, instant OTPs, notifications, surveys & more
Brand Choice, Revenue and Descriptive Statistics by Customer Segments
Projects, Proof of concepts & work from university.
This project showcases a fitness meme website that I built, along with how I used Google Analytics and Google Tag Manager to better optimize it.
My team brainstormed and developed a business idea, wrote a partial business plan, developed a marketing strategy and designed and developed an Access database. This was created in Summer 2022.
Implemented Survival Analysis methods to understand Customer Churn in the telecom industry. Also identified variables that greatly affected customer churn!
React Marketing Tools are a set of tools to make it easier for you to implement analytics and track user journeys, interactions throughout your App. using dataLayer/Google Tag Manager, GA4 fetch directly or coming soon facebook pixel.
The objective is to develop a data-driven marketing strategy for the upcoming year to maximize product sales. This involves analysing existing data to identify patterns and trends, thereby informing a plan that aligns with and anticipates market dynamics to enhance sales performance.
Predicción de presupuesto de campañas en Meta Ads mediante Regresión Lineal
Project built during Meta Marketing Analytics Certificate
Website created for the Digital Experience Course from Miles in The Sky
Digital Marketing Dashboard highlighting Paid Marketing Channels using Tableau.
Sentiment Analysis of Tweets for a renowned shoe brand
Marketing analysis of the Topface company data. Obtaining useful insights for the media buyers. Calculation and visualisation of the marketing indicators
This project, created during a UNSW work placement with Ellipsis, predicts sales lift for merchants using statistical and machine learning models. It includes data preparation, modeling, and visualization in R, leveraging techniques like OLS, Ridge, Lasso, Random Forest, and Neural Networks.
Unofficial Unbounce landing page variant conversion rate calculator that calculates and compares Unbounce variant conversion rates against champion using only the traffic received during the life of the variant.
Recommendation Engine for content based collaborative filtering
Python XGBoost model, using Amazon SageMaker, EC2 instances and S3 buckets. Used to prepare, partition, train, tune, predict and evaluate model. Project involves predicting customers who sign up for a financial product at a bank.
Project-based learning that provides data analysis skillset applicable to drive data-driven decisions to business, namely: data collection and analysis, design of model marketing scenarios , and executive communication of findings with Excel, Tableau, Google Analytics, and Data Studio.
Modules or Tasks under 'Marketing Analysis Virtual Experience Program' through Forage under Wayfair.
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