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🧘♂️ Meditator 📊 Data Science Enthusiast
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Assessing your cultural and operational fit
Starbucks_Promotion_Optimization
January 9, 2022 – January 9, 2022
Optimizing targeted marketing strategy using machine learning model
View ProjectStarbucks_Target_Marketing
November 1, 2021 – November 1, 2021
Analysing customer purchasing habits to arrive at discount measures to obtain and retain customers
View ProjectRecommendations_with_IBM
August 30, 2021 – November 3, 2021
Building a recommendation engine to surface content most likely to be relevant to a user
View ProjectDisaster_Response_Pipeline
August 4, 2021 – August 5, 2021
A machine learning solution to help people affected by natural disasters around the world. Developing web app and building machine learning model to classify the disasters messages that will be sent to the relevant aid responders.
View ProjectStack_Overflow_Developer_Survey_Results_Exploration
June 7, 2021 – June 8, 2021
An Analysis of Developers Job Satisfaction
View ProjectBike_Sharing_System_Data_Explanatory_Visualization
November 12, 2020 – November 17, 2020
Investigating Bay Wheels's (Ford GoBike) data to study the bike activity patterns and the effects of trip characteristics on the average trip duration
View ProjectData_Visualization_in_Python
November 11, 2020 – November 17, 2020
This repo consists of most of the visualization techniques in Python using Matplotlib and Seaborn
View ProjectE-commerce_Startup_Traffic_Website_Analysis
November 8, 2020 – January 7, 2022
Exploring a virtual e-commerce startup database using MySQL
View ProjectUdacity_Data_Analyst_Nanodegree
November 6, 2020 – November 17, 2020
Courses and Projects Overview
View ProjectFMCG_Customer_Purchase_Analytics
July 24, 2020 – November 8, 2020
Marketing Analytics and Customer Behavior Modeling
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate initiative and a self-driven learning approach, which can be a positive indicator for cultural fit. The diversity of projects (marketing, recommendations, disaster response) suggests a broad interest in applying data science to different domains. However, without information on team-based projects or professional experience, it's difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration or problem-solving approaches.