The Data Analyst

10/10/2025

10/10/2025

09/10/2025

Learning data analysis with Python doesn’t have to be boring 😎 I share short, practical TikToks on real-world workflows, EDA & visualization. Check it out 👇
https://www.tiktok.com/?_t=ZS-90PGU3bGRa0&_r=1

68 Followers, 218 Following, 49 Likes - Watch awesome short videos created by Rjay The Analyst

04/07/2025

Driving Customer-Centric Insights in Fintech with

I recently built an interactive Customer Segmentation & Dashboard tailored to the fintech industry using Streamlit, Plotly, and .

The helps business teams:

* Identify and understand high-value customer segments
* transaction behaviors across channels and demographics
* Uncover growth opportunities through behavioral insights
* Flag potential risks through anomaly detection

In , where customer experience, retention, and risk management are crucial, data-driven segmentation is key to driving business strategy and growth.

I’m sharing this to demonstrate how I help businesses transform data into action while contributing to the data community through knowledge sharing.

Here’s the dashboard: https://customersegmentation-ddtbrggn9mfzd6p4heevks.streamlit.app/

I look forward to opportunities to apply this kind of impact at and to connect with other data-driven professionals.

23/05/2025

Ever wondered what data says about p***s size across the globe?
📊 + 🧠 = surprising truths

As a data analyst, I took on a unique and sensitive topic — international variations in male ge***al measurements — and approached it with scientific curiosity and statistical rigor. Using confidence intervals, correlation analysis, and clear visual storytelling, I explored:

🌍 Global and regional averages in length and girth
📏 Differences between flaccid and erect states
🔎 Insights into anatomical trends by continent

This project combines real-world data with analytical depth, and highlights how data can break taboos and foster informed, respectful conversations.
It also demonstrates practical use of Python, pandas, seaborn, and statistical inference using scipy.stats.

Explore the full analysis here:
https://github.com/Rejoice312/p***s_size_analysis](https://github.com/Rejoice312/p***s_size_analysis

Curious what science says vs. assumptions? Let the data speak.

19/05/2025

🚀 New Project Alert: A/B Testing for Webpage Conversion Optimization
I'm excited to share my latest project where I conducted an A/B test to evaluate the impact of a new landing page design on user conversion rates.
🔍 Project Overview:
I analyzed user interactions with two versions of a webpage:
Old Page: The original design (Control group)
New Page: The redesigned version with updated features (Treatment group)
The goal was to determine if the new design led to a statistically significant increase in conversions.
🛠️ Methodology:
Data Cleaning: Ensured data integrity by verifying data types, removing duplicate users, and aligning user groups with the correct landing pages.
Statistical Testing: Formulated null and alternative hypotheses and conducted appropriate statistical tests to assess the difference in conversion rates between the two groups.
📊 Results:
The analysis provided insights into user behavior and the effectiveness of the new design, guiding data-driven decisions for webpage optimization.
📁 Project Repository:
You can explore the full analysis and code here: https://github.com/Rejoice312/ab_testing_analysis
I'm open to feedback and discussions on A/B testing methodologies and findings. Let's connect and share insights!

18/05/2025

🚀 Just wrapped up an exciting project in machine learning!
I built an SMS Spam Detection model using Bayes’ Theorem to classify messages as spam or ham (non-spam).

📊 With an accuracy of 98.44%, the model demonstrates how probabilistic reasoning can be effectively applied to real-world problems like spam filtering.

🔍 Techniques used:
- Bayes Probability
- Text preprocessing
- Perfomance evaluation

🔗 Check out the project here:
👉 https://github.com/Rejoice312/sms_spam_detection

Always happy to connect with others passionate about Data Analytics and Data Science!

18/05/2025

💼 Exploring the Data Behind Data Analyst Jobs

Are you a recruiter, a data analyst, or someone exploring a career in data?
I recently completed a project that analyzes Data Analyst job listings to uncover:

📌 Top in-demand skills
💰 Salary expectations across regions
🔍 Job search strategies and market insights

This project combines data cleaning, EDA, and visualization — offering insights for both job seekers and hiring professionals.

🔗 Check it out on GitHub:
👉 https://github.com/Rejoice312/da_jobs_analysis

Would love to hear your thoughts or collaborate on similar projects!