Predictive analytics is conceptual in nature to achieve competitive strategy across industries. The learner's will be benefited in this repository to know about modern data analytic concepts and develop the skills for analysing and synthesizing data sets for decision making in the firms.

The Airline Data Ingestion project automates the ingestion of daily flight transaction data into a Redshift data warehouse using AWS. Data lands in an S3 bucket, triggering ETL operations orchestrated by Step Functions. AWS Glue handles extraction, transformation, and loading, ensuring clean and enriched data for analysis.

End-to-end Data Analytics portfolio featuring 21 business case studies: RFM segmentation, A/B testing, cohort & funnel analysis, exploratory data analysis (EDA), and operational KPI frameworks using Python.

This is Final Capstone Project for ALY6140 80956 Analytics Systems Technology SEC 04 Spring 2021 CPS. Primarily made to learn Data Analytics, Machine Learning, and AI using Python. To cluster Customer churn, understand why the customer is churning (leaving), which customer is churning, how can we predict it and stop it from happening.

"Bank churn analytics using SQL, Python and Google Looker Studio dashboard"

A Data analytics/viz study on the Barcelona airbnb listings

End-to-end UAE retail & logistics analytics — SQL, Python, Streamlit

Collection of data analytics tasks completed during my Elevvo internship, including Python, SQL, and visualization projects for hands-on learning.

End-to-end A/B testing case study analyzing a redesigned credit card onboarding flow using Python, SQL, statistical inference, funnel analysis, logistic regression, and business impact modeling.

Machine Learning-Based SMS Spam Detection System using NLP, TF-IDF Vectorization, Logistic Regression, Scikit-Learn, and Streamlit for Real-Time Text Classification.

End-to-end product analytics project — SQL, Python, Power BI, Excel

Data Wrangling through Python (Basic). 🚀

The goal of this project is to explore the reasons behind employee attrition.