Mariya Babu - Data Analyst

About Me

Hello! I'm Mariya Babu, a Data Analyst who enjoys turning raw, messy datasets into insights people can actually act on. I work mainly with SQL, Python, and Power BI — building dashboards, cleaning data, and running exploratory analysis. I've also built applied machine learning projects end-to-end, from customer segmentation to predictive modeling, and I'm actively growing toward a Junior Data Scientist role. I enjoy the parts of the job most people skip: digging into why the data looks the way it does before jumping to conclusions.


Skills

Experience

Education

Certification

SQL & Databases

Complex queries, CTEs, and window functions for business reporting

Power BI & DAX

Interactive dashboards for stakeholder-ready reporting

Python for Data Analysis

pandas, NumPy, and data cleaning for exploratory analysis

Applied Machine Learning

scikit-learn, CatBoost, and XGBoost for classification & regression

Data Cleaning & ETL

Preparing raw, messy datasets for reliable analysis

Exploratory Data Analysis

Trend, pattern, and anomaly detection in structured data

Jan 2025 - April 2025

Machine Learning Intern

Shamgar Software Solution

Supporting data analysis and applied ML tasks, including data cleaning, exploratory analysis, and model building for internal projects.

Nov 1, 2024 - Dec 1, 2024

Data Science Intern

Cognifyz Technologies

Performed data analysis and built predictive models to generate business insights from real-world datasets.

Aug 10, 2024 - Sep 10, 2024

Data Science Intern

Bharat Intern

Built machine learning models and created data visualization dashboards for internship projects.

B.Tech

KKR & KSR Institute of Technology & Sciences, Vinjampadu

2022 - 2026

CGPA: 7.21

Intermediate

Palnadu Junior College, Macharla

2020 - 2022

Score: 59%

Secondary Education

Z.P Boys High School, Macharla

2018 - 2020

Score: 85%

Data Analysis with Python

IBM on Coursera

December 2, 2024

Python Pandas NumPy

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI on Coursera

October 30, 2024

Unsupervised Learning Recommenders Reinforcement Learning

My Services

Data Analysis & Reporting

Analyzing structured data to identify trends, patterns, and anomalies. Performing exploratory data analysis (EDA) and delivering clear, actionable insights for business decisions.

Learn more →

Dashboard & BI Development

Building interactive Power BI dashboards with DAX measures, so stakeholders can explore business data without waiting on a new report every time.

Learn more →

SQL & Database Querying

Writing complex SQL — CTEs, window functions, aggregations — to pull, join, and summarize data cleanly for reporting and analysis.

Learn more →

Applied Machine Learning

Building classification and regression models with scikit-learn, CatBoost, and XGBoost for practical business problems like segmentation and prediction.

Learn more →

My Work

Customer Segmentation Dashboard

Customer Segmentation Using RFM Analysis

Segmented 5,878 customers from 824K+ transactions using SQL (CTEs/window functions) and K-Means clustering. Found 65% of customers/revenue sitting in the "At Risk" segment and only 4 true "Champions" — built a Power BI/DAX dashboard to surface it, containerized with Docker and deployed on Render.

Student Performance Prediction

Student Performance Indicator

Built a CatBoost regression model (R² = 0.88) to predict student performance from academic and demographic features. Served it via Flask and deployed to AWS Elastic Beanstalk with CodePipeline CI/CD.

Customer Churn Prediction

Customer Churn Prediction

Developed a predictive model for customer churn using Python and scikit-learn — exploring feature engineering and model comparison to flag customers likely to leave.

View All Projects

Contact Me

mariyababuit@mail.com

+91 7993642366

Download CV