MAHESH CHEEPURUPALLI
Junior Python Developer • Tanuku, Andhra Pradesh • c********************@gmail.com • 888****420 • drivetube.ai/•••••
Professional Summary
Junior Python Developer with 0 years of experience in Python, web development, and machine learning. Built customer-segmentation models with Scikit-learn, created interactive Streamlit dashboards, and developed responsive portfolio sites with HTML/CSS/JavaScript. Seeking an entry-level Python Developer role to contribute to data-driven applications and grow technical expertise.
Technical Skills
Programming Languages: Python,JavaScript
Frameworks and Libraries: Bootstrap,Scikit-learn,Pandas,NumPy,Matplotlib
Databases: SQL,MySQL,SQL querying & data extraction
Cloud and DevOps: AWS
Data and Analytics: K-Means Clustering,Hierarchical Clustering,Random Forest,RFMT feature engineering
Tools and Methodologies: Streamlit,Git,Jupyter Notebook
Web Development: HTML5,CSS3,Responsive Design
Fundamentals & Concepts: Data Structures,Version Control,Model evaluation & cross-validation,Feature engineering
Work Experience
AICTE (Virtual Internship)
AI & Machine Learning Intern
Virtual internship through AICTE focused on applied machine learning: supervised/unsupervised methods, feature engineering, and model visualization.
Tech Stack: Python, Scikit-learn, Pandas, NumPy, Streamlit, MySQL, Git, Jupyter Notebook
- Developed a customer segmentation pipeline using RFMT feature engineering and Scikit-learn to prepare transactional data for clustering and classification, producing interpretable segments for marketing insight.
- Implemented and compared K-Means and Hierarchical Clustering to identify stable customer cohorts; documented cluster profiles and selection rationale to guide targeting decisions.
- Trained Random Forest models to predict engagement and churn risk; evaluated models using cross-validation and classification metrics to inform next-step strategies.
- Built an interactive Streamlit dashboard to visualize RFMT segments, cluster centers, and model predictions, enabling non-technical stakeholders to explore segment insights.
- Extracted and cleaned datasets from SQL/MySQL, and used Pandas and NumPy for feature engineering, scaling, and preprocessing to improve model reliability.
- Managed experiment code and notebooks with Git, produced reproducible analyses and documentation to support future iterations and handoffs.
AICTE (Virtual Internship)
Android Development Intern
Virtual internship through AICTE covering Android fundamentals, UI design, and mobile app prototyping with emphasis on responsive interfaces.
Tech Stack: Git, UI prototyping, Responsive layout design, Android app concepts
- Studied Android app architecture and UI components; designed responsive layouts and prototype screens to ensure consistent UX across device sizes.
- Translated wireframes into functioning interface prototypes and implemented navigation flows and basic user interactions to demonstrate core app functionality.
- Applied concepts of local data persistence and API-driven data flows to plan how UI components would connect to backend services in full-stack scenarios.
- Performed iterative debugging and testing cycles on prototypes, logging issues and applying fixes to improve stability and user interaction responsiveness.
- Documented development steps, technical decisions, and user-flow diagrams to communicate design intent and implementation plans to peers.
- Used Git for source control to track changes, manage branches, and practice collaborative development workflows.
Projects
Customer Feedback Analysis Using Machine Learning & RFMT | 2025 – 2025
Tools Used: Python, Scikit-learn, K-Means Clustering, Hierarchical Clustering, Random Forest, Streamlit, Pandas, NumPy
- Built a customer segmentation model using RFMT (Recency, Frequency, Monetary, Tenure) features to analyze customer behavior patterns.
- Implemented K-Means and Hierarchical Clustering to group customers and compared clustering stability to choose optimal segments.
- Trained Random Forest models to predict future engagement and churn risk to support targeted retention strategies.
- Developed an interactive Streamlit dashboard to visualize customer segments and provide actionable insights for marketing optimization.
Personal Portfolio Website | 2025 – 2025
Tools Used: HTML5, CSS3, JavaScript, Responsive Design, Bootstrap
- Designed and developed a responsive portfolio site to showcase projects, skills, and professional background.
- Implemented a mobile-first approach ensuring consistent UX across desktop, tablet, and mobile devices.
Education
Swarnandhra collage of engineering and technology
Bachelor of Technology (B.Tech) in Information Technology • Expected 2025
Vishnu institute of engineering and technology
Diploma in Electronics and Communication Engineering • 2021
Z.P. High School
High School (SSC) • 2018
Certifications
AI & Machine Learning (Virtual Internship) — AICTE
Android Development (Virtual Internship) — AICTE
AWS DevOps Cloud Bootcamp
Python Programming — Infosys Springboard
Data Science and Machine Learning
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