MAGANTI PRANEETH SRI SATYA CHOWDARY

B.Tech CSE (Data Science Engineering with AI) student · Aspiring Data Engineer / ML Developer

Guntur, Andhra Pradesh, India

@maganti_praneeth_sri_satya_c

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B.Tech Computer Science and Engineering (Honors Through Research), Specialization: Data Science Engineering with AI at KL University · Graduating 2028

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About

B.Tech Computer Science and Engineering (Honors Through Research) student at KL University specializing in Data Science Engineering with AI. Experience includes AI/data analytics internships, machine learning projects, and full-stack/data engineering work using Python, FastAPI, PostgreSQL, Power BI, and AWS.

Experience

AI Data Analytics Intern

InAmigos Foundation

Sep 2026 – Sep 2026

Completed an AI Data Analytics Internship, gaining practical experience in AI-driven data analytics and social-impact analysis.
Machine Learning & Data Science Virtual Intern

EduSkills Academy

Jun 2026 – Aug 2026

Completed an 8-week virtual internship in machine learning and data science and received Grade O (Outstanding).

Education

2028

B.Tech

KL University

Computer Science and Engineering (Honors Through Research), Specialization: Data Science Engineering with AI · 2028

Computer Science and Engineering (Honors Through Research), Specialization: Data Science Engineering with AI

Skills

3 to 6 months

Machine Learning

<3 months

C SQL ETL CSS3 Java HTML5 Python Pandas Celery FastAPI Next.js Hibernate Reacts Js Algorithms JavaScript RESTful APIs Data Quality Advanced DBMS Data Structures Data validation Containerization Dynamic Programming Role-based access control (RBAC) Objectoriented Programming (Oop)

Tools / apps / platforms

<3 months

Git MySQL Redis Docker GitHub VS Code PostgreSQL Eclipse IDE Apache Maven Apache Airflow GitHub Copilot Microsoft Excel Jupyter Notebook Microsoft Power BI Amazon Web Services AWS

Languages

Native / Bilingual

Telugu Speak

Conversational

Hindi Speak

Basic

English Speak Japanese Speak

Projects

AI-Driven 3D Digital Twin Framework for Damage Detection and Predictive Recovery in Green Hydrogen Pipelines

Artificial Intelligence, 3D Digital Twins, Predictive Analytics

Authored a research paper proposing an AI-driven 3D Digital Twin framework for damage detection and predictive recovery in green hydrogen pipelines.
Sales Data Analytics Dashboard ↗

Power BI, SQL, DAX, Data Analytics

Developed an enterprise Power BI dashboard for real-time sales monitoring, consolidating 10,000+ records. Integrated SQL datasets, custom DAX formulas, automated weekly reporting workflows, and baseline business forecasting trends.
Machine Learning-Based Disease Prediction Using Healthcare Datasets ↗

Python, Scikit-learn, NumPy, Pandas, XGBoost, Seaborn

Developed a machine learning disease prediction system for automated risk prediction. Performed data preprocessing, feature selection, and hyperparameter tuning; compared Logistic Regression, Random Forest, and XGBoost.
DataForge — AI Data Engineering & Analytics Platform ↗

Python, FastAPI, PostgreSQL, Pandas, Redis, Celery, Airflow, Next.js, Docker

Engineered an end-to-end data engineering and analytics platform for automated dataset ingestion, validation, transformation, data-quality analysis, and analytics. Implemented RBAC, dataset management, asynchronous Celery pipelines, Redis-backed task processing, automated quality scoring, and analytics REST APIs in a containerized architecture.

🏆 Achievements & awards

JEE Advanced Top 1.47% Rank

Secured a rank among the top 1.47% of JEE Advanced candidates.

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