Venkata Naga Teja Neelisetty

B.Tech CSE (AI/ML) & B.S. Data Science student · Aspiring Machine Learning Engineer

Ongole, Andhra Pradesh, India

@venkata_naga_teja_neelisetty

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About

B.Tech CSE (AI/ML) and B.S. Data Science student with hands-on experience in machine learning, predictive modeling, data preprocessing, feature engineering, and model evaluation. Has worked on industrial ML and remote sensing projects using Python, scikit-learn, and geospatial tools.

Experience

Remote Sensing & GIS Intern

India Space Academy

May 2026 – Jul 2026
Machine Learning Intern

InternVision Technology Pvt. Ltd.

Dec 2025 – Feb 2026

Education

B.Tech

Vellore Institute of Technology, Chennai

Computer Science Engineering (AI/ML) · May 2029
B.S.

IIT Madras

Data Science and Applications · May 2025 – May 2029

Skills

<3 months

C SQL RAG Java NumPy Flask Scipy Python Pandas FastAPI Seaborn LangChain JavaScript Matplotlib TypeScript scikit-learn Random Forest Decision Trees LLM evaluation Machine Learning Model Evaluation Gradient Boosting Prompt Engineering Hypothesis Testing Feature Engineering Sentence Transformers API Integration Understanding Logistic Regression ( in progress )

Tools / apps / platforms

<3 months

Git GitHub SQLite ChromaDB Firebase Jupyter Notebook Google Earth Engine

Languages

Not stated

Hindi Speak Telugu Speak English Speak

Projects

Urban Heat Island Analysis — Chennai (Remote Sensing & GIS) ↗

JavaScript, Google Earth Engine, Landsat 8 Imagery

Derived NDVI, NDBI, and Land Surface Temperature from Landsat 8 imagery to analyze the Urban Heat Island effect across Chennai. Processed multi-band geospatial data to relate land-cover change to urban surface-temperature patterns.
AI-Assisted Crop Pattern Mapping (Remote Sensing & GIS) ↗

JavaScript, Google Earth Engine, Sentinel-2 Satellite Imagery, Random Forest Classification

Developed an AI-assisted crop classification pipeline using multi-season Sentinel-2 imagery and Random Forest in Google Earth Engine. Applied NDVI-based multi-season features and generated geospatial classification outputs for agricultural monitoring and analysis.
Loan Approval Prediction — Hypothesis Testing & Statistical ML Analysis ↗

Python, Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn

Built an end-to-end loan-approval classification pipeline combining inferential statistics with supervised ML on a 614-record applicant dataset. Preprocessed financial data, applied feature selection, validated relationships using T-Test and Chi-Square tests, and trained Logistic Regression and Decision Tree classifiers.
Vexadoc — Enterprise RAG Document Intelligence Platform ↗

Python, FastAPI, LangChain, Sentence Transformers, ChromaDB, Next.js, React

Built the core RAG pipeline with PDF parsing, metadata extraction, and intelligent text chunking. Implemented a FastAPI backend with a modular retrieval layer over a persistent ChromaDB vector store, and is developing the Next.js/React frontend and LLM response-generation layer.

Courses & certifications

Industrial Training – Machine Learning · InternVision Technology Pvt. Ltd., DPIIT Recognised · 2026
Remote Sensing & GIS Internship · India Space Academy, in collaboration with VIT Chennai · 2026
Foundational Level in Programming & Data Science · IIT Madras, Centre for Outreach and Digital Education · 2026
AWS Academy Graduate — Cloud Foundations · Amazon Web Services (AWS) Training and Certification

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