B.Tech Artificial Intelligence & Data Science Student | Aspiring Data Analyst | Python | SQL | Power BI | AI/ML
I am a B.Tech Artificial Intelligence and Data Science student at Prathyusha Engineering College with a strong interest in Data Analytics, Artificial Intelligence, Machine Learning, and Business Intelligence. I enjoy transforming data into meaningful insights and building practical AI-powered applications.
I have hands-on experience with Python, SQL, Power BI, Excel, Machine Learning, Deep Learning, Flask, Streamlit, MongoDB, and modern web technologies. I have worked on diverse projects involving sales analytics, student performance analysis, plant disease detection, waste classification, medical image diagnostics, image captioning, disaster relief, and cloud-based applications.
I am currently developing my skills in advanced data analytics, AI/ML, full-stack AI applications, cloud computing, and software development while preparing for opportunities in data analytics and technology.
B.Tech in Artificial Intelligence and Data Science
Prathyusha Engineering College • CGPA: 9.3Achieved 'O' Grades in all subjects in previous semester
Top academic performanceData/AI Intern at Thiranex & Python Intern at InternPe
Data Cleaning, EDA, Predictive ModelingExplore projects across Data Analytics, AI/ML, Deep Learning, Cloud, and Full-Stack Development.
A data analytics and forecasting project that analyzes sales data and uses Linear Regression to identify trends, analyze patterns, and generate future sales predictions.
An interactive Power BI dashboard designed to analyze student academic performance and present key performance metrics through comprehensive visual dashboards.
An AI-powered plant disease detection system trained using the PlantVillage dataset. Identifies various plant diseases from uploaded leaf images using deep learning.
A computer vision application that classifies waste into different categories using a MobileNet-based deep learning architecture, achieving approximately 87.52% validation accuracy.
A deep learning-based medical image classification project that analyzes chest X-ray images using EfficientNetB0 for diagnostic support.
An AI-powered image captioning system that integrates computer vision and natural language processing using ResNet50 to automatically generate textual descriptions for images.
A web-based platform designed to connect disaster relief volunteers with coordination and relief activities during emergency response situations.
A cloud-based land record management system maintaining transparent and traceable land ownership records featuring user authentication, record management, ownership transfer, blockchain ledger, and MongoDB Atlas integration.
A full-stack web application designed for managing hotel room maintenance workflows and statuses with cloud backend deployment.
A web application managing user registration and automated gas bill reminder functionality through scheduled email notifications via Nodemailer.
Developed multiple desktop and web utilities including:
Core Responsibilities & Skills Applied:
Core Responsibilities & Built Projects:
Get a formatted, printer-friendly PDF summary of my academic background, technical skills in Data Analytics and AI/ML, project portfolio, and internship credentials.
B.Tech Artificial Intelligence & Data Science Student | Aspiring Data Analyst
B.Tech AI & Data Science student with CGPA 9.3 targeting Data Analytics, BI, and AI/ML roles. Proficient in Python, SQL, Power BI, and Deep Learning with end-to-end project execution experience.
B.Tech – Artificial Intelligence and Data Science | Prathyusha Engineering College (CGPA: 9.3)
Academic Honor: Achieved 'O' grades in all subjects in previous semester.
Intermediate (12th): Narayana Junior College, Nellore (980/1000)
SSC (10th): Don Bosco English Medium High School, Kaluvai (573/600)
Analytics: Power BI, Excel, SQL, Data Cleaning, EDA, Visualization, Dashboards
AI/ML: Machine Learning, Deep Learning, TensorFlow, PyTorch, Computer Vision, NLP
Programming & Web: Python, Java, SQL, JavaScript, HTML/CSS, Flask, Streamlit, Node.js, Express.js
Cloud & DB: MongoDB, MongoDB Atlas, Firebase, SQLite, Git, GitHub, Render
Sales Analytics & Forecasting: Linear regression sales forecasting in Python with MongoDB.
Student Performance Dashboard: Interactive Power BI & Excel analytical dashboard.
PlantGuard AI: Leaf disease detection using Deep Learning & Streamlit on PlantVillage dataset.
Smart Waste Classifier: MobileNet computer vision classifier with 87.52% validation accuracy.
Medical Image Diagnostics: EfficientNetB0 chest X-ray classification application.
Thiranex (Data/AI Intern): Data Cleaning, EDA, Visualization, Disease Prediction & Credit Scoring models.
InternPe (Python Intern): Object-oriented applications, game development & algorithmic systems.
Feel free to reach out for Data Analytics, AI/ML opportunities, internships, or project collaborations.
Thiruvallur, Tamil Nadu, India
Prathyusha Engineering College
Dept. of Artificial Intelligence & Data Science