AI/ML Engineer: Python, CV, NLP, Tableau

KATURI TULASI

Chirala, Andhra Pradesh

701-***-**** Linkedn:www.linkedin.com/in/tulasi-katuri-686b28312 ***************@*****.*** EDUCATION

St. Ann’s College Of Engineering & Technology, Bapatla District B.Tech

CSE-AIML

Sri Gowthami junior college Higher

Secondary

Priyadarshini high school

Secondary

CARRER OBJECTIVE

Graduated in 2026

CGPA: 9.03

2022

Percentage: 94.7

2020

percentage: 100

Motivated and detail-oriented AI&ML graduate seeking an IT role where I can apply my technical skills in programming, problem-solving, and software development while contributing to organizational growth and continuously enhancing my knowledge. TECHNICAL SKILLS

•Language: python

•AI/ML Domains: Machine Learning, Deep Learning, NLP, Computer Vision, AI Tools

•Libraries/Frameworks: TensorFlow, Keras, Scikit-learn, NumPy, Pandas

.Data Visualization: Power BI, Tableau

CERTIFICATIONS

•Data Science using Python Workshop – Brainovision + St. Ann’s College (2024)

•The joy Of Computing Using Python - NPTEL

•AI Learnathon Program – GUVI (SAWIT.AI)

• PHP and MYSQL - Spoken Tutorial, IIT(Bombay)

•Quantum Fundamentals - Qubitech&wiser

INTERNSHIPS & PROJECTS

•AI Intern – AIMERS Organization, Vijayawada Duration: May 2024 - July 2024

•Data Analytics with Tableau Intern - SmartBridge Duration: May 2025 -July 2025

•AI Chatbot Intern – Omega HealthCare Duration: Jan 2026 – April 2026

• Done a project on Visualizing data using Power BI

Worked on creating interactive dashboards and reports in Power BI to transform raw datasets into meaningful insights.

• Done a Project on Visualizing Housing Market Trends using Tableau

Designed a Tableau project focused on analyzing housing market trends, including property prices, location-based variations, and features influencing sales.

Used advanced Tableau features like calculated fields, parameters, and filters to uncover key patterns and make data-driven predictions for buyers, sellers, and investors.

• Digit Recognition (CNN, MNIST)

Implemented a deep learning model using Convolutional Neural Networks (CNN) to classify handwritten digits from the MNIST dataset.

Trained and optimized the model to achieve high accuracy, gaining strong understanding of neural network layers such as convolution, pooling, and fully connected layers.

• Developed AI-Powered Chatbots in different domains like Agriculture, Medical

Built intelligent chatbots tailored for specific domains.

In agriculture, the chatbot provided crop suggestions, weather updates, and farming techniques. In medical, it offered basic symptom checking and healthcare guidance.

• Built real-time object detection with YOLOv8

Developed a computer vision system using YOLOv8 (You Only Look Once) for real-time object detection. The model was trained on custom datasets to identify objects with high speed and accuracy, demonstrating skills in dataset preparation, model training, and deployment for realworld applications.

• AI Powered BGV Task Automation

I developed high-precision Python scripts using BeautifulSoup and Regex to make unstructured data into organized information, while integrating Microsoft Graph API and Azure Key Vault for secure enterprise communication& OCR for reading the headers in attachments.

This project replaced manual portal entries with an automated backend system, significantly optimizing the recruiter-to-vendor workflow through end-to-end technical integration.

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