Hey! I am

Sai Geetanjali Tammina

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About Me

Here's a little about me

  • Name:Sai Geetanjali Tammina
  • Email:tamminasai192k4@gmail.com
  • Phone:+91 9391631075
  • Country: India
  • City:Vijayawada

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Education

Lakireddy Balireddy College of Engineering

Bachelor of Technology

Information Technology

Mylavaram - AndhraPradesh

2022-2026

Sri Chaitanya Junior College

Intermediate

Vijayawada- AndhraPradesh

2020-2022

Dr.KKR's Gowtham School

Matriculation

Secondary schooling

Vijayawada- AndhraPradesh

2020

Experience

IOT Intern

Smart Home and Industrial Solutions

June 2024 - July 2024

  • Developed a real-time environmental monitoring system using IoT sensors (gas, soil, light indicators) and Thonny software, enabling real-time alerts. Gained hands-on experience with Raspberry Pi Pico and sensor integration.
  • Built a website using Vercel and Thonny for real-time monitoring, benefiting farmers and greenhouse crop management by tracking gas levels. Utilized Python programming for implementation.
  • Led a team of three, introducing cost-effective solutions, an improved alert system, and optimizing overall performance.

Skills

Achievements

First Prize in Machine Learning & Deep Learning Bootcamp

IT Dept LBRCE

March 2025

Mylavaram - AndhraPradesh

First Prize in Paper Presentation

Lakshya 2k25 LBRCE

Jan 2025

Mylavaram - AndhraPradesh

First Prize in Verbocraft Marvel

Lakshya 2k24 LBRCE

March 2024

Mylavaram - Andhrapradesh

First Prize in Image Tale Odyssey

Spoorthi competition LBRCE

July 2024

Mylavaram - Andhrapradesh

Projects

YelpCamp

NodeJS • Express • MongoDB

A web based application that allows user to view Campgrounds and add their own.
Used Node JS along with Express to make the application. MongoDB for the database.

Semiconductor Yield Prediction using Sensor Analytics

Python • Machine Learning • Random Forest

Engineered a machine learning system to predict semiconductor pass/fail yield from 591 high-dimensional sensor signals. Employed data preprocessing, feature selection, and SMOTE for class imbalance, achieving optimal performance with a Random Forest model.

Employee Salary Prediction App

Python • StreamLit • ML

Predicts employee salaries using machine learning models and user input. Simple interface for quick estimations.

Advanced To Do List

HTML • CSS • JS • CRUD

A feature-rich to-do list app with reminders, tags, and progress tracking for efficient daily task management.

EnviroSense

Raspberry Pico

A hardware-based implementation of real-time environmental monitoring and LED control, with sensor data transmitted and visualized through a web interface using Raspberry Pi Pico and IoT protocols.

Image to Text Extractor

Tesseract OCR | OpenCV | Tkinter

Developed an OCR-based image-to-text extraction tool achieving 80-85% accuracy in text recognition. Processed 500+ images, improving document digitization efficiency by 40 percent.

Software Bug Detection

ML & DL • ANN • ACO

[WORK IN PROGRESS] Detects bugs in software code automatically using deep learning algorithms for improved code quality.

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