About

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Hi, I'm Jeshwanth Reddy, an aspiring Machine Learning Engineer with a passion for developing innovative solutions using data science and machine learning techniques.

I hold a B.Tech in Computer Science and Engineering with a specialization in Data Science from Malla Reddy Engineering College. My education has provided me with a strong foundation in computer science and a deep understanding of data analytics and machine learning.

During my internship at Skiltimate Technology, I developed a Retina Blood Vessel Segmentation model using CNN, which significantly improved early detection of retinal diseases. My experience also includes working on various machine learning projects, such as optimizing waste management systems and detecting harmful insects using computer vision techniques.

I am proficient in Python, PyTorch, and AWS, and have experience with data analysis, cloud platforms, and machine learning frameworks. My problem-solving skills and ability to work collaboratively in teams have been crucial in delivering successful projects.

Outside of work, I am passionate about exploring new technologies and trends in machine learning. I enjoy reading tech blogs, participating in hackathons, and contributing to open-source projects.

I am excited to continue growing as a Machine Learning Engineer and contribute to innovative projects that make a positive impact. My goal is to leverage my skills and experience to drive advancements in AI and data science.

Feel free to connect with me on LinkedIn or reach out via email if you have any opportunities or just want to chat about technology and machine learning.

Projects

Project 1
Location-Based Garbage Management System for Smart City

Skills Utilized: Python, Machine learning Developed and implemented predictive models to optimize waste collection routes and schedules, reducing operational costs by 20%. Utilized Python and machine learning algorithms to create an efficient waste management system.

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Project 2
Retina Blood Vessel Segmentation model using CNN

Skills Utilized: Python, Machine learning. Developed and implemented a Convolutional Neural Network (CNN) model for accurate segmentation of retinal blood vessels, improving diagnostic efficiency and assisting in the early detection of eye diseases. Utilized advanced image processing techniques and deep learning frameworks to achieve high segmentation accuracy, reducing manual workload and enhancing ophthalmic diagnostic workflows.

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Project 3
Detection of Harmful Insects using YOLOv8

Skills Utilized: Python, Machine learning,Software Testing Designed and developed a pest detection system using the YOLOv8 object detection framework to support sustainable farming practices. Improved the accuracy of pest detection by fine-tuning the YOLOv8 model and optimizing parameters.

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Project 4
Movie search application

Skills Utilized: HTML,CSS,Javascript,OMDb api. The Movie Search App is a web application that allows users to search for movies by name and view detailed information about them. It uses the OMDB API to fetch real-time movie data

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Skills

Python
Python Expertise for Data Science and Machine Learning

Leveraged Python to develop advanced machine learning models and perform comprehensive data analysis, driving impactful insights and solutions.

Data Visualization
Data Visualization

Utilized advanced data visualization techniques to transform complex data into actionable insights, enhancing decision-making processes.

SQL
SQL Proficiency for Efficient Data Management

Expertly utilized SQL to design, query, and manage relational databases, ensuring efficient data retrieval and robust data integrity.

Data Storytelling
Machine Learning for Predictive Analytics

Developed and deployed machine learning models to uncover patterns and predict outcomes, driving data-driven decision-making and innovation

Contact Me

jeshwanthreddymereddy@gmail.com

+91 6303142612

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