Machine Learning Computer Science

CAREER OBJECTIVE

EDUCATION EXPERIENCE

SKILLS

CERTIFICATIONS

&

WORKSHOPS

**** **** ***** **, **********, Alabama

***************@*****.***

SRINADH SADINENI +1-513-***-****

Results-driven Computer Science graduate with foundational hands-on experience in web development, machine learning, and cybersecurity, coupled with a strong eagerness to learn and grow through real-world application. Proven ability to apply theoretical concepts to projects, building scalable solutions and optimizing performance. Seeking a Software Development / ML / Cybersecurity role to leverage my technical expertise and contribute to cutting-edge solutions."

Project

Conducted a comparative study on heart disease prediction using machine learning algorithms.

Analyzed and compared Linear Regression, Support Vector Regression, Perceptron, and Lasso Regression to determine the most effective model.

Aimed to identify the best-performing algorithm for predicting heart disease occurrence.

Focused on evaluating accuracy, efficiency, and predictive performance of different ML techniques.

College-Mini-project

Developed a dynamic web application, Find My Doc, to enhance doctor-patient interactions.

Integrated GPS services, real-time transport tracking, and an intelligent appointment management system

Enabled users to book, reschedule, cancel, and track appointments seamlessly.

Utilized HTML, CSS, SQL, and DBMS to build a responsive and efficient platform.

Masters in Computer science Expected graduation, May 2024-2025 3.42

Bachelors in Computer Science August

2018-2022 3.15

Programing Languages : C, Java, Python

Web Technologies : HTML, CSS

Data-Base : DBMS, SQL

IDE : Visual studio code

Introduction to HTML5 – Coursera

Programming for Everybody(Getting

started with Python) - Coursera

Python Data Structures – Coursera

App Development through app inventor

by APSSDC

Internet of Things, by APSSDC

Python 10 day workshop by MICT

University of Alabama at Birmingham

DVR & Dr. HS MIC college of Technology

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