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Veerendra Elugubanti

@veerendraelugubanti

I'm an aspiring software engineer building machine learning and Salesforce applications.

India
Message

What I'm looking for

I'm looking to apply my technical skills to real-world projects, learn from experienced experts, contribute to innovative solutions, and grow in a collaborative environment.

I've built a machine learning gender-detection model using voice features, applying Logistic Regression, KNN, and SVM to real-world data.

I collected and cleaned data, selected features, evaluated models with accuracy scores and confusion matrices, and visualized results using Python, Scikit-learn, Pandas, NumPy, Matplotlib, and Jupyter Notebook.

I also built a cloud-based placement management system on Salesforce to streamline college placements. I created custom objects for students, companies, and job applications, then automated processes with validation rules and workflows.

I'm an Electronics and Communication Engineering undergraduate with Frontend Developer and Python Basics certifications, eager to apply my technical foundation to real-world projects and innovative solutions.

Experience

Work history, roles, and key accomplishments

AT

Machine Learning Intern

Aditya College of Engineering And Technology

Feb 2022 - Mar 2022 (1 month)

Built a machine learning model for gender detection using voice features, applying algorithms like Logistic Regression, KNN, and SVM. Evaluated performance with accuracy score and confusion matrix.

Education

Degrees, certifications, and relevant coursework

AT

Aditya College of Engineering and Technology

Bachelor of Technology, Electronics and Communication Engineering

2021 - 2025

Grade: 6.7 CPI

Pursued a degree in Electronics and Communication Engineering, achieving a CPI of 6.7.

PC

Pragati Vidhyalaya Junior College

Intermediate, MPC

2019 - 2021

Grade: 6.5

Completed Intermediate education with a focus on MPC, achieving a score of 6.5.

SS

S.P.S.R ZPP High School

Matriculation, General

2018 - 2019

Grade: 8.5

Completed Matriculation with a score of 8.5.

Tech stack

Software and tools used professionally

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