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Anjali JonnadaAJ
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Anjali Jonnada

@anjalijonnada

I build Python machine-learning projects for text classification and drug side-effect prediction.

Zimbabwe
Message

What I'm looking for

I'm seeking an entry-level technology opportunity where I can apply academic knowledge, analytical thinking, and problem-solving skills, contribute to organizational goals, and continuously develop professionally in a dynamic work environment.

I've built a Python NLP spam email classifier using TF-IDF and Naive Bayes, handling text preprocessing, data cleaning, and feature extraction.

I'm also developing Deepside, a CNN-based deep learning framework that predicts drug side effects from a SMILES dataset with 1,042 classes. I built a Flask web application for real-time prediction and molecular-structure visualization.

During the 1M1B Green Internship, I worked on sustainability-focused data analytics projects with real-world datasets. I applied data cleaning, visualization, and analytics techniques while collaborating with a cross-functional virtual team supported by Salesforce.

I'm pursuing a Bachelor of Technology in Information Technology and continue building my skills through Python coding, Generative AI, NLP, and technical workshops.

Experience

Work history, roles, and key accomplishments

MB

Green Intern

1M1B

Jul 2025 - Aug 2025 (1 month)

Worked on data analytics and sustainability-focused projects using real-world datasets. Applied data cleaning, visualization, and analytics techniques and collaborated in a cross-functional virtual team supported by Salesforce.

Education

Degrees, certifications, and relevant coursework

PC

Pragati Engineering College

Bachelor of Technology, Information Technology

2022 -

Grade: 8.18

Pursuing a Bachelor of Technology in Information Technology with a CGPA of 8.18.

NC

Narayana Junior College

Intermediate, Mathematics, Physics, and Chemistry

2020 - 2022

Grade: 9.1

Completed Intermediate (MPC) with a CGPA of 9.1.

NS

Narayana E.M. School

Secondary School Certificate, General Studies

2019 - 2020

Grade: 9.8

Completed Secondary Education (SSC) with a CGPA of 9.8.

Tech stack

Software and tools used professionally

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