Anjali Jonnada
@anjalijonnada
I build Python machine-learning projects for text classification and drug side-effect prediction.
What I'm looking for
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
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
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.
Narayana Junior College
Intermediate, Mathematics, Physics, and Chemistry
2020 - 2022
Grade: 9.1
Completed Intermediate (MPC) with a CGPA of 9.1.
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
Availability
Location
Authorized to work in
Job categories
Skills
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