Anushree  Sanjeev Sawant profile photo 1 on Tal

Anushree Sanjeev Sawant

Final Year Student @PES UNIVERSITY

Bengaluru

< 1 year of work experience

PES University
Aug 20262 mosPresent

Bengaluru, Karnataka, India

CoDMAV PESU
Jun 20253 mosAug 2025

On-site

Jun 20253 mosAug 2025

Built a multi-omics ML pipeline integrating 8,137 genomic, phenotypic, and environmental features for maize yield and disease prediction. Applied chromosome-aware feature selection and ensemble learning (Random Forest, Gradient Boosting, Extra Trees, SVM), improving prediction performance by 15–30%. Achieved 0.9973 AUC for disease prediction and 0.9284 AUC for yield prediction across high-dimensional genomic datasets.

Anushree’s AI Stack

claude code
claude code
deepseek
deepseek
gemini
gemini
github copilot
github copilot
hugging face
hugging face
ChatGPT
ChatGPT

Education

PES University

PES University

20234 yrs2027

Christ Academy junior college

20212 yrs2023

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Anushree Sanjeev Sawant on Tal

Headline

Final Year Student @PES UNIVERSITY

About

I am a Computer Science and Engineering student passionate about leveraging AI, full-stack development, and network security to build impactful solutions. With hands-on experience in web development, networking simulations, compiler design, and AI-driven applications, I enjoy solving real-world challenges through technology.

Location

Bengaluru

AI stack

claude code

deepseek

gemini

github copilot

hugging face

ChatGPT

Work experience

Teaching Assistant - Visualization of Data, Understanding and Interpretation at PES University, Aug 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Research Intern at CoDMAV PESU, Jun 2025 - Aug 2025 · 3 mos, On-site

Research Intern at CoDMAV Research Center, PES University, Jun 2025 - Aug 2025 · 3 mos, Built a multi-omics ML pipeline integrating 8,137 genomic, phenotypic, and environmental features for maize yield and disease prediction. Applied chromosome-aware feature selection and ensemble learning (Random Forest, Gradient Boosting, Extra Trees, SVM), improving prediction performance by 15–30%. Achieved 0.9973 AUC for disease prediction and 0.9284 AUC for yield prediction across high-dimensional genomic datasets.

Education

PES University

Christ Academy junior college

Anushree Sanjeev Sawant - Teaching Assistant - Visualization of Data, Understanding and Interpretation in Bengaluru | Tal