Open to opportunities

Ishita Biswas

@ishitabiswas

Message

Data scientist and ML engineer building scalable AI solutions that improve performance and reduce resolution time.

India

Message

What I'm looking for

I seek a data/ML role where I can build production ML systems, contribute to MLOps and research, work in collaborative teams, and deliver measurable performance improvements.

I am a data scientist and machine learning engineer with hands-on experience building production-ready AI systems and research-grade models. I have improved model performance and operational efficiency through applied ML techniques, boosting team productivity and reliability.

In industry roles I integrated boosting algorithms, PCA and autoencoders to enhance ML pipelines, and developed an image retrieval prototype with over 90% accuracy on a 50,000+ image dataset. During internships I designed AI-driven observability features, automated error resolution, and built recommendation engines that reduced incident resolution time by 60%.

My research background includes preprocessing physiological time-series, feature selection pipelines in WEKA and Python, and a Random Forest classifier achieving 95% accuracy; this work resulted in a CICBA 2025 conference paper. I seek roles where I can apply deep learning, MLOps, and full-stack data engineering to deliver measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Science Engineer

Current

Micron Technology

Jul 2025 - Present (11 months)

Improved ML model performance and team productivity by 40% through boosting algorithms and dimensionality reduction; developed an autoencoder-based image retrieval prototype achieving >90% accuracy on 50k+ images.

Python Boosting Deep Learning

Undergraduate Research Intern

Jadavpur University

Aug 2024 - May 2025 (9 months)

Developed a Random Forest classifier for Differential Dermal Potentials achieving 95% accuracy using supervised feature selection and 10-fold stratified CV; co-authored a paper accepted at CICBA 2025.

Python WEKA Random Forest Cross Validation Mutual Information Signal Processing

Technology Development Intern

Optum

Jun 2024 - Aug 2024 (2 months)

Built AI-powered observability features and an AI-driven recommendation engine using FastAPI, React, and PostgreSQL, improving system reliability by 40% and reducing incident resolution time by 60%.

fastAPI Python React PostgreSQL Docker DevSecOps Neural Networks Log Analysis

Education

Degrees, certifications, and relevant coursework

Jadavpur University

Bachelor of Engineering, Electronics and Instrumentation

2021 - 2025

Grade: 8.55 CGPA

Activities and societies: Undergraduate research intern (Department of IEE), participated in projects and conferences; selected for scholarships and competitive programs (AnitaB.org, WISH 2024).

Bachelor of Engineering in Electronics and Instrumentation with a CGPA of 8.55, completed coursework and research projects including physiological signal classification and applied ML.