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Kashak JoshiKJ
Open to opportunities

Kashak Joshi

@kashakjoshi

Data Scientist building end-to-end ML pipelines and production-ready APIs.

India
Message

What I'm looking for

I’m looking to build scalable NLP/ML solutions and ship production-ready APIs. I want a team that values clean ML pipelines, CI/CD, and cloud deployment, where I can iterate quickly and improve model performance from feedback.

I’m a Data Scientist and Machine Learning Engineer focused on building end-to-end ML pipelines, NLP systems, and deploying production-ready APIs. I enjoy turning real business requirements into scalable, data-driven solutions that work in practice.

I built an NLP-based Complaint Management System that classifies complaints into 92 distinct categories with high accuracy. I also designed and trained a multi-class text classification model using tokenization, TF-IDF vectorization, and supervised learning.

To make models usable for clients, I designed and deployed REST APIs using FastAPI and containerized them with Docker for integration and deployment. I’m especially interested in CI/CD workflows and cloud deployment, and I collaborate iteratively to improve model performance based on feedback.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Indraprastha University logoIU

Indraprastha University

B.C.A, Computer Application

2024 - 2027

Activities and societies: Developed NLP pipelines for complaint classification (92 categories) and deployed ML models via production-style REST APIs.

B.C.A (Computer Applications) at Indraprastha University (2024–2027), including building an NLP-based Complaint Management System and multi-class text classification model. Designed and deployed a FastAPI REST API for real-time complaint classification.

IBM SkillsBuild logoIS

IBM SkillsBuild

IBM SkillsBuild Certificate, Machine Learning for Data Science Projects

2026 - 2026

Activities and societies: Credly Verified (issued Jun 2026).

Certified by IBM SkillsBuild in Machine Learning for Data Science Projects, covering supervised learning, regression, classification, evaluation, feature engineering, and ML pipeline topics.

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