Kashak Joshi
@kashakjoshi
Data Scientist building end-to-end ML pipelines and production-ready APIs.
What I'm looking for
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
ML Engineer
Ditoz Softwares and Services
Jan 2026 - Present (6 months)
Developed end-to-end ML pipelines, NLP systems, and production-ready APIs as part of a project-based contract role. Used Python-based tooling including FastAPI for REST services and Dockerized deployments with CI/CD workflows.
Education
Degrees, certifications, and relevant coursework
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
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.
Availability
Location
Authorized to work in
Job categories
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