Open to opportunities

Vedant Patel

@vedantpatel1

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Data scientist and ML engineer building scalable AI-driven data products.

United States

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What I'm looking for

I seek a mid-level role applying ML and data engineering to build production AI products, with collaborative teams, clear deployment practices, and opportunities for technical growth.

I am a data scientist and machine learning engineer with hands-on experience designing and deploying production-ready AI systems, recommendation engines, and analytics dashboards. I combine strong software engineering fundamentals with an applied ML toolkit to deliver measurable business impact.

I have built multilingual generative AI chatbots, hybrid recommendation systems, and lead-scoring models, and I engineered data pipelines handling over one million records. My projects improved HR support efficiency, recommendation accuracy, and lead conversion targeting while providing observability through dashboards and APIs.

I collaborate across engineering, QA, and DevOps to ensure scalable, tested deployments using cloud platforms, containerization, and CI/CD practices. I seek roles where I can apply ML and full-stack data engineering to solve product-forward problems and drive user value.

Experience

Work history, roles, and key accomplishments

Generative AI Engineer

Personal Projects

Jul 2025 - Aug 2025 (1 month)

Built and deployed a multilingual HR generative AI chatbot using GPT-4, Streamlit, and ChromaDB, reducing HR support workload by 40% and improving semantic retrieval accuracy by ~60% over keyword search.

Python Streamlit GPT 4 ChromaDB PostgreSQL Semantic Search Deployment

Machine Learning Engineer

Personal Projects

Dec 2024 - Jan 2025 (1 month)

Designed and deployed CookMate, a cloud-ready hybrid recommendation system combining TF-IDF content filtering and KNN collaborative filtering, improving recommendation accuracy by 25% and shipping a Streamlit dashboard for user insights.

Python Flask scikit learn TF IDF Collaborative Filtering REST APIs Streamlit

Data Scientist

Personal Projects

Jun 2024 - Jul 2024 (1 month)

Developed a logistic regression lead scoring model and data pipelines processing 1M+ records, raising conversion targeting by 12% and exposing real-time scoring via a Flask REST API with cross-validation and hyperparameter tuning.

Python SQL Flask scikit learn Pandas NumPy GridSearchCV REST APIs Data Pipelines

Junior Software Developer

ConfidoSoft Solutions Pvt Ltd

May 2022 - Mar 2023 (10 months)

Designed scalable RESTful APIs with C#/.NET Core and optimized SQL schemas for PostgreSQL/MariaDB, reducing query latency by 30% and improving backend throughput by 25% through ETL automation and storage integrations.

C .NET Core REST APIs PostgreSQL MariaDB SQL Optimization Cassandra Docker CI CD

Software Engineering Intern

ConfidoSoft Solutions Pvt Ltd

Jan 2022 - May 2022 (4 months)

Supported Angular admin dashboard development and refactored MySQL queries, reducing report generation time by 40% and contributing to schema design for improved scalability.

Angular REST APIs MySQL Query Optimization Backend Development Schema Design Collaboration

Education

Degrees, certifications, and relevant coursework

Yeshiva University

Master of Science, Data Analytics and Visualization

2024 - 2025

Grade: 3.58 / 4.0

Completed a Master of Science in Data Analytics and Visualization with coursework in data science, analytical programming, and statistics; achieved a 3.58/4.0 GPA.

International Institute of Information Technology Bangalore

Advanced Certificate, Data Science

2023 - 2023

Grade: 3.59 / 4.0

Completed an Advanced Certificate Program in Data Science with coursework in machine learning and data science fundamentals; earned a 3.59/4.0 GPA.

Gujarat Technological University

Bachelor of Technology, Computer Science and Engineering

2018 - 2022

Grade: 3.16 / 4.0

Earned a Bachelor of Technology in Computer Science and Engineering with coursework in database management, web applications, AI, and information security; graduated with a 3.16/4.0 GPA.