Deep Dave
@deepdave
AI/ML engineer and data analyst building ML solutions, LLM prompts, and actionable analytics.
What I'm looking for
I am an AI/ML engineer and data professional with hands-on experience building ML solutions, working with LLMs and prompt engineering, and deploying models and apps on cloud platforms. I have designed Power BI dashboards, developed ETL pipelines, and translated complex datasets into actionable business insights across healthcare and HR domains.
My recent work includes experimenting with Gemini models, contributing to an AI Diagram Generator, and assisting R&D for an AI agent-based chatbot while using Terraform and Google Cloud for infrastructure. I hold multiple certifications including Google Cloud Digital Leader and Data Engineering on GCP, and I actively seek roles in AI/ML engineering or data analytics where I can deliver impact and continue learning.
Experience
Work history, roles, and key accomplishments
Junior AI/ML Engineer
Evonence
Dec 2025 - Present (3 months)
Contributed to internal AI projects including an AI Diagram Generator by experimenting with Gemini models and prompt engineering to improve accuracy and reduce generation time; assisted in R&D for an agent-based chatbot (Elis.ai) and implemented Terraform IaC for GCP resources while earning GCP certifications.
Data Analyst Intern
AArete
Apr 2025 - Sep 2025 (5 months)
Mined and analyzed 1,000+ US healthcare claims monthly, ensured HIPAA compliance, and designed interactive Power BI dashboards connected to MS SQL Server to track claim approval rates and processing metrics for stakeholders.
Data Analyst Intern
NoQ's Digital
Jan 2024 - Feb 2024 (1 month)
Built an HR analytics Power BI dashboard tracking attrition, tenure, training effectiveness and configured Row-Level Security and Incremental Refresh to enable secure, efficient department-level reporting.
Education
Degrees, certifications, and relevant coursework
AISSMS Institute of Information Technology
Bachelor of Engineering, Computer Science
2021 - 2025
Grade: 7.9 CGPA
Completed a Bachelor of Engineering in Computer Science with coursework and projects in machine learning, data analytics, and software development, graduating with a 7.9 CGPA.
Availability
Location
Authorized to work in
Job categories
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