Career Launch: Data Analysis (Excel & Power BI)
- Job-ready projects
- Power BI dashboards
- Interview prep & placement assistance
Services & Startup Support
Alongside training, we provide consulting and implementation for startups and businesses — from data pipelines to AI agents and integrations.
Data Analysis & Visualization
Dashboards, reporting and analytics pipelines to help teams make data-driven decisions.
AI Agents & Automation
Custom conversational agents and automation to streamline tasks and workflows.
AI Consulting & Integration
Strategy, model selection, fine-tuning and product integration for startups & teams.
Programs
Career Launch: AI & Machine Learning
- Python & data prep
- Modeling & evaluation
- Capstone: ML mini-project & placement support
Full Stack Career Track
- React frontend
- Node/Express backend
- Deployment & CI/CD
DevOps Practitioner Track
- Docker & Kubernetes
- CI/CD pipelines
- IaC & monitoring
Women's Empowerment — Job Readiness & Career Skills
- Communication & professional writing
- Mock interviews & interview strategy
- Resume & LinkedIn optimisation
- Confidence & workplace skills
Info Session
Join our free info session to learn about Unloop's tracks, see a project demo and get your questions answered.
Next session
Sat, Jan 13 • 5:00 PM IST
Agenda
- Program overview & outcomes
- Project demo
- Alum panel & quick Q&A
- How to apply + scholarships
Seats are limited — register to secure your spot.
Register for the info session
After registering we'll send a confirmation email with the join link and a calendar invite. If you don't get an email, check spam or contact us at info@unloopx.com.
Meet our Mentors
Experienced industry mentors guiding you through projects, interviews and the job search.
Career coach and engineering mentor. Helps students build portfolio-ready projects and prepares them for interviews. Focus areas: full-stack fundamentals, AI/ML, Problem Solving, portfolio strategy, interview prep.
Data analyst experienced in AI/ML, Excel, Power BI and business dashboards. Teaches storytelling with data, dashboard best practices, and interview case prep.
Machine learning engineer working on practical ML systems and deployments. Focus areas: model building, evaluation, feature engineering and deployment basics.
DevOps practitioner specializing in CI/CD, Docker, Kubernetes and cloud infra. Guides students on production-ready deployments and system design.