Introduction
Hi, I'm Janvi Karia, Software Engineer & Project Management Officer
Experienced PMO professional with strong technical background in software development and data analytics. Passionate about optimizing processes and driving organizational efficiency.
2.5+
Years of
Experience
12+
Internal audits
About
Every great solution begins with
a passion for problem-solving
From optimizing resource management and financial forecasting to building machine learning models and full-stack applications, I’ve combined analytical thinking with software development to drive impact. I’ve conducted technical workshops, earned Google Cloud badges, and collaborated on data-driven solutions. Always eager to learn, I thrive on tackling complex challenges and building scalable systems, one line of code at a time.
Resume
Education & Experience
Project Management Officer (PMO)
LTIMindtree
- Optimized resource allocation for 100+ client engagements
- Conducted 12+ internal audits
- Managed revenue forecasting & projections
Bachelor of Engineering in Computer Engineering
University of Mumbai - AIKTC
CGPA: 7.98
Services
My Specializations
Website Design
I created digital products with unique ideas use Figma & Framer
24 ProjectsDevelopment
I build website go live with Framer, Webflow or WordPress
126 ProjectsSEO/Marketing
Increase the traffic for your website with SEO optimized
8 Projectsmy skills
Technical Expertise

90%
Python

85%
Java

88%
SQL

85%
Google Cloud
Projects
Featured Projects
Brain Tumor Detection
Developed a Machine Learning model using Python, OpenCV, and TensorFlow to classify MRI scans with 85%+ accuracy.

Café Management System
Designed a Java-based inventory and order management system with MySQL database integration for efficient transaction processing.
Website for Global Corporation
Built a scalable web application using Laravel (PHP) and MySQL, integrating user authentication and RESTful APIs.
Restaurant Billing System
Implemented a C-based billing system using linked lists and hash tables, reducing billing computation time by 40%.