Samruddhi Palodkar

MBA Tech student · AI/ML aspiring analyst

Mumbai, Maharashtra, India

@samruddhi_palodkar

0 followers

🎓 MBA Tech (Finance) & BTech (Artificial Intelligence) at NMIMS · Graduating 2028

About

MBA Tech student at NMIMS combining Finance and Artificial Intelligence studies. Builds end-to-end machine learning, computer vision, NLP, web, and Android project solutions, and is seeking an internship or entry-level role applying AI/ML to business problems.

Experience

AI Intern

Being Ambitious

Built responsive web pages and user interfaces using HTML, CSS and JavaScript. Focused on clean layout, consistent styling and interactive UI elements.

Education

2028

MBA Tech (Finance) & BTech (Artificial Intelligence)

MPSTME, NMIMS

Awarded by NMIMS

Finance, Artificial Intelligence · 2023 – 2028

Finance, Artificial Intelligence · 2023 – 2028

Skills

<3 months

C CSS HTML Java Python Budgeting JavaScript Deep Learning Computer Vision Machine Learning Financial planning Android development Natural Language Processing Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git GitHub SQLite Android Studio

Projects

Farmers Market

Android Studio

Built an Android Studio app that removes middlemen and gives farmers direct access to consumers. Improved farmer profitability and consumer trust through direct transactions and price transparency.
FyndStay

Android Development

Developed a mobile application that helps students find PGs based on their preferences, all in one place.
Resume Screener and Job Matcher

NLP

Designed a recruiter-facing NLP dashboard showing matches, percentage scores and candidate comparison against a job description.
Handwritten Sequence-based Digit Recognition Using Deep Learning

Deep Learning, CRNN, CTC, MNIST, TrOCR

Built a CRNN-CTC model on augmented MNIST digit combinations and benchmarked it against a pretrained TrOCR model.
Attendance Tracker System (Computer Vision)

Computer Vision

Built a computer vision-based system that automates attendance tracking from camera input, replacing manual roll calls. Developed as a team project for the Computer Vision course.
FraudSentinel – AutoML & Adversarial ML for Mobile Money Fraud Detection

AutoML, GANs, ML

Built an AutoML fraud risk scorer that compares four classifiers, auto-selects the best and outputs probability scores. Built a GAN-based adversarial pipeline that generates evasive transactions to test model robustness.

🏆 Achievements & awards

Smart India Hackathon Participation · 2024

Participated in Smart India Hackathon.

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