---
title: "Princy Verma - Project Intern — National Institute of Technology Calicut in Pune City | Tal"
description: "Meet Princy Verma, Aspiring Data Scientist | ML, Time Series & Predictive Modeling | Python | Applied Projects in Finance & Forecasting based in Pune City. Explore public work links including github."
image: "https://tal.club/meet/princy-verma/share-image"
---

# Princy Verma on Tal

## Headline

Aspiring Data Scientist \| ML, Time Series &amp; Predictive Modeling \| Python \| Applied Projects in Finance &amp; Forecasting

## About

I build machine learning models that turn real\-world data into actionable insights\. Currently pursuing an M\.Sc\. in Data Science at DIAT Pune \(SGPA: 8\.45\), I focus on predictive modeling, time series analysis, and data\-driven problem solving using Python and SQL\. My experience includes: • Forecasting stock prices using ARIMA, LSTM, and GRU, along with portfolio simulation • Building air\-quality prediction models using SARIMAX and Prophet • Developing a supply\-chain risk analysis pipeline using satellite data and NLP • Applying machine learning techniques to clinical datasets during my internship I enjoy working on end\-to\-end problems — from data cleaning and feature engineering to model building and evaluation\. I am currently seeking Data Scientist roles where I can apply machine learning and analytics to solve real\-world problems\.

## Location

Pune City

## Work experience

Project Intern — National Institute of Technology Calicut at National Institute of Technology Calicut, Aug 2025 \- Dec 2025 · 5 mos, Kozhikode, Kerala, India, • Built a system to detect potential threats in video data using a combination of computer vision and NLP techniques • Used YOLO \(You Only Look Once\) for object detection on video frames • Applied BERT \(Bidirectional Encoder Representations from Transformers\) to process contextual information related to detected scenes • Explored scene graph generation to understand relationships between objects in a frame • Combined visual and contextual signals to identify potentially suspicious situations • Implemented the pipeline using Python with libraries like OpenCV and deep learning frameworks

Project Intern — Palanam Technology Private Limited at Palanam Technology Pvt\. Ltd\., Jul 2025 \- Aug 2025 · 2 mos, Delhi, India, • Built machine learning models on structured data for classification tasks • Performed feature engineering using graph\-based techniques \(parenclitic networks\) • Applied models such as Random Forest, SVM, and Logistic Regression • Developed data processing and modeling pipelines using Python \(Pandas, NumPy, Scikit\-learn\) • Evaluated model performance using standard metrics

## Education

Master of Science, Data Science, Defence Institute of Advanced Technology \(DIAT\), DU, DRDO

Bachelor of Education, Mathematics, Raja Mahendra Pratap Singh university, aligarh

## Public links

- github: https://github\.com/Princy2129

[View the original profile](https://tal.club/meet/princy-verma)

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