Purvi Verma
I’m a Tech Enthusiast
Fourth-year undergraduate pursuing B.Tech. course at IIT Bhubaneshwar.
About Me
Hello! i’m Purvi Verma.
My main interest is Machine Learning Applications in real-world problems. I am proficient in various Python packages such as NumPy, pandas, matplotlib, BeautifulSoup, Praw, snscrape, sklearn, OpenCV, PyTorch, and TensorFlow. These tools empower me to work with data efficiently and develop machine learning models. Moreover, I possess a solid understanding of Natural Language Processing (NLP) fundamentals, allowing me to analyze and process textual data effectively.
Furthermore, I have a strong background in front-end development, particularly in HTML, CSS, and JavaScript. This expertise enables me to create visually appealing and interactive user interfaces, enhancing the overall user experience.
Additionally, I have knowledge about Qiskit, the software development kit for quantum computing. Quantum computing is an emerging and exciting field, and my familiarity with Qiskit reflects my eagerness to explore advanced technologies and their potential applications.
My Experiences
Artificial Intelligence Intern
March 2023 - May 2023
Design and developing deep learning models, such as Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN).
Assisting in data preprocessing, including data cleaning and feature extraction.
Research Intern
September 2022 - Present
The research focuses on detecting sexist text in the Indian context in several languages with a focus on minimizing bias. Extracting textual data from social media sites like Reddit, Twitter, Facebook, and YouTube using a web scrapper.
Framing annotation guidelines that make the process as objective as possible.
Achievements
Selected for Next Generation Women Leaders Asia Pacific 2023.
Ranked 4th in Amazon Product Data Scraping Crawler Making Competition Organized by IconBaby mOm Company.
Ranked 5th in CSS battle competition organized in GC at IIT BBS.
Completed Fundraising Internship at NGO Prashraya Welfare Foundation.
My Projects
Amazon Data Scraping Crawler: The project entails the development of a web crawler leveraging Selenium and Beautiful Soup to enable automated daily data extraction from Amazon. The primary objective is to compile targeted product information and curate a comprehensive dataset suitable for further analysis. The crawler will adeptly navigate through product pages, adeptly extracting crucial data points such as product names, prices, reviews, and ratings.
Customized Text Summarizer: The project is a full-stack web application that utilizes HTML, CSS, and JavaScript for the frontend and Flask with Python for the backend. It simplifies the extraction of key information from large texts by generating concise summaries based on custom word or sentence length.
TripAnalyzer: The TripAnalyzer project employs data processing, analysis, and visualization techniques to examine mobility patterns and hotspots in Beijing. It utilizes clustering (DBSCAN), evaluation (silhouette score), interactive map visualizations (folium), and network analysis (OSMnx with networkx). The project aims to gain insights into user mobility behaviors, trip connections, depot usage, distances traveled, and hotspot identification.
My Licenses & Certifications
Introduction to Web Development with HTML, CSS, JavaScript
March 11, 2023Learn about GANs and their applications.
Understand the intuition behind the fundamental components of GANs.
Explore and implement multiple GAN architectures.
Build conditional GANs capable of generating examples from determined categories.
Introduction to Web Development with HTML, CSS, JavaScript
March 11, 2023Create the basic structure of a website.
Create format and layout for web applications .
Enhance your website and create rich, interactive applications .
Increase user interactivity and enhance user experience .
Applied Text Mining in Python
December 19, 2022Understand how text is handled in Python.
Apply basic natural language processing methods.
Write code that groups documents by topic.
Describe the nltk framework for manipulating text.
Supervised Machine Learning: Regression and Classification
November 11, 2022Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Crash Course on Python
January 17, 2022Understand what Python is and why Python is relevant to automation.
Write short Python scripts to perform automated actions.
Understand how to use the basic Python structures: strings, lists, and dictionaries.
Create your own Python objects.
Contact Me
Open to work
Call Me On
+91 ----- -----
Email Me At
20ce01050@iitbbs.ac.in
