Poojitha Penta

ć ad3dtx@r.postjobfree.com Ħ +1-413**-***** ] https://www.linkedin.com/in

EDUCATION

UNIVERSITY OF MASSACHUSETTS AMHERST Sep 2023 - May 2025 Master of Science in Computer Science

Coursework: Advanced Machine Learning, Advanced NLP, Deep Learning, Information Retrieval, Meth of Applied Statistics SREENIDHI INSTITUTE OF SCIENCE & TECHNOLOGY Jul 2018 - Aug 2022 Bachelor of Technology in Computer Science & Engineering CGPA:8.65/10 Coursework: Data Structures, Design and Analysis of Algorithms, Operating Systems, Database Management Systems, Data Warehousing & Data Mining

TECHNICAL SKILLS

• Languages: Python, R, SQL, C, HTML/CSS

• Technologies/ Frameworks: Pytorch, TensorFlow, NLTK, Azure, Flask, Django, SQLite

• Certifications: Coursera Python for Everybody, IBM Badges : Deep Learning using TensorFlow, Deep Learning Essentials and Accelerated Deep learning with GPU.

EXPERIENCE

Qwikskills India Feb 2023 - Aug 2023

Azure Cloud Intern

• Assisted in building hands-on labs using Azure Services - Cognitive Services, Azure Databricks, VM, App services.

• Enhanced the security of infrastructure by embedding custom roles, policies for minimizing the use of SKU configurations. AT&T Hyderabad, India Mar 2022 - Sep 2022

Technical Intern

• Worked on the development of an automated system for monitoring Linux based applications and Virtual Machines.

• Managed the collection of heartbeats from applications and delivered to Azure Monitor using Telemetry Client SDK.

• Handled delivery of json payloads to the respective application insights as traces and scheduled customized alert emails.

• Recorded the traces obtained from all the applications on workbooks and analyzed them through graphs and charts.

• Developed a REST API interface for telephone ownership lookup using HMAC-SHA256, base64 for authorization, en- coding respectively.

TechCiti Private Limited Bangalore, India May 2020 - Jul 2020 Software Developer Intern

• Deployed a Machine Learning Portal named “EMR Data Analysis to Predict Various diseases” using Django framework.

• Engineered the prediction of heart disease, breast cancer, diabetes using Random Forest Classifier, Logistic Regression Algorithms and attained accuracies 91%, 92.7% and 94% respectively. ACADEMIC PROJECTS

Modeling the BERT–FLAN-T5 Synergy for Personalized Profile-Aware News Classification Sept 2023 - Dec 2023

• Proposed a novel framework with BERT as retrieval model and a Large Language Model (LLM) named FLAN-T5 base for categorizing input news article.

• Implemented text preprocessing using NLTK and retrievals using BM25Okapi(BM25), BertTokenizer & BertModel(BERT).

• Achieved 4 point absolute F1 score increase with BERT personalized encodings when compared to baseline BM25. Covid-19 Virtual Assistant Feb 2022 - Jun 2022

• Trained an intelligent chatbot equipped with speech to text and text to speech translation features, that provides necessary information regarding Covid-19 such as preventive measures, nearby hospitals, vaccination centers etc.

• Acquired an accuracy of 87.04% with the implementation of Deep Learning model and the principles of NLP.

• Frameworks: Flask, NLTK, PyTorch, NumPy, TensorFlow, Beautiful Soup-bs4, Pandas. Real time product analysis using Web Scraping Oct 2021 - Dec 2021

• Designed a web application that enables comparison of products based on price and ratings from two e-commerce platforms namely Amazon and Flipkart.

• Utilized Beautiful Soup (bs4) for efficient parsing of complex HTML structures into Python objects, and employed Selenium WebDriver to automate web interactions for enhanced functionality.

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