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Umm e Hani

FAST · 2025
Email
umme.dev@gmail.com
Phone
+923709150565
LinkedIn
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Umm e Hani
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+923709150565, umme.dev@gmail.com
Rawal Town, Rawalpindi.
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Education
Bachelor of Science (Data Science)
Major: I Data Science
Punjab Group of Colleges, Islamabad Punjab
F.Sc (Physics, Chemistry, Mathematics)
The Educators, Rawalpindi Punjab
-
Matriculation (Physics, Chemistry, Biology)
Projects
Final Proiect: NewsGuardX: GraphRAG for Causal News Detection [Groq API, Langchain, Huggingface,
Neo4j]
A GraphRAG-powered system for causal news detection, using hybrid retrieval with structural and embedding-based
event ranking in Neo4j, a weighted relevance scoring model, and a validation layer ensuring ~80% accuracy.
Semester Projects:
lntentLens
[Groq
API,
Crew Al,
Stream lit,
Scikit-learn]
A multi-agent framework for automated user feedback analysis, featuring specialized agents for intent detection,
urgency assessment, and recommendations, integrated with Groq API and CrewAI.
Human
Activity
Prediction
[PyTorch,
Streamlit,
OpenCV,
Kaggle]
A deep learning-based video prediction system on UCF101, achieving SSIM scores of 0.89 (PredRNN) and 0.85
(ConvLSTM), with real-time model selection and optimized training on T4 GPUs.
C02
Prediction
Models
[Flask,
React.js,
TensorFlow,
SQLite]
Developed time series models, including LSTM, RNN, and ARIMA, for daily C02 forecasting, achieving 90% R2-scores
with seasonality-aware predictions.
Work Experience
Generative Al Internship [Datalnsight Lab - FAST NUCES]
Jun 2024 - Aug 2024
Developed a multi-personality Roman Urdu chatbot using Unsloth and Groq API,
optimized LLM inference, and explored LangChain-Groq for efficient deployment.
Teaching Assistant - Data Analysis & Visualization [FAST NUCES]
Aug 2024 - Jan 2025
Evaluated quizzes and assignments while assisting in course-related tasks.
Skills & Tools
Professional Skills
Problem Solving, Critical Thinking, Research & Analysis, Communication, Team Collaboration,
Time Management.
Technical Skills
Python, Flask, React, streamlit, MySQL, MongoDB, Hadoop, Spark, Kafka, Data Warehousing
(JAVA), Computer Vision - YOLOv8, LLMs, Al Agents, GraphRAG, Selenium, BeautifulSoup,
TensorFlow, PyTorch, LangGraph
Achievements
Awarded with Dean's List of Honors (Fall 2024)
Awarded with Dean's List of Honors (Fall 2023)
Awarded with Dean's List of Honors (Spring 2023)
Trainings I Certification
Participated in the Elixir AWS Lambda Hackethon, where we received hands-on training and worked with industry
professionals to gain real-world insights into advanced serverless solutions and industry practices.
Activities
:iocial Media Publications Officer for Publications Team in NaSCOn'23.
Worked as an Usher for assisting company representatives at Job Fair.
Interests
Reading books, Playing video games, Exploring new technologies.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Umm e Hani is a recent Data Science graduate with internship experience in Generative AI and a strong academic record marked by Dean's List honors. She has built multiple projects involving LLMs, GraphRAG, and deep learning, demonstrating proficiency in Python, PyTorch, and modern AI frameworks.
Skills (AI)
["Python", "Generative AI", "LLMs", "GraphRAG", "LangChain", "PyTorch", "TensorFlow", "Neo4j", "React.js", "Flask", "Computer Vision", "Data Analysis", "CrewAI", "Groq API"]
Status: ai_done
Provenance
Source file:
Created: 1777724106