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 ~k +923709150565, umme.dev@gmail.com Rawal Town, Rawalpindi. '~/fl ~! Linkedln: httE!s://www.linkedin.comLinLumm-e-hani-5903132b9L ~ / 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