Anjuman Shaheen
FAST
· 2025
Email
anjumanshaheen77@gmail.com
Phone
+923331455196
LinkedIn
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GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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Address
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Anjuman Shaheen +923331455196, anjumanshaheen77@gmail.com 1/10-2, Islamabad Linkedln: www.linkedin.com/in/anjuman-shaheen-299229172 achelor of Science (Data Science) Data Science, Deep Learning, Data Analytics, Data Visualization, Data Mining, Machine Learning, NLP, and Generative Al. ga Khan Higher Secondary School and College Gahkuch, Gilgit Baltistan .Sc (Physics, Chemistry, Mathematics) ga Khan Higher Secondary School and College Gahkuch, Gilgit Baltistan atriculation (Physics, Chemistry, Mathematics) rojects Final Pro ·ect: SmartStudy Companion using Knowledge Graph and RAG framework n Al-driven personalized learning system for programming enthusiast s, leveraging Large Language Models (LLMs) nd Knowledge Graphs to visualize concept relationships, guide learners through an optimal topic sequence, and enable interactive Q&A via a RAG-based chatbot. emester Pro"ects: Live Product Recommender system (python] : Implemented a recommendation model using Apache Spark, gaining hands-on experience in machine learning algorithms and data analysis. ERT-Based Chatbot [python] : Fine-tuned the BERT model and integrated it with a ReactJS frontend to develop an interactive chatbot. Enhanced Privacy in Data Transmission Using Steganography & Cryptography [python] : Designed a security pipeline combining RSA encryption and steganography to securely t ransmit sensitive data via images and audio. ear-Real-Time Data Warehouse for METRO Shopping Store [Java, SQL] : Built and analyzed a data warehouse prototype to track customer shopping behavior in near real-time, optimizing ales strategies using ETL and MESHJOIN algorithms. ew Age Grocery Store Management System (C++]: Developed an object-oriented software solution to automate operations for a nationwide grocery chain, enhancing both in-person and virtual shopping experiences. I/ML Intern at Nokia, H-8/4 Islamabad. Designed a Telecom predictive analytics solution leveraging time series models to uncover rends and optimize decision-making. Gained hands-on experience in data preprocessing nd model training for impactful business insights. kills & Tools rofessional Skills Communication skills, Team work, Adaptibility. July 2024 echnical Skills Python,C++,SQL,Time Series models (ARIMA,Prophet etc), Machine learning models, Deep and Generative Al models, Web Scraping, Exploratory Data Analysis( EDA). Trainings I Certification mplementing Al solutions in Business, Platform: DataCamp ntroduction to Python, Platform: DataCamp ntermediate & Advance Python, Platform : DataCamp ctivities April 2024 February 2024 Febraury 2024 Contributor to Mozilla Common Voice (Urdu) - Providing speech and text data to improve Urdu Language Al models. ttended Seminars - Engaged in discussions on emerging t echnologies, Al advancements, and industry trends to stay updated with the latest innovations. nterests Reading Books, Attending camps, Gardening, Cooking, Watching potcasts and documentaries. FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Anjuman Shaheen is a Data Science graduate with practical experience as an I/ML Intern at Nokia, specializing in machine learning, deep learning, and NLP. She has demonstrated technical proficiency through academic projects involving RAG frameworks, recommendation systems, and data warehousing.
Skills (AI)
["Python", "SQL", "C++", "Machine Learning", "Deep Learning", "Generative AI", "NLP", "Data Visualization", "Data Mining", "Time Series Models", "ARIMA", "Prophet", "Web Scraping", "EDA", "Apache Spark", "BERT", "ReactJS", "Java", "ETL", "Steganography"]
Status: ai_done
Provenance
Source file: —Created: 1777724106