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Anjuman Shaheen

FAST · 2025
Email
anjumanshaheen77@gmail.com
Phone
+923331455196
LinkedIn
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

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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