Abdulmoiz
FAST
· 2025
Email
abdulmoizamjad161@gmail.com
Phone
+923360220224
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.
Abdulmoiz +923360220224, abdulmoizamjad161@gmail.com Bahria Town, Rawalpindi. Linkedln: www.linkedin.com/in/abdulmoiz-amjad-207193248 Bachelor of Science (Data Science) Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Datamining, Machine Learning nd Data Engineering. Dr. Abdul Qadeer Khan College of Science and Technology, Rawalpindi Punjab F.Sc (Physics, Chemistry, Mathematics) Matriculation (Physics, Chemistry, Computer Science) rojects 'Final Pro ·ect: DocUCare [Django Rest Framework, React, Python, Generative Al, NLP] n Al based medical transcription system automates doctor-patient interactions using voice-to-text and chatbot echnology, ensuring accurate documentation, reducing errors and minimizing human intervention. emester Pro "ects: lnvestBot-AI Powered Domain Specific Chatbot for Finance [Python, Flask]: Developed an Al chatbot using RAG (Retrieval Augmented Generation) with LangChain libraries utilizingTinyllama, BART nd Phi3 models. ML Based Live Recommender System [Big Data, MongoDB, Kafka, Spark, Flask]: Developed a product recommendation system model trained on a massive Amazon dataset using machine learning echniques. Loaded the massive datasets into MongoDB using Apache Spark. Conducted EDA to visualize t he data, identify patterns, and uncover insights using PySpark. Meme Classifier [Python, ML, Flask]: Designed a sentiment analysis model to classify memes using various ML models that takes a meme as an input through he responsive Flask application. Data Warehouse ETL Project [Java, MySQL, Data Warehouse, PL/SQL]: Implemented a data warehouse pipeline using Mesh join algorithm for Master Data and Stream Data performing ETL perations and analyzing insights with SQL queries. omprehensive Forecasting System [Data Mining, Python, React.js]: Developed a robust forecasting system integrating multiple time series models including ARIMA, SARI MA, LSTM, Hybrid RIMA-ANN. I Intern, FAST University, Islamabad. orked as an Al Intern and developed an Al chatbot using LLMs and integrating front- nd/back-end functionalities. kills & Tools Professional Skills Leadership, Interpersonal Skills, Communication. July 2024 - Sept 2024 echnical Skills Python, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Django Rest Framework, Hadoop, Kafka, park, ETL, HTML, CSS, C/C++, JavaScript, React.js, R, Web Scrapping, Tableau, NLP, Java, Flask chievements ttended a seminar on Artificial Intelligence to expand industry knowledge. erved as a Demonstrator at the "Hack Overflow" 3 days' workshop at FAST National University. ompleted Summer Internship program by UrduX ctivities as a member of FOSS (Fast Data Science Society) for one year nterests Exploring Al, Cooking, Travelling, Foodie, Fitness, Investing FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Abdulmoiz is a Data Science graduate with practical experience in machine learning, deep learning, and full-stack development through academic projects and an AI internship. He has built applications involving NLP, RAG-based chatbots, and data pipelines using technologies like Python, Django, and Spark.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "NLP", "Django", "React", "Flask", "SQL", "NoSQL", "Spark", "Kafka", "TensorFlow", "RAG", "ETL", "Data Visualization"]
Status: ai_done
Provenance
Source file: —Created: 1777724106