Brain Tumor Detection
ML · Python
Built a machine learning model to detect brain tumors from 100 MRI images, achieving high classification accuracy.
AYESHA SHAKEEL
AI & Machine Learning | Data Analyst
A motivated Data Analyst and machine learning engineer with hands-on experience in working on data projects and by using machine learning to solve real-world problems. I like to collaborate with multiple teams to learn about data and uncover valuable information that can support decision making. I am interested in using Python to automate tasks, to make them easy to understand by using graphs for reporting. I am always eager to learn new things by getting familiar with artificial intelligence and machine learning methodologies. In future, I wish to contribute my expertise in Data Science, Machine learning and Artificial Intelligence to organizations to empower them with better decisions.
About
A bit about me
Motivated AI, Machine Learning, and Data Analyst professional with hands-on experience in data analysis, machine learning, and AI-based document systems. Skilled at collaborating with cross-functional teams to uncover insights that support smarter decisions. Confident in using Python to automate tasks and create clear data visualizations for reporting.
Currently exploring Retrieval-Augmented Generation (RAG), graph databases, and knowledge representation, with a goal of contributing to organizations through Data Science, Machine Learning, and AI.
2+
Internships
8+
Projects
6
Certifications
6
Languages
ACADEMICS
Education
Expected 2027
BS Artificial Intelligence
University of Management and Technology, Lahore
09/2024
Artificial Intelligence (2-month course)
Arfa Karim Technology Incubator, Bahria Campus, Lahore
2023
FSc Pre-Engineering
Unique College Bahria Campus, Lahore
2021
Matric (Biology)
Unique Group of Institutions, Lahore
Toolkit
Skills & technologies
Languages
PythonC++JavaPrologHTMLCSS
AI / ML
Machine LearningAIMLKnowledge Representation & ReasoningRAG / Retrieval-Augmented LLMs
Data
SQLPandasNumPyMatplotlibPostgreSQLpgvectorEmbedding lifecycle
Other
Problem SolvingCommunicationTeamworkEnglish (Conversational)Urdu (Fluent)
Career
Experience
Machine Learning Intern
ProjekteX Engineering · Remote · NYC, US
- Assisted in building an AI-based project to manage and analyze technical documents.
- Worked on document processing and information organization so users could easily locate information.
- Gained production experience with Python and RAG/retrieval-augmented LLM systems — chunking, retrieval quality, reranking, grounding.
- Worked with PostgreSQL, vector search (pgvector), full-text search, and embedding lifecycle management.
- Tested features, fixed bugs, and ensured overall system quality through close team collaboration.
Data Analyst Intern
Arch Technologies · Remote · Islamabad, Pakistan
- Analyzed library management system data using SQL queries, presenting findings in clear tabular format.
- Developed Python code to analyze Spotify music data, uncovering trends in musical preferences.
- Performed data analysis and database operations using SQL on retail sales data.
- Extracted, transformed, and loaded (ETL) data into databases using SQL queries.
Selected work
Projects
Student Exam Score Analysis
Python
Data preprocessing and visualization (graphs, heatmaps) to classify student performance.
Retail Sales Analysis
SQL
Designed database structures and queries to present retail sales data in structured tables.
Library Management Analysis
SQL
Performed data analysis and presented results in clean tabular format.
Spotify Music Data Analysis
Python
Analyzed music data to uncover trends and listener patterns.
Java MVC Database Project
Java · MVC
Built a data frame using Java with the MVC framework for database connectivity.
AI Chatbot
Prolog · AIML · Python
Created a chatbot using knowledge representation with 30 family relationships in Prolog.
Arduino Robot
Hardware
Designed and programmed a wall-following and line-following robot, with video documentation.
Academic publication
Utilizing Deep Learning for Intrusion Detection in Healthcare Environment and Blockchain Technology
Achievements
Certifications
Supervised Machine Learning: Regression and Classification
Coursera with Standford University
Build and train supervised machine learning models for prediction, Performed binary classification tasks including Linear Regression & Logistic Regression, Jupyter, Data Preprocessing, Algorithms, Feature Engineering
August 6, 2026
Neo4j Fundamentals
Neo4j GraphAcademy
Graph theory, structures, reading/writing data in Neo4j, Cypher patterns.
Jun 22, 2026
Cypher Fundamentals
Neo4j GraphAcademy
Cypher patterns, reading and writing data to a graph.
Jun 22, 2026
Artificial Intelligence (Cohort 06)
Arfa Karim Technology Incubator, Bahria Campus
Certified in Artificial Intelligence — 2-month course.
2024
CyberFest Event
Lahore Garrison University, Lahore
Attended as an AI student.
2025
English Immersion — Certificate of Achievement
University of Management and Technology
Recognized for achievement in English Immersion programme.
2025
Data Analyst Internship Completion
Arch Technologies, Islamabad
Completed remote Data Analyst internship.
Aug 2025
Get in touch
Let's build something
ayeshashk@zohomail.com
Phone
+92 307 9423662
ayesha-shakeel
Location
Lahore, Punjab, Pakistan
Interests
Social work · Drawing · Reading books · Teamwork