Eman Iqbal
--
Machine Learning & Generative AI Engineer
Aspiring ML & GenAI Engineer with hands-on experience in Python, Scikitlearn, and TensorFlow. Skilled in data preprocessing, model training, and
evaluation. Passionate about solving real-world problems using AI and
continuously learning emerging tools in generative models and intelligent
automation.
lahore, Pakistan
linkedin.com/in/emaniqbal
github.com/EMma-Sh
EDUCATION
SKILLS
Bachelor in Science in Computer Science
Lahore College Women University
Fast API
10/2023 - Present,
3.10
Courses
Computer Sciences
Artificial Intelligence
Software Engineering
DS and Algorithm
Intermediate in Computer Science
Concordia College
10/2021 - 03/2023,
Tensor Flow
Matplotlib
API's
Python
Pandas
Scikit Learn
Numpy
Machine Learning
Frontend-Dev
Communication Skills
mySQL
Generative AI
HTML
CSS
Problem Solving
JS
n8n
Lahore, Pakistan
Courses
Computer
NLP
PERSONAL PROJECTS
Physics
Credit card Fraud Detection (06/2025 - 07/2025)
Mathematics
Built a fraud detection model using Random Forest and Logistic
Regression. Achieved 92% accuracy and reduced false positives by 15%.
Used Python, Pandas, Scikit-learn.
WORK EXPERIENCE
Score Predicting Model (07/2025 - Present)
Machine Learning Internship
Code Alpha
07/2025 - Present,
Remote -- Internship -- Machine Learning Engineer
Lucknow, India
Trained multiple models (e.g., Logistic Regression, Random Forest,
XGBoost ) and selected the best-performing one using cross-validation .
Achieved high model accuracy (~90%+) and optimized precision-recall
tradeoffs for better financial risk control.
MiniChatBot (04/2025 - 05/2025)
Achievements/Tasks
Worked on real-world ML projects using Python, Scikit-learn, and
TensorFlow. Collaborated with mentors to develop and deploy
intelligent solutions, enhancing practical knowledge of machine
learning applications
Developed a Python-based chatbot using Flask and basic NLP techniques.
Deployed locally with Ngrok for testing. Integrated simple rule-based logic
for conversation handling.
Gained experience in data preprocessing, supervised and
unsupervised learning, model evaluation, and optimization
ORGANIZAIONS
Collaborated with mentors to develop and deploy intelligent
solutions, enhancing practical knowledge of machine learning
applications
Organization Name
CERTIFICATES
Machine Learning Internship
Skilfy Zone
07/2025 - 07/2025,
Remote -- Internship -- Machine Learning Engineer
ASH Conference 2024 (09/2024 - 09/2024)
Peshawar, Pakistan
Attended workshops on advanced machine learning techniques and networked
with industry professionals.
Machine Learning and GEN AI (06/2025 - Present)
Achievements/Tasks
Currently gaining hands-on experience in machine learning and AI
using Python, Scikit-learn, and TensorFlow
Engaged in ongoing learning focused on the latest advancements in machine
learning and generative AI technologies.
Collaborating with mentors to explore supervised and unsupervised
learning, while building practical skills in ML workflows and
intelligent system development
Enhanced programming skills with a focus on data structures, algorithms, and
best practices in Python.
Python in ML (05/2025 - Present)
Working on real-world datasets to apply data preprocessing, model
development, and evaluation techniques
LANGUAGES
Data Scientist
Forage
04/2025 - 05/2025,
Remote -- Internship -- Machine Learning Engineer
Washington, DC
Achievements/Tasks
Completed a data science simulation with Commonwealth Bank,
showcasing skills in data pipelines, privacy compliance, database
design, and social media data analysis to support informed decisionmaking.
Urdu
English
Native or Bilingual Proficiency
Full Professional Proficiency
INTERESTS
GenAI
Learning
Algorithms
Coding
Model Training
