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MEHREEN ASLAM
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ML Engineer/Full stack developer
I am an ML engineer /Full stack Developer professional with significant experience in managing and optimizing
computer systems. My passion for technology, coupled with my ability to effectively solve problems, makes me a valuable
asset to any IT team.
As an IT System Manager, I have overseen the design, implementation, and maintenance of critical IT infrastructure
components, including servers, networks, and storage systems. I excel in developing comprehensive strategies to ensure
the reliability, security, and performance of IT systems, while also staying abreast of emerging technologies and industry
best practices to continuously enhance operations.
EDUCATION
WORK EXPERIENCE:
MACHINE LEARNING AND DATA SCIENCE
BS IT
University of Sargodha
2020 - 2024
ICS
Degree college Sargodha
2018 - 2020
MATRICULATION
school Dodha
2023 - 2024
SKILLS
Python
R
TensorFlow
Data Preprocessing and Cleaning
Feature Engineering:
Technical troubleshooting
Interpersonal communication
Team leadership
Model Selection and Evaluation
Deep Learning
Problem-Solving and Critical Thinking
LANGUAGES:
Urdu (Native)
English (Fluent)
Punjabi
I am passionate about technical challenges and have
actively contributed to recognized online research
projects. My ability to work effectively under pressure and
collaborate with multidisciplinary teams makes me a
reliable and adaptable leader. I am confident that my
combination of technical skills, leadership, and research
experience can significantly contribute to the success of
any IT project.
Maaz Informatics | June 2024 - Sep 2024
Languages: Proficient in Python and R, with extensive
experience in data cleaning, preprocessing, and exploratory data
analysis.
Projects:
Potato Disease Classification: Successfully built and deployed a
TensorFlow model with 99% accuracy using FastAPI for realtime image predictions.
Click-Through Rate (CTR) Prediction: Developed regression and
ensemble models like XGBoost and GAM to predict CTR with a
focus on reducing RMSE to optimize predictions.
Song Popularity Prediction: Analyzed auditory features to
classify songs as "good" or "bad" using machine learning models.
BACKEND DEVELOPMENTSE4
| UHTECH SOLUTION Dec. 2023 - April. 2024
Frameworks: Experienced with Django and Flask for building
robust APIs.
Notable Work:
Laptop-to-Laptop File Sharing Application: Worked on
backend functionality for file transfer using Flask and React for
testing and deployment on localhost.
Database Management
OTHER ROLE & ACTIVITIES:
Teaching
Team Leader:
Responsable logistique et fondateurs | october,6 2022
