← Back to cohort

Aqsa Rahman

FAST · 2023

aqsarahman71@gmail.com

Phone

+923356822223

https://www.linkedin.com/in/aqsa-rahman-44265a1a6/

GitHub

—

Academic

Program

Bachelor of Data Science

CGPA

—

Year

2023

Education

FAST - National University of Computer and Emerging Sciences, Islamabad

Address

PWD housing society, Islamabad

DOB

—

Career

Current role

Machine Learning Engineer, Emumba Pvt Limited Islamabad

Target role

—

Skills

Python, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Flask Rest Framework, ps, Android Studio, HTML, CSS, GPT prompt engineering, fine-tuning of models, Leadership, Interpersonal Skills, Communication, Spark, Kafka, Flutter React, D3 javascript, BERT model, machine learning, k-mean, clustering, Image segmentation, Image classification, ML, ANN, CNN

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.

Aqsa Rahman
+923356822223, aqsarahman71@gmail.com
PWD housing society, Islamabad.
LinkedIn: https://www.linkedin.com/in/aqsa-rahman-44265a1a6/

Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Data Science
Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Datamining, Machine Learning and Software Project Management & Engineering.
2023
Commecs College, Karachi , Pakistan
F.Sc (Physics, Chemistry, Mathematics)
2018
MCCS school ,Karachi Pakistan
Matriculation (Physics, Chemistry, Computer Science)
2016

Projects
Final Project: Bee-Check ; an automated system for monitoring bee hives[Python,Spark,Kafka,Flutter React]
A mobile and web application to constantly monitor live health of hives using visualizations
Semester Projects:
Visualization of London Train stations - [ D3 javascript and python]:Semester project in Data Analysis and Visualization course. Made use of D3 javascript to visualize london train station on the map of london, also created forced directed graph of the Visualization
Data Warehouse for METRO - [ SQL, java]:project in data warehousing course. Created a warehouse for METRO using sql and java. Analyzed the data using sql queries to answer meaningful questions.
Neutralizing subjective bias in text - [ python, BERT model]:Made use of python language BERT model and neural networks to neutralize subjective bias in text.
Image classification on human eye retina images - [ python, machine learning]:The project comprised Image sampling using k-mean, clustering, Image segmentation, and Image classification using ML, ANN, and CNN models.

Work Experience
Machine Learning Engineer, Emumba Pvt Limited Islamabad
Working Machine Learning Engineer,Fine tuning of GPT-3 for business specific problems, Data Mining and Data Analytics
Feb 2023- Present

Skills & Tools
Professional Skills Leadership, Interpersonal Skills, Communication.
Technical Skills Python, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Flask Rest Framework, ps, Android Studio,HTML, CSS, GPT prompt engineering, fine-tuning of models.

Activities
Part of Women Tech Society by Google developers

Interests
Playing Strategy games , Reading motivational books

Listed onto University’s Dean’s list for outstanding Academic Performance
Top-3 finish in “HackOverflow” at NaSCon’22, the biggest Data Science competition in Pakistan

Trainings / Certification
Natural Language Processing with Classification and Vector Spaces, Coursera

Activities
Technical Secretary at FAST Gaming Club (FGC)
Technical Head at FAST Television and Culture Society (FTCS)

Interests
Playing video games, reading books, writing

National University of Computer and Science (NUCES), Islamabad Campus | Pakistan

AI enrichment

Aqsa Rahman is a Machine Learning Engineer with a Bachelor's in Data Science from FAST-NUCES, currently specializing in fine-tuning GPT-3 and data analytics at Emumba Pvt Limited. She has a strong academic record with Dean's List honors and competition awards, supported by hands-on project experience in deep learning, NLP, and data visualization.

Skills (AI)

["Python", "Machine Learning", "Deep Learning", "GPT Fine-tuning", "Prompt Engineering", "TensorFlow", "Scikit-learn", "SQL", "NoSQL", "Flask", "BERT", "Data Visualization", "Spark", "Kafka", "Flutter", "React", "D3.js", "Java", "PL/SQL"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 417
Created: 1778112745