Sibghat Ullah

Academic

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Sibghat Ullah
+923028102360, sibghat48@gmail.com
LinkedIn: https://www.linkedin.com/in/sibghat-ullah-018b921a1/
Education
Bachelor of Science (Computer Science)
Major:
Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Probability and Statistics,
Data Mining, Data warehouse, Databases
GC University, Lahore
F.Sc (Physics, Chemistry, Mathematics)
Ghazali Model School, Phalia
Matric (Biology, Physics, Chemistry, Mathematics)
Projects
Final Project: FIT- Framework for IoT Applications
FIT is a framework which provides the ability to create custom CEP scenarios through GUI. It is currently being
developed by our group (3 members) as final year project.
Semester Projects:
Semantic Segmentation Using Deep Learning Techniques in High Resolution Remote Sensing Images:
was able to distinguish between 7 different labels of the drone deploy dataset. It was based on U-Net technique. It
had F1-score of 0.91 even though I didn't use elevation map given with dataset.
OCR:
A basic OCR which was able to extract text from images even taken from different angles.
Common Sense Validation:
It was able to distinguish between the given two sentences based on their sense making with an accuracy of 88.2.
Course Recommendation System:
It predicted courses for next semester given the history of grades of student. It also considered the course patterns of
old and current students as well
Movie Review Classification:
t distinguished between positive and negative movie reviews. It was based on Naïve Bayes and used IMDB Large
Movie Review Dataset.
Mining of Patterns in US Flights Dataset:
We applied different data mining techniques along with data cleaning techniques to find and visualize different
patterns of the dataset.
Metro Data Warehouse:
It used hybrid join to transform data into multidimensional form. Hybrid join was more fast than traditional joins.
Skills & Tools
Professional Skills: Interpersonal Skills, Communication.
Technical Skills:
Python, C++, Tensor Flow, Pandas, SQL, Sci-kit Learn, ETL, HTML, Flutter
Achievements
Scored highest marks in Course Recommendation System.
Scored highest marks in Mining of Patterns in US Flights Dataset.
Scored highest marks in Semantic Segmentation Using Deep Learning Techniques in High Resolution Remote Sensing
Images.
Activities
Conducted a seminar for graduating class on Leading a purpose driven life.
Interests
Cricket

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