Data Science, Machine Learning, Deep Learning, Python, Linux, Google-Cloud-Platform, AWS, DevOps, SQL, Bash, Git, Jupyter Notebook, PyCharm, Java, Eclipse, Selenium
I worked on following project:
I lead/supervised following projects:
I worked on following projects:
Issuing Organization: Coursera
Issue Date: July 2020
Majors: Deep/Machine Learning, Advanced Data Science, and Data Mining
Thesis: Forecasting of Electricity Generation for Hydro Power Plants [LSTM, RandomForest]
Publication: https://doi.org/10.1109/HONET50430.2020.9322841
Majors: Deep/Machine Learning, Data Mining, Artificial Intelligence, Distributed Computing, and Software Testing
Final Year Project: XRay2Report [Deep/Machine Learning, TensorFlow, Android, OpenCV]
A clash removal schedule system for university by using AI algorithms.
An android application for recommending movies and anime to the user based on user-user and item-item based collaborative filtering.
Trained and predicted the person’s motion given the data with a log loss of 0.00012 on 5 million records.
A hybrid version of Skype and WhatsApp with text translation embedded in chatting, having features like audio/video calling.
Listed in Dean’s List of NUCES-FAST
and Honors List of NUST
INTRAFAST'17 Speed Programming Competition Winner
NaSCon’18 DataScience Competition Winner
Data Science, Machine Learning, Deep Learning, Python, Linux, Google-Cloud-Platform, AWS, DevOps, SQL, Bash, Git, Jupyter Notebook, PyCharm, Java, Eclipse, Selenium
I worked on following project:
I lead/supervised following projects:
I worked on following projects:
Issuing Organization: Coursera
Issue Date: July 2020
Majors: Deep/Machine Learning, Advanced Data Science, and Data Mining
Thesis: Forecasting of Electricity Generation for Hydro Power Plants [LSTM, RandomForest]
Publication: https://doi.org/10.1109/HONET50430.2020.9322841
Majors: Deep/Machine Learning, Data Mining, Artificial Intelligence, Distributed Computing, and Software Testing
Final Year Project: XRay2Report [Deep/Machine Learning, TensorFlow, Android, OpenCV]
A clash removal schedule system for university by using AI algorithms.
An android application for recommending movies and anime to the user based on user-user and item-item based collaborative filtering.
Trained and predicted the person’s motion given the data with a log loss of 0.00012 on 5 million records.
A hybrid version of Skype and WhatsApp with text translation embedded in chatting, having features like audio/video calling.
Listed in Dean’s List of NUCES-FAST
and Honors List of NUST
INTRAFAST'17 Speed Programming Competition Winner
NaSCon’18 DataScience Competition Winner