Hasham Ul Haq

Hasham Ul Haq E-mail:-Work experience Phone:- MTBC Rawalpindi, Pakistan Jr. Data Scientist June 2017 – Present • Improved the data entry and billing process by automating classification of image documents using CNN. • Processed unstructured laboratory result data, performed NLP and created a reporting tool showing historic trends of laboratory results. • Integrated Artificial Intelligence in the EHR to automate the work flow of doctors: o Built the backend of a symptoms checker app (like Babylon) that asks questions from users and predicts exact disease and diagnosis (ICD 10) codes. o Built an intelligent model using NDCG trees to predict medication according to the diagnosis codes, using data from First Databank. o Used Neural Networks to predict relevant procedure codes from the diagnosis codes and achieved > 90% accuracy. Quest Islamabad, Pakistan Java Developer Intern June 16 – August 16 • Developed Eclipse plug-ins and automated the project development and testing cycle by continuous integration with Jenkins. ReVeal Islamabad, Pakistan Machine Learning Researcher June 15 – August 15 • Completed AndrewNg’s machine learning course and participated in Kaggle competitions. Research Work & Publications Wrote a research paper on the work done to predict Procedure codes from diagnosis codes which was submitted and accepted in NIPS ML4H 2017 (https://arxiv.org/abs/-) Skills & Tools • Machine Learning & Data Analytics [Python, Tensorflow] • Android Application Development • Proficient Languages: Python, Java, Go, C++, Android, SQL, UML. • Tools: Eclipse, Android Studio, Docker, Jenkins, MATLAB, IBM RSA. • Database: ORACLE, SQLite, MYSQL, MSSQL Projects CHATBOT [PYTHON, TENSORFLOW] • Developed and trained a seq2seq LSTM network on twitter data that learns styles and patterns of different celebrities and can converse accordingly. CHURN PREDICTOR [PYTHON, JAVA, TENSORFLOW] • Used Deep &Wide Neural Networks to enable a wireless network provider identify customers which will leave their services in future, with dashboard for Business Intelligence. ACTIVITY DETECTOR [PYTHON] • Accurately Detect what activity the user is currently performing (Running, Walking, Sitting, etc) using data from sensors of user’s smart watch and smart phone. Education National University of Computer and Emerging Sciences, Islamabad Bachelor of Science (Computer Science) • Majors: Machine Learning, Data Science, Android, Distributed Systems. • CGPA: 3.63 Honors & Awards • Dean’s List (6 Nominations) - FAST Islamabad (2014 – 2017) • Bronze Medal in O-Level Examinations - Beaconhouse School System. (2011) • Merit Scholarship for A-Levels -Beaconhouse School System. (2011 – 2013) 2013 – 2017