Data Scientist Researcher with experience in AI-driven cognitive behavioral therapy systems, data analysis, technical operations, and research. Skilled in Python, scikit-learn, NumPy, pandas, TensorFlow, NLP, NLU, SQL, A…
Data Scientist Researcher with experience in AI-driven cognitive behavioral therapy systems, data analysis, technical operations, and research. Skilled in Python, scikit-learn, NumPy, pandas, TensorFlow, NLP, NLU, SQL, AWS, Hadoop, R, C++, HTML, CSS, PHP, JavaScript, MySQL, Git, Excel, Gurobi, Arduino, Bluetooth, Raspberry Pi, and CoAP.
• Modeling an AI-driven cognitive behavioral therapy system using Python (scikit-learn, NumPy, pandas, TensorFlow), deep learning (NLP, NLU), a Persona Perception bot, and SQL, partially computed in AWS.
• Achieved State-of-the-Art Accuracy by implementing a 1.5B parameter transformer model stored in Hadoop, outperforming 7 language modeling datasets and garnering positive human evaluations.
• Evaluated system on PERSONA-CHAT, surpassing state-of-the-art baselines with 82.2% accuracy on Hits@1(%) in original data and 68.8% on revised data, visualized using R.
• Collaborated seamlessly with colleagues to co-author and publish three impactful journal papers.
Modeled an AI-driven cognitive behavioral therapy system using Python, scikit-learn, NumPy, pandas, TensorFlow, deep learning, NLP, NLU, a Persona Perception bot, SQL, and AWS.
Achieved state-of-the-art accuracy by implementing a 1.5B parameter transformer model stored in Hadoop.
Outperformed 7 language modeling datasets and garnered positive human evaluations.
Evaluated the system on PERSONA-CHAT, surpassing state-of-the-art baselines with 82.2% accuracy on Hits@1(%) in original data and 68.8% on revised data.
Visualized results using R.
Co-authored and published three journal papers with colleagues.
Assessed and resolved technical issues for over 300 customers across 80 countries with individually customized Quintiq applications.
Achieved a 95% customer satisfaction rate while meeting Service Level Agreements (SLAs).
Streamlined and automated the timesheet recording process.
Reduced manual errors by 90%.
Saved an average of 10 hours per week for the team.
Operated Root Cause Analysis (RCA) investigations for emergency hot fixes.
Reduced system downtime by 30%.
Improved system stability.
Resolved integration issues between middleware technologies and customized applications including SAP, PTV, and BIRT.
Managed incidents related to VMs and databases including Oracle and SQL Server.
Engineered ShifaBand integrating multiple sensors, a DIY Arduino microcontroller, Bluetooth, and an Android app.
Conducted A/B testing.
Implemented a cost-effective solution that was 50% more affordable than comparable alternatives.
Headed a five-member team to propose, design, and implement the ShifaBand project.
The project was recognized as the best project.
Implemented a Cost Minimization Technique in Geo-Distributed Cloud Computing Data Centers using Python and Gurobi academic solver.
Improved cost optimization efficiency by up to 20%.
Applied ETL techniques and oversaw the data science pipeline.
Performed cleansing, wrangling, visualization, modeling, and interpretation.
Published two research papers.
Champion in Aturkreatif Open Programming Competition @ USIM 2016.
1st Runner-Up at 2016 ACM-ICPC Malaysia Al-Khawarizmi National Programming Contest.
4th place at 2014 ACM-ICPC Malaysia Al-Khawarizmi National Programming Contest.
Asia Regional Singapore site 2015 - Honorable Mention.
Kuala Lumpur site 2014.
Achieved 97% accuracy in developing a real-time weather website.
Integrated Waspmote kit and Raspberry Pi using CoAP protocol.
Utilized APIs, Excel, and Git for improved data reliability.
Led to a research paper publication.
Implemented an HMM engine utilizing the EM Statistics algorithm.
Incorporated a Two-component GMM model that improved accuracy in power disaggregation using C++ and big data analysis.
Developed a website using HTML, CSS, PHP, JavaScript, and MySQL.
Presented the three steps of the power disaggregation algorithm to administrators.
Enhanced data visualization and user interaction.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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