Results-driven Senior Data Scientist with 11+ years of experience in driving AI strategy, managing teams, and performing hands-on data analysis and modeling. Skilled in data mining, statistical analysis, machine learning…
Results-driven Senior Data Scientist with 11+ years of experience in driving AI strategy, managing teams, and performing hands-on data analysis and modeling. Skilled in data mining, statistical analysis, machine learning, deep learning, computer vision, time series forecasting, and natural language processing. Delivered superior business value propositions in Telecom, Ports, Public Safety, Security, Retail, and Financial Service domains. Designed and delivered more than 5 end-to-end data-driven solutions for Public Sector clients such as Abu Dhabi Ports, Abu Dhabi Police, and the Ministry of Interior in the Middle East.
Manage data-driven projects and lead a team of data scientists.
Implement predictive models for estimating client book of various investment products, and forecast the client book for improving campaign targeting.
Analyze customer complaints data to identify trends and improve operational efficiency.
Help the operations team resolve similar complaints by understanding the root cause.
Increase the team’s efficiency by 30%.
Enhance propensity models by analyzing the effects of campaigns on customers.
Reduce unnecessary calls/mails to customers and improve lead conversion rates.
Reduce attrition by 5.5%.
Increase leads conversion by 15%.
Predict Ombudsman complaints to proactively address issues and avoid regulatory fines.
Save 10-12 k pound every month from regulators fine.
Manage data-driven projects and lead a team of data scientists.
Implement predictive models for estimating client book of various investment products, and forecast the client book for improving campaign targeting.
Analyze customer complaints data to identify trends and improve operational efficiency. It helps the operations team to resolve similar complaints by understanding the root cause and increases the team’s efficiency by 30%.
Enhance propensity models by analyzing the effects of campaigns on customers. It focusses on reducing unnecessary calls/mails to customers and improve lead conversion rates. This has reduced the attrition by 5.5% and increased leads conversion by 15%.
Predict Ombudsman complaints to proactively address issues and avoid regulatory fines. It helps business to save 10-12 k pound every month from regulators fine.
Applied machine learning techniques to classification, clustering, and time series forecasting problems.
Classification and assignment of multilingual complaints raised through various channels.
Reduce the complaint resolution time by 30%.
Developed models to fake passport detection for the immigration department scanner using OpenCV, TensorFlow and Keras library.
Forecasted passenger arrivals for the immigration department to optimize resource allocation using SARIMA and Prophet models.
Motorbike accident detection on highways from the CCTV footage using OpenCV, TensorFlow and Keras library.
Reduce the police and ambulance action time by 60%.
Facial expressions detection from CCTV footage to enhance security measures by Transformer based models using TensorFlow and Keras.
Conducted statistical analysis and developed regression, classification, and clustering models.
Performed exploratory data analysis using analytical reasoning to gain information from datasets.
Prepared complex data models for data science related projects.
Developed regression, classification, and clustering models using supervised and unsupervised machine learning.
Processed unstructured data for computer vision models.
Visualized data insights and created business presentations.
Applied state-of-the-art research methodologies for the problem at hand.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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