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Member since August 14, 2011
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I am a senior Machine Learning scientist with demonstrated experience of more than 10 years across the globe. I have done MSc (Software Engineering) and PhD (Machine Learning) from University of Southampton, UK in 2008 and 2012 respectively. I am a Member of BCS, The Chartered Institute for IT, UK. Specialties: ----------------- • Data Mining and Machine Learning: Recommender Systems, Collaborative Filtering, Information Retrieval, Kernel based learning, Classification techniques, Dimensionality reduction techniques for handling large scale data, Clustering • Artificial Intelligence: Software agents, coalition formation in agents, multi-agent systems, search engines, • Forecasting, Personalization, Prediction, Decision Support Systems, Stock market prediction, Quantitative Analysis, Hedge fund Scientific Publications: ------------------------------------ Total Publications ~ 40, Total citations ~ 500 [login to view URL]
$55 USD/hr
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Jan 2019

[login to view URL] SL (a London based IT firm), synergizing the 4th industrial revolution, provide innovative, intelligent, and smart application development and deployment according to your business needs. We specialize in Machine/Deep Learning models, Artificial Intelligence, Natural language Processing, and Big data

Associate Professor

Oct 2018

• Delivering lecturers related to Data Mining, Data Bases, Big Data, Artificial Intelligence, and Machine Learning • Supervising final year projects • Writing business proposals to secure funding in research & consultancy

Machine Learning Developer

Jun 2012 - Aug 2018 (6 years)

• Predictive modeling • Data analysis • Natural language processing • Implementing and refining machine-learning algorithms at live system of Brandwatch ([login to view URL]) (improved performance by 10%) • Developing software (full software development life cycle) using agile software development • Research on business strategies based on new



2008 - 2012 (4 years)

MSc Software Engineering

2007 - 2008 (1 year)


Scrum (2018)


Scalable and Practical One-Pass Clustering Algorithms for Recommender System

Social media signal detection using Tweets Volume, Hashtag, and Sentiment Analysis

Optimized Gabor Feature Extraction for Mass Classification Using Cuckoo Search for Big Data E-Health

A Performance Comparison of Machine Learning Classification Approaches for Robust Activity

Scalable and Practical One-Pass Clustering Algorithms for Recommender System

Building accurate and practical recommender system algorithms using machine learning and CF

Scalable and practical One-Pass clustering algorithm for recommender system

Recognition framework for inferring activities of daily living based on pattern mining

Novel centroid selection approaches for KMeans-clustering based recommender systems

Experimenting switching hybrid recommender systems

Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems


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