About

Laeeq Siddique is an experienced Chief Data Scientist at Innoplexus, with a strong academic background in Data Engineering, Statistics, Computational Mathematics, Machine Learning, Bioinformatics, Systems and Integrated Biology. He has over 10 years of industry experience in organizing, analyzing, and monetizing information assets. Laeeq has a particular interest in genomics, proteomics technologies, and data analysis methodologies. Laeeq is responsible for building and maintaining taxonomies and ontologies, internal metadata models, and classification schemas for content enrichment. He has worked on data procurement, hypothesis generation, hypothesis scoring, classification systems, ontologies, controlled vocabularies, taxonomies, and search engines, helping improve the findability and usability of information in life science & healthcare, banking, retail, and high-tech space. Laeeq has a particular expertise in Machine Learning, Data mining, Cognitive Computing, Natural Language Processing, Image/Video Processing, Taxonomies, Ontologies, Controlled Vocabularies, Semantic Text mining, media monitoring, Thesaurus, Metadata, and content classification and content tagging. He also has experience in Vector Space and Graphical data mining, Graph and Sequence data mining, Signal Processing, Genomics and Molecular Diagnostics, Drug Discovery and Drug Design using machine learning techniques, and statistical analysis tools like R, Matlab, and Python. Currently, Laeeq is working at Innoplexus, where he has thorough knowledge and very good experience of building semantic knowledge for the hierarchy of medical concepts like disease, drugs, Mechanism of Action, Adverse effect, Adverse reaction, risk, differential diagnosis, as well as ICD, CPT codes. He has a very good understanding of biomedical ontology, concept mapping, and thorough knowledge about UMLS, MeSH, SNOMED CT, ICD 10, RxNorm, Gene Ontology, OMIM, HGNC, NCI Metathesaurus, MeDRA, and LOINC and cross-mapping. Laeeq has also worked at Barclays as an Assistant Vice President-Data Science and at Saama Technologies as a Lead Data Scientist. He has extensive hands-on experience with data mining tools, statistical package, demand forecasting and inventory optimization, Fraud detection, and marketing campaign optimization. Laeeq has a degree in Advanced Post Graduate Diploma in Bioinformatics from Jawaharlal Nehru Vishvavidyalaya and a degree in BE(Electronics & Communication) from Jamia