Data Analytics

Description

• Projects:
• Provided analytical solutions for Business Operations team, and Pharma Clients. Thought leadership and end-to-end development & deployment of major components.
• [1] Named Entity Recognition (***, adverse event, medical history, laboratory test, etc.)
• [2] Information Extraction from unstructured narrative text
• [3] Adverse event classification;
• [4] Severity classification of adverse *** reaction
• [6] Automated Process Discovery Tool using bupaR;
• [7] CI/CD pipeline leveraging MlFlow, Amazon EC2, Amazon S3, etc. and Docker based deployment.
• Skillset: NLP, Medical NER, Text Classification, Data visualization with R/Python, Process Mining basics, Python, SpaCy, sciSpaCy, Pandas, Mlflow, R-Shiny, Shiny.Fluent, Git, Docker
• Developed Python (Flask/Django) based reusable analytical assets.
• [1] Causality assessment and Assisted medical review tool (POC)
• [2] Knowledge management on client SOPs (POC)
• [3] SimStat - a plagiarism detection tool detecting similarity between a pair of SAS codes with syntax highlighter
• [4] Medical coding of adverse events with proximity & synonym search functionality
• [5] Data profiling, Data preparation & analysis to aid ML model building;
• [6] Text classification POC leveraging Amazon SageMaker.
• Skillset: Keywords: ML, NLP, Knowledge Management, TF-IDF, Cosine similarity, Proximity match, Python, Django, Flask, REST API, Unix OS & Shell scripting, AWS, SageMaker.
• Developed R/Shiny based analytical solutions for Life Sciences delivery team and pharmaceutical clients.
• [1] Narrative Auto Quality Check tool for a French multinational pharmaceutical company
• [2] Quality review & Data validation with interactive dashboard
• Skillset: NLP, Text Analytics, Text Pre-processing, POS Tagging, Stemming/Lemmatization, Regular Expression, R programming, R-Shiny, Python
• Reasons you should hire:
• I'm a Data Science professional working as Associate Data Scientist with apt knowledge of Machine Learning, Data Science, and Natural Language Processing with professional coding expertise.
• I have worked on many real-life scenario-based projects and played a lead developer role with proper project planning.
• I'm very much aware of client focus & client satisfaction. Planned to involve me in freelancing activities to solve challenging problems and excel as a Data Scientist.
• Quality of work & trust assured