Data Scientist with expertise in Serviceability and Maintenance Log File Analysis, Medical Image Processing, Clinical Data Analysis, and Remote Machine Failure Analysis. Proficient in developing predictive models to anticipate machine component failure, leveraging advanced machine learning algorithms and statistical techniques. Experienced in processing and analyzing medical images for diagnostic purposes, as well as extracting insights from clinical datasets to support evidence-based decision-making. Skilled in remote machine failure analysis, utilizing data-driven approaches to identify and mitigate potential issues. Proven track record of delivering actionable insights and driving business outcomes through data-driven solutions

Engaged in Artificial Intelligence and Machine Learning Projects focused on enhancing language features across various languages through Natural Language Processing (NLP) and Machine Learning (ML) methodologies. Collaborated within agile teams to research, develop, and evaluate prototypes based on cutting-edge research, subsequently integrating them into product features. Spearheaded the development of innovative AI components and proofs-of-concept aimed at advancing language understanding and processing capabilities. Utilized a diverse range of technologies, including Python, ElasticSearch, GitLab, NLTK, spaCy, Scikit-learn, TensorFlow, and Google APIs, to drive project success and deliver tangible outcomes.

Identifying business problem statements and delineate client requirements.Handling large scale structured and unstructured dataData preparation - Extraction, cleaning, transformation.Data Modelling using R / Python. Applying different machine learning algorithms against the data and presenting the results to the users.Some of the works include Sales forecasting, customer segmentation, recommendation systems.

Responsible for creating technology innovative Proof of Concepts to demonstrate how new Big data solutions could be incorporated with IMS Health offerings. Responsible to meet the client’s needs, develop and deliver the POCs on the specified time line. Organised Innovation day to demonstrate the new POCs to the employees. In addition, created a Data Visualization POC, first of its kind in IMS Health, using CartoDB, which received a huge positive response among the clients.

Responsible for determining and focusing on client requirements which included meeting predetermined deadlines. Worked on a team of 20 collaborating on multiple projects simultaneously.Awarded ‘Employee of the Month’ twice within a 12 month period.