An objective mind which drives the results using an informed decision-making process. The rationality of decision making is driven out of meaning full information management which is based upon how the data generated and stored over system of records is handled. With keen interest in mathematics and statistics, I have worked upon a varied and good number of projects and initiatives which were focused on identifying, defining, qualifying, and solving business / organizational problems and thereafter designing the functional of the proposed solutions.
Key areas where I have contributed to the data sciences projects have all been in space of descriptive, predictive, and prescriptive analysis. Among key projects were the forecasting of future trends / events using statistical models. This could come in with sensitivity analysis of the varying input parameters and often studying regression impact of these changes. Have worked on projects identifying the parts / services failures, propensity analysis, lead conversions, early identification of exceptions & outliers, defining the services / products attributes helping better launches or acceptability in the target markets. My research work leveraged the advanced areas of natural language models and associations framework in designing the solutions around digital quotient assessment framework which is termed as UCCCEEE framework. ©
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