VINOD M.

• Collaborated with clients to identify critical business challenges and implemented data-driven solutions, utilizing advanced AI methods for automated problem-solving and increased operational efficiency. • Designed a machine learning model to predict disease onset based on sleep patterns and deliver personalized sleep recommendations through long-term data analysis. • Coded and designed a predictive model that predicts the amount of carbon release in the future from a manufacturing unit which helped in altering the company's net-zero strategy using detailed research on the UK energy market. • Led an advanced data analytics project exploring the impact of biomarkers on aging and intestinal health using machine learning and statistical techniques. A 35% improvement in strategic planning was made possible. • Used strong presentation and effective communication skills to explain complex analytical findings to stakeholders and non technical teams.

Spearheaded the development of end-to-end data pipelines to deliver results in dynamic and collaborative environments by productionising the solution with specific code design. • Engaged in the extracting, cleaning, manipulating, and preprocessing of large datasets from multiple sources to identify patterns and trends using Python programming. • • Managed a data science pipeline for forecasting and assessing customer behavior, resulting in a 30% boost in sales and facilitating efficient product development. • Derived actionable insights from complex datasets which contributed to meaningful improvements to the existing models through directed research work and business decision-making. • Partnered with functional teams to understand business needs, and delivered analytical reports tailored to targeted audiences.