Mayank Abhay Gharpure Email & Phone Number

As a dedicated Data Analyst with over three years of experience at MailOnline, I specialize in transforming data into actionable insights that drive business decisions. My expertise lies in developing robust data pipelines, extracting and integrating data from various APIs, and ensuring data consistency across multiple platforms.Key areas of my work include:Data Pipeline Development: Skilled in designing and maintaining efficient data pipelines to streamline data flow and ensure timely availability of accurate data for analysis.Dashboard Creation: Proficient in building interactive and insightful dashboards in Tableau, tailored to meet the specific needs of diverse teams such as sales, finance, and programmatic.Machine Learning Models: Experienced in creating and deploying machine learning models for forecasting commercial data metrics, enabling predictive analytics and strategic planning.Time Series Analysis: Expertise in developing and applying time series models to forecast trends, seasonality, and business metrics, ensuring data-driven decision-making.Cross-Functional Communication: Adept at collaborating with cross-functional teams, including sales, finance, and programmatic, to understand their data needs and deliver customized dashboards and reports.Data Clustering: Expertise in creating data clusters to analyze ad category spending, providing valuable insights into advertising strategies and budget allocation.Throughout my tenure at MailOnline, I have consistently demonstrated a keen eye for detail, a deep understanding of data analytics, and a commitment to delivering high-quality results. I am passionate about leveraging data to uncover trends, optimize performance, and support the strategic goals of the organization.I am always eager to connect with fellow professionals and explore opportunities to contribute my skills and experience to new and exciting projects. Feel free to reach out to discuss data analytics, machine learning, time series analysis, or any potential collaborations.

Listed skills include Information Technology, Cloudera, Amazon Web Services, Data Science, and 28 others.