Vinay Kumar Email & Phone Number

Gandhidham, Gj, In

United States

Mountain View, California, United States

In my role at Quotient, I am tasked with leveraging machine learning techniques to transform raw data into actionable insights. My primary focus involves accurately predicting product demand, which necessitates a comprehensive understanding of multi-class classification. To accomplish this, I utilize Natural Language Processing methodologies to analyze sentiment and distill complex texts into concise summaries. Collaboration with data engineers and operations teams is crucial to optimize ETL processes, and I use Python modules to implement machine learning algorithms and explore data with the aid of Power BI. When working with large data sets, Spark's RDDs and DataFrames allow for rapid data transformation. In addition to model building, I use Matplotlib to create interactive visualizations that effectively communicate data-driven narratives. To engineer end-to-end machine learning solutions and improve model performance, I utilize Spark's MLLib and various algorithms such as logistic regression and multivariate regression. Continuous learning and improvement are integral components of my approach, and I frequently employ Pandas, NumPy, Seaborn, and Scikit-learn for data manipulation and analysis.

Vernon Hills, Illinois, United States

Throughout my tenure at Abbvie, I had the opportunity to adeptly handle various data-related duties with exceptional accuracy. These duties encompassed collecting and sorting data, obtaining ethical approval, and collaborating on medical equipment data. I also designed and developed a highly efficient data model diagram that seamlessly integrated different sources by leveraging Azure data factory.I expertly utilized logistic regression, Naïve Bayes, and neural networks to guide predictions, ensuring that they were both precise and unbiased.Furthermore, I employed a range of statistical techniques, including PCA and dropout, to reduce dimensionality and uncover the essence of data. I skillfully navigated data cleaning and manipulation using tools such as Pandas, NumPy, and Excel macros.Finally, I confidently deployed my models to the grandeur of Azure Kubernetes Service (AKS). The deployment process was carefully orchestrated, complete with monitoring solutions to track real-time performance. My code and visualizations served as the notes that composed the symphony of knowledge sharing within the team.

Hyderabad, Telangana, India

At Micron, I was in charge of data science, which included tasks ranging from data mining to presenting results in a visually appealing manner. In order to make complex data analysis comprehensible for non-technical stakeholders, I utilized AWS QuickSight. To gain insightful information, I utilized various machine learning algorithms such as Pandas, NumPy, Seaborn, SciPy, Matplotlib, and Scikit-learn.Moreover, I created chatbots with the use of api.ai to enhance customer engagement, and explored the world of machine learning for clustering and pattern recognition by utilizing Spark, Scala, Hadoop, HBase, and Kafka. For gathering and processing large-scale data, I turned to AWS services such as Amazon S3, Glue, and Athena.

Mumbai, Maharashtra, India

At Amway Corp, I transformed business requirements into functional specifications. I used SQL queries to combine data sources and worked with Oracle and Workflow Tools to enhance business processes. I also explored AWS services like AmazonS3, Glue, and Athena for data gathering and preprocessing. My responsibilities included metadata repository maintenance and documentation, as well as Teradata to MS SQL Servermigration. I used data visualization tools likeSQL and Tableauto orchestrate my work on the AWS cloud.