Venkata Kaushal Paritala

Data Scientist familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical and other analytical techniques. Highly organized, motivated, and diligent with significant background in machine learning, predictive modeling, data visualization, and time series forecasting. Proficient in Python, SQL, and tools like Tableau, with experience in creating dynamic dashboards, building regression models, and conducting exploratory data analysis (EDA).

Having worked in the IT field for more than 6 years and 9 months, my area of expertise is Python programming. I use libraries like Pandas, NumPy, and Scikit-Learn to do complex data manipulation and run cutting-edge machine learning algorithms. I have experience with time-series forecasting, predictive modelling, unsupervised and supervised learning, data cleaning, and exploratory data analysis (EDA). With expertise in MySQL and other database systems, I am a master at crafting effective SQL queries to handle intricate data. I am skilled in data warehousing and ETL techniques. I also know how to use Tableau to create interactive dashboards and visually striking data visualizations. In addition, I have experience with batch integrations for bulk data transfer and have built and deployed RAML-based APIs utilizing MuleSoft Anypoint Platform. My expertise includes using the Enterprise Service Bus and Messaging Queues, two of the Anypoint Platform's components. possess a thorough understanding of the Software Development Life Cycle (SDLC), including requirement analysis, design, development, and testing, as well as the Scrum Agile methodology.