Naveenkumar Kuruvinshetti

Utilised analytical, statistical and programming skills to collect, analyse and interpret around 50+ large datasets. Involved in prescriptive and predictive modelling using data analytics/ML techniques : Regression models, SVM, Random forest, XGBoost,DL, Neural Networks, kNN, RNN, PCA, etc. Worked with stakeholders throughout the organisation to identify opportunities for leveraging data. Engaging with stakeholders to understand data requirements & business objectives to deliver end to end projects. Understanding of life cycle of end-to-end data science project and actively involved in all the phase of project life cycle including data ingestion, data pre-processing, features engineering, model building, model training, testing & validation. Collection of data from various sources and performing pre-processing steps and then applying suitable models to arrive at conclusions.

Rolls-Royce project. Cleaned and prepared data from client using Python and Power BI to help data scientist build models that resulted in a lift in ROI. Created workbook, gathered customer requirement and design dashboards accordingly and KPIs for data visualization. Created data visualization using maps, charts, graphs as per customer need using Power BI. Working knowledge of Python and it's libraries like Pandas, Scikit, NumPy, SciPy, Matplotlib, plotly and Seaborn.