Divya Mugthihalli Devaprasad

• Goal - Estimate the risk of pre-sense events at any given location in Germany • Translated the business problem into analytical use case • Performed Exploratory analysis and used various techniques to prepare the data for Machine Learning model training. • Developed classification model and density estimation model to predict the severity of pre-sense events and to estimate the risk • Libraries and tools used: Pyspark, sklearn, numpy, matplotlib, seaborn, pandas, plotly, Zeppelin notebooks, dataiku, git.

• Learnt to handle both high speed streaming and batch data and also worked with state-of-the-art technologies to analyse, visualize and apply sophisticated machine learning techniques to it within a notebook environment in Python and Scala. • Conceptualization and implementation of solution architecture of end-to-end data driven services. • Rapid prototyping of Machine Learning technologies and its adoption to solve business problems using geospatial vehicle sensor data.

• Delivered lectures on topics such as Data Structures, Data Mining, Automata Theory and programming languages like C and Python. • Conducted Lab course for students on UNIX and Python Programming. • Conveyed subject matter and lecture to students in a creative way

• Handled Asset Management projects in B2B integration team • Designed BI solutions using Microsoft SQL server. • Responsible for conducting ETL from Data warehouse to OLAP servers. • Performed Data Cleaning and Transforming of Asset Data.

• Responsible for conducting Business to the Business process by integrating and understanding the process chains of building projects from planning to delivery and maintenance phase. • Active participation in an Agile software development team which involved developing projects through SCRUM methodology.