Sushma Navada

Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets. Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations. Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. On as-needed basis, collected data from databases and created reports for a top cancer pharmaceutical client, aiding strategic business decisions. Conducted Deep dive EDA on call handling time for a cosmetic healthcare client, presenting helpful insights and dashboard wireframes.

Detection of pests and diseases using CNN model constructed from scratch. Applied data augmentation technique to rice and tomato crops. Created AWS EC2 instance for image storage and feeding to CNN model. Performed image processing for detecting farm boundaries using algorithms like Canny, Sobel, Pewit, and morphological, creating an ensemble model with the Watershed algorithm. Developed CV/Resume classification/sorting using NLP. Performed sentiment analysis of competitor's company. Aided an insurance company in locating legitimate claims. Built a conversion model for translating names from Marathi to English. Estimated crop loss due to water inundation and crop yield using regression model. Performed crop classification using SVM and Random Forest (RF). Estimated motor insurance risk and frequency using Linear Regression. Built Quake and Cyclone models for damage estimation. Managed multiple UK client interactions and projects. Provided comprehensive analysis and recommended solutions to address complex business problems using advanced analytical methods.

Provided reporting, analysis and insights about sales drivers and key revenue performance metrics to support corporate analytics. Conducted business stakeholder interviews to ascertain problems and document and create business requirements. Developed complex dashboard to track business performance metrics.

Conducted research, gathered information from multiple sources and presented results. Performed customer profiling based on clusters of properties such as time spent, cities, number of page visits, successful purchase, and market campaign effect. Created a cohort analysis chart to measure customer retention. Collected repeat customers details and analyzed user and channel level metrics.

Detailed knowledge and experience of Requirement Analysis, designing, development, testing and implementation of Software solutions as a Mainframe Developer. Successfully managed complex projects with successful implementation and rapidly evolving requirements. Acted as liaison between client and development team for Requirements and QA. Thorough understanding of Software Development Life Cycle (SDLC), involved in various phases like Requirements, Analysis/Design, Development and Testing.