Bhavya Doshi

Executed advanced statistical analysis and data pretreatment using Python, ensuring rigorous data validation and structural integrity. Engineered SQL queries to extract and manipulate high dimensional datasets within relational databases, improving query execution time by 20%. Designed dynamic dashboards in Power BI to communicate complex research findings with academic stakeholders. Contributed data preprocessing and visualization for the Springer publication 'Geometrical and regression-based modelling…'

Orchestrated Salesforce automation workflows to streamline B2B and B2C collaboration, reducing manual data latency by approximately 30% and enhancing overall process optimisation. Developed advanced Power BI dashboards to visualise campaign performance, providing actionable insights that directly supported strategic decision making and operational efficiency gains.

Development of an Optimization Algorithm for Automated Tape Laying of Composite Laminates Developed a Python based optimization workflow for the Automated Tape Laying of thermoplastic composite laminates, integrating geometry and meshing. Implemented a CLT based screening algorithm to rank stacking sequences under specific load cases, validating results using ANSYS application via PyMAPDL to ensure structural viability.

Architected and deployed Python and PostgreSQL migration scripts for Odoo ERP upgrades, achieving around 40% reduction in customer queries downtime during their system migration. Optimised core code modules for Odoo Community and Enterprise editions, enhancing system functionality and query performance by 25%. Engineered responsive front end user interfaces using JavaScript to significantly improve User Experience in high traffic modules.

Optimizing and Deployment of Deep Learning Model for the Prediction of a Future Sequence of Data Deployed a Deep Learning model to forecast Plasma Disruptions, managing large scale experimental CSV datasets and automating data cleaning pipelines for enhanced prediction accuracy. Utilizing High Performance Computing clusters to optimise computational workflows and rigorously tested the system across diverse platforms to resolve environment specific latency.