Siddharth Jain

Build a machine learning model for an American supplier of analytical instruments Thermo Fisher Scientific that predicts a product's estimated delivery date to enhance operational efficiency. Developed actionable insights from datasets by identifying trends, correlations, and addressing missing values and outliers to ensure data quality. Selected and engineered features - order volume, geographic location, and product type helped in improving the model's accuracy in estimating delivery times. Employed machine learning algorithms, including Xgboost, to build a predictive model. Refined the model through cross-validation and hyperparameter tuning. Created visualizations and reports to communicate model predictions and accuracy to stakeholders.

Worked as a salesforce devops engineer for FORD that involved two development teams and multiple simultaneous software releases. Maintained pipelines for continuous integration and continuous deployment using Copado. Worked on DevOps pipelines using tools like Rally, Git, and CodeScan to automate the deployment process. Worked closely with Salesforce administrators and developers to troubleshoot and resolve deployment issues and ensure smooth releases. Worked closely with the QA team to set up testing and quality assurance processes within the salesforce org and fix the issues. Monitored Salesforce Org health using Health Scans and analyzed performance reports/org performance to keep up with the Salesforce standard and ensure org security.

Worked on developing a virtual makeup app for a B2B platform. Created AI models utilizing OpenCV, neural networks(BiSeNet and ResNet) segmentation model, and transfer learning to develop makeup components like Eyeliner, Lipstick, Foundation, blush, etc. for still images. Customized the makeup effects by creating different designs, and color textures and adjusting the position of the effect applied on the face. Collaborate with different teams for testing and deploying AI effects into GCP production Environments.