Siddhanth Janadri

1) Developed predictive models using Azure ML Studio and TensorFlow, reducing customer churn by 6% and improving the sales team’s efficiency with product-level recommendations 2) Automated deployment of Sales Growth Insights library to Azure DevOps artifacts to ensure easy integration with DataBricks 3) Performed EDA to understand the nature of the master data and evaluate predictions from different time series models, analyzing KPIs such as Net Promotor Score (NPS), and Customer Acquisition Costs (CAC)

1) Enhanced the platform’s strategic charging point planning capabilities through ML end-to-end solutions. 2) Played a pivotal role in establishing and maintaining CI/CD and ML pipelines. 3) Used models like MLP, LSTM, Gradient boosting, Random Forest, and oversampling technique (SMOTE) to perform location analysis. 4) Automated data scraping procedures using BeautifulSoap, enhancing data acquisition accuracy for analytical purposes. 5) Developed a Streamlit application for performance assessment

1. Developed machine learning-based resource allocation solutions for diverse server configurations. 2. Provisioned virtual machines on AWS and Azure using Infrastructure as Code tool Terraform and developed a centralized platform with Infracost to compare costs across cloud providers. 3. Built a web dashboard using Plotly and Dash to monitor real-time resource utilization and implemented an LSTM model for CPU, HDD, and RAM usage forecasting.

1. Reinforcement Learning is used to control traffic signals by Imitation for real-world use. 2. Imitation Learning (IL) based controllers are developed to outperform traditional control policies for adaptive traffic signal control. 3. Research on imitation learning techniques, including GAIL, to generate expert demonstrations and train the agents. 4. Evaluation of deep IL agents using traffic-specific metrics like vehicle and pedestrian wait times.

1. Developed and tested Logger functionality for Everest ERP software to ensure accurate record-keeping of user activities. 2. Conducted functional, regression, and backend testing of software features, ensuring high-quality deliverables and issue resolution. 3. Proficient in all phases of SDLC on Agile methodology. 4. Tools and Technologies: TypeScript, ReactJS, Jest, docker, Git, Linux, Kanban board, VS-Code

1. Conducted data analysis and utilized SQL/PostgreSQL to forecast demand and optimize pricing strategies. 2. Proficient in Google Sheets and Excel for efficient data analytics and reporting for EMEA and US-based clients. 3. Proactively optimized SQL queries to further increase the seamlessness of the application. 4. Resolved production conflicts, and proposed and implemented approved ideas to stakeholders.