Viswalahiri Hejeebu

Software Engineer

Agilitix.ai•  July 2019 - August 2021

Implemented and Optimized M.L. models for Forecasting with Time Series data. Tuned existing forecasting algorithms to account for auto multi-seasonality through Fourier Orders Created internal POC of scaling Python-based service with Docker and K8s. Crafted kSQLdb based real-time ingestion pipeline from data source Kafka Topics, aimed to perform real-time Kafka Visualization. Connected with Apache Druid and Superset deployed in a Docker application. Set up real time monitoring & alerting systems using Grafana and Prometheus. Customized dashboards for time-series forecasting using visualizations, endpoints, user management, and plugins.

Junior Software Engineer

Exponentia DataLabs•  January 2018 - July 2019

An insightful tenure at a growing startup gave me a chance to hone my data science and machine learning skills to contribute to the organization. Assisted in creation of Alexa Skill 'QlikSense' that generates appropriate insights and interacts with user to provide business insights. Implemented suggestion generating ML model through unsupervised MBA. Improved efficiency of training suggestion model through pickling & sharded batch training. Responsible for feature that automatically generates business insights for Qlik client data. Performed Data Analysis, Storytelling and Visualization using Python and R and extracted business insights.