Aneesh Das Email & Phone Number

Köln, De

Munich, De

Smart Building Occupancy and Energy Consumption Analysis- Reduced HVAC energy consumption by xxK kWh/year using occupancy-based schedules, saving $xM annually across Siemens buildings and optimizing housekeeping schedules.- Developed scalable data pipelines in PySpark on Databricks, integrating diverse data sources like energy consumption, occupancy, and environmentaldata.- Built time series forecasting models (SARIMAX,Prophet,XGBoost) for occupancy at building and floor levels.- Built domain models, grouped by building type and region, to forecast electricity consumption for hundreds of smart buildings using neural networks outperforming the previous per time-series implementation. It also overcame the cold start problem for new buildings.- Implemented anomaly detection models (Isolation Forest,Autoencoders) to identify peaks and changes in energy consumption.- Created a room occupancy classifier and presented insights through Streamlit dashboards, with models containerized in Docker and deployed via AWS Sagemaker.

Bangalore, Karnataka, In

- Developed data pipelines in Cloudera Hadoop and created Power BI dashboards for risk management, overseeing assets worth $xxB+.- Enhanced a loan default prediction model with XGBoost, improving loan disbursal efficiency by 10%.- Created a recommendation system for a retail client using collaborative filtering, which doubled conversion rates.- Automated Jira ticket classification with TF-IDF and XGBoost, significantly reducing manual assignment time.- Built an LSTM-based cloud resource monitoring tool, leading to$xxK+ in business within 6 months.

Master Of Technology - Mtech, Artificial Intelligence And Machine Learning

Micromasters, Statistics And Data Science

Bachelor Of Technology - Btech, Electronics And Communication Engineering