Anmol Sharma

- Responsible for building, optimizing and maintaining large end-to-end data pipelines. - Technologies used : Python, Spark, Kafka, Apache Airflow, Docker, MySQL, Databricks

- Built ETL pipelines to transfer/transform data to OLAP warehouses for analytics/Dashboards. - Developed computer vision models to detect fake invoice images. - Created intelligent queue management product to reduce wait times and enhance experience at service locations. - Designed algorithms for tech service requests, optimizing skill match, engineer throughput, and travel time; used by clients like Google and Croma. - Technologies used : Python, Django, Kafka, Tensorflow, Postgresql, MongoDB, Docker

- Developed ML models (ensemble/deep learning) to predict order return likelihood and take actions, reducing retailer costs. - Created shopper bots using non-deterministic probabilistic models to simulate real users for e-commerce data generation. - Built automation tools for data wrangling/analysis (charts, outliers) supporting SQL, CSV/JSON, Kafka; accelerated EDA at SupplyAI. - Technologies used : Python, Tensorflow, Postgreql, Docker