Sharda Borse

Model Development - working on different use cases to control the fraud in Paytm. It involves CRISP-DM framework from finding business problem, finalizing data sources, understanding data, EDA of available data, Building model, finalizing results, deployment. ML Model Deployment - Working on end to end deployment of multiple Deep learning and Machine learning model using aws sagemaker. Usecases worked on: ATO( account take over) (Supervised model-xgboost, unsupervised- Isolation forest), Customer Trust score (Data crunching + Linear Regression), NBTO( Netbanking takeover, deep learning model).

Working in RnD data science team. RIO is an AI-based trading assistant for ad tech industry. working on strategy to target audience to enhance the campaign performance. Worked advanced geo targeting, bid enhancement which had direct impact on revenue and CTR ML-based Prediction Framework for the ad-tech domain which predicts contextual combinations to optimise campaigns performance. This product featured in top 10 Data Science products in India by Analytics India magazine.

Worked on in-memory database.

Dump sensor data in influxdb with better throughput, visualize it in grafana, Process the data and find the anomalies.

Worked functionality of the cloud based service providers like aws, box, google etc. understand the underlying architecture of product. Automated shareinsights functionality and worked on Yaml to implement shareinsights features & database queries. Design process workflow for User Admin Module for Appian framework project.

Bangalore, India

Maharashtra, India

Maharashtra, India