Prashant

PROJECTS Data Lake Foundation and Forecasting. Client – PostNord, Sweden

 Developed and optimised Azure Data Factory pipelines to load data from onpremise and cloud source systems. Implemented batch processing via Full load and Incremental load.

 Loaded streaming data from Kafka topics to Data Lake via Azure Databricks using PySpark and Python, into various staging layers.

 Enabled various forecasting and prediction models. Enabled various Power BI reports and Dashboards by transforming the data.  SQL performance tuning in SQL Server Management Studio for low latency and high throughput. Data Ingestion Framework. Client – QBE Insurance, North America

 Integrated and transformed data in different file formats like json, csv, avro, parquet etc using Databricks, Data Factory and PySpark.

 Data Ingestion from on-premise and cloud data sources, and facilitate data governance and streamlining operations of Azure Data Engineering resources. Modern Warehousing and Analytics. Client – Select Equity Group, United States of America  Data Mapping of business systems data in Azure cloud environment to support the needs and objectives of the organizational units and vendors.

 Worked with Offshore Delivery team and Organization's leadership to drive Digital Transformations initiatives with Cloud Computing, Data Engineering and Analytics. Predictor System | Recommender System| Classifier Model – Personal Projects

 Performed Data Cleansing, Exploratory Data Analysis, Text Pre-processing, Model Building, Model Evaluation, Model Improvement and Website Deployment.

 Car Price Predictor | Cricket Win Probability Predictor | Email/SMS Spam Classifier | Book Recommender System | Movie Recommender System