Data Science Professional with experience of delivering data driven solutions on enterprise scale in financial industry with high analytical and technical capabilities. Well versed in Python Programming, Machine Learning, Web Development, Power BI, SQL, HIVE, Impala, Hadoop, Spark with a passion of proactive problem solving.
Apart from the technical skills, my business acumen has also strongly developed through stakeholder / vendor engagements.
Currently Enabling HBL as a Data Driven Bank. Contributed in end to end delivery of multiple use cases.
Working in the decision sciences team of advanced analytics unit, some of my responsibilities are:
- Involved in all phases of data science life-cycle from requirements understanding with business to development and deployment of use cases.
- Research on machine learning techniques, data exploration, ETL, feature engineering, model building & deploying use-cases on Data Lake.
Few of my deliverables are:
- Designed & Implemented a Machine Learning System that predicts customer's deposit churn. (Python, PySpark, Impala, R)
- Worked closely with Business Domain Experts and visualization artists to develop Customer Segmentation use case. (Python, PySpark, Hive, PowerBI, SSIS, SSAS)
- Extensively worked with Python, Power BI, SQL, HIVE, Impala, Hadoop, Spark, YARN.
- Assisted managers with adhoc reporting requests, tools implementation & evaluation (Informatica, SAS).
- Build end to end web based Quick Assessment tool for Low Cost Housing Finance. (Python, Flask, Bootstrap)
- Worked closely with data engineers to improve Power BI dashboards efficiency, developed OLAP Cubes with SSAS.
- My some other deliverables includes: Process Prioritization, Resource Optimization, Fund Flow Analysis.