Resume
Experience
Jun 2021 - June 2023
Associate Data Consultant - Banking
Oracle Financial Services Software
Mumbai, India
-
Developed an 81% precision Random Forest predictive model utilizing SQL and Python to identify high-risk customers from 4.8M loan records in collaboration with the Data Science team, saving $55M annually through targeted risk strategies
-
Streamlined data analysis by designing interactive data visualizations in Kibana to monitor 5+ KPIs, eliminating manual SQL queries, and saving 2 hours weekly for 12 consultants
-
Optimized Oracle Database SQL queries through query tuning and caching techniques, reducing payment report generation time by 15% and saving 1.5 hours weekly
-
Implemented a real-time payment monitoring system using ELK stack (Elasticsearch, Logstash, Kibana) and Apache Kafka to transform unstructured logs into actionable insights, resulting in 20% faster failure resolution for the client bank
-
Designed and built a batch ETL pipeline and a star schema data model with the Data Engineering team, integrating loan data from 3 sources into Oracle Data Warehouse using SQL and ODI, boosting data retrieval for business intelligence by 45%
-
Enhanced payment processing by converting accounting algorithm into optimized PL/SQL procedure, cutting accounting time by 4%
-
Improved payment application response time by 36% by developing Java RESTful payment microservice, utilizing Agile development
Education
2023 - 2024 (June)
University of Washington
Master of Science in Business Analytics
Seattle, WA
During my tenure at UW Seattle, I not only solidified my understanding of core business subjects but also honed the art of harnessing data and analytics to tackle real-world business challenges. This transformative experience not only broadened my theoretical knowledge but also instilled a practical and strategic approach to applying data-driven solutions. Through coursework, collaborative projects with companies, and exposure to industry insights, I cultivated a mindset that goes beyond theoretical concepts to address the real-world implications and applications of data analytics in the business landscape.
2017 - 2021
Mumbai University
Bachelor of Technology in Computer Engineering
Mumbai, MH, India
At Mumbai University, I built a strong foundation in Computer Engineering, covering key areas like Programming, Databases, Machine Learning & AI, and Big Data. The coursework not only provided theoretical knowledge but also hands-on experience, shaping my understanding and readiness for real-world applications. This academic journey laid the groundwork for my subsequent professional pursuits.
Professional Skillset
Data Engineering
Databrics
AWS (S3, EC2, Glue, EMR, Lambda)
Apache Spark
Apache Airflow
Kafka
Docker
Snowflake
Linux
ElasticSearch
Data Analytics
SQL
R
Python (Numpy, Pandas, Matplotlib, Sklearn)
Tableau
MS Excel
Grafana
Correlation Analysis
Regression Analysis
Decision Trees
Database & DataWarehouses
MySQL
Amazon RDS
PostgreSQL
Redshift
Oracle PL/SQL
MongoDB