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Resume

Work
Experience

Jan 2019 -

July 2021

Data Science Engineer - Advanced Analytics
Goldman Sachs - Bengaluru, India

  • Performed advanced analytics and Data science techniques on top of the Business Intelligence layer to generate business insights for operational efficiency

  • Achieved 70% reduction in Trade Fail rate by deploying ensemble and pattern mining ML algorithms that exposed the trade flow bottlenecks

  • Productionized unsupervised models that reduced manual intervention by 30% after identifying the manual touch point patterns in trade settlement workflow

  • Improved processing speed by 50% for scheduled ETL jobs by pipelining data through PySPARK refiners and leveraging OLAP models

  • Optimized the data engineering framework for multiple trade workflow systems by developing firmwide data source integration APIs

  • Automated the ETL jobs SDLC process by integrating with GitLab version control

  • Enhanced the code fail resolution mechanism for benchmark and threshold breaches by leveraging JIRA API in the control framework

  • Enabled Data-driven decision making by publicizing powerful Tableau dashboards

  • Partnered with 4 global teams to understand their business requirements and workflow process

July 2018 -

Sep 2018

Machine Learning and Big Data Researcher
VIT - Vellore, India

  • Analyzed in real-time the usage of underground water in a village using Machine Learning and Hadoop ecosystem

  • Deployed a system of sensors, and coded microcomputers to capture and transmit the real-time field data to the executor nodes

  • Monitored an average excess usage reduction of 200 gallons per family post prototype deployment

  • Leveraged regression models to predict the water resource availability based on the current consumption metrics

  • Automated the extraction, processing pipeline, and storage using PySPARK and HDFS

  • Productionized the Tableau dashboard layer to monitor the availability and usage of water resources

Education

Sep 2021 -

Aug 2023

University of Washington - Seattle
Master of Science in Data Science

Relevant UW coursework -
Applied Statistics, Statistical Machine Learning, Scalable Data Systems & Algorithms


Additional coursework -
Coursera: Deep Learning Specialization, Deep Learning with CV and NLP
Udemy: Machine Learning A to Z, Deep Learning and AI

Jun 2015 -

Apr 2019

Vellore Institute of Technology
Bachelor's in Electronics and Communication Engineering

Program Representative of the department (PR)

University Rank 3

CGPA: 9.63 / 10.00 (US 3.9)

Skills
& Expertise

Frameworks: 

Data Engineering, Prescriptive Analytics, Machine and Deep Learning, Project Management, Data Visualization, Big Data Eco-System, APIs

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Languages:

Python, SQL, C, C++, R, Java, PySpark, Scala

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Software:

Alteryx, KNIME, Tableau, IBM SPSS, Tensor Flow, Keras, R - Studio, MATLAB, HADOOP

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Certifications:

★ Alteryx Designer Advanced and Core

★ Machine Learning

★ Deep Learning

★ Tableau specialist - Data school

★ SQL and Data Warehousing

Achievements and Publications

Achievements:

  • ITNG21 Springer conference Research paper presentation

  • Goldman Sachs COVID-19 Datathon Winner

  • The prestigious "Merit Scholarship" winner for three consecutive years

  • Idea presentation at "TARP SET" conference

  • JOHNSON CONTROLS Make-A-Thon Finalist

  • ​

Publications:

  • Feb 2021 Springer - A Comprehensive Analysis of SARS-CoV-2 in India (Co-Author)

  • Mar 2018 IEEE - Monitoring of Groundwater level and Development of Control Mechanism based on Machine Learning Algorithm (Research Assistant)

Volunteer and Leadership Activities

  • Volunteer at Community Teamwork and Analytics for good

  • Volunteer and Public Relations Fellow for Make A Difference, an NGO

  • Program Representative Head of ECE department (PR) SENSE VIT

  • Core Committee member in The Electronics Club (TEC)

  • Senior Coordinator at IEEE MTTS chapter

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