Graduate-Masters in Information Management

SNEHA S. KAMATH

**** ****** ****** ***, *******, CA 95765

******************@*****.*** 206-***-**** www.linkedin.com/in/sneha-sanjeev-kamath SUMMARY OF QUALIFICATIONS

Expertise in MS Excel, Python and SQL

Strong organizational capabilities and ability to create data visualizations and dashboards in Tableau

3 years of professional experience in automation and risk management reporting and analysis

Strong verbal and written communication skills

EDUCATION

UNIVERSITY OF WASHINGTON, INFORMATION SCHOOL, Seattle, WA Graduated December 2019 Masters in Information Management (MSIM) – GPA 3.77/4 Specialization: Data Science, Business Intelligence SYMBIOSIS INTERNATIONAL UNIVERSITY, Pune, India Graduated April 2014 Masters in Business Administration (MBA) – GPA 3.0/4 Specialization: Finance

MANIPAL UNIVERSITY, MANIPAL INSTITUTE OF TECHNOLOGY (MIT), Manipal, India Graduated May 2012 Bachelor of Engineering (BE/BS) – GPA 3.2/4

Specialization: Computer Science

PROFESSIONAL EXPERIENCE

Manager, Market Risk at Yes Bank Ltd, Mumbai, India June 2014 - July 2017

Built database with Excel to monitor covenants and escalate issues when financial market transactions violated the approved credit contract of the clients

Participated in identifying, documenting and prioritizing business and functional requirements from business partners and acted as a liaison in sending and receiving the data to the Business Analysts

Collaborated with Senior Analysts to prepare User Stories and review test cases and performed System and UAT testing

Automated the treasury exposure monitoring system for the International Business Unit of Yes Bank Ltd which resulted in decrease of manual intervention by 40%

Involved in user testing of incorporation of treasury exposures arising from FlexTRADER (the world’s first broker-neutral execution management trading system) into the in - house exposure monitoring system

Gained practical exposure to global treasury markets and financial instruments ACADEMIC PROJECTS

Capstone Project – Equitable Access to Public Transport at UW, Seattle WA January – June 2019

Partnered with King County Metro and Sound Transit to identify barriers to public transport and use of Transit GO ticket faced by marginalized

(low income, low English proficiency, unbanked, disabled) communities in Seattle

Created a survey to understand user profiles, ridership patterns and payment methods used by the communities

Trained and partnered with agencies that collaborate with these communities to conduct personal interviews that identified obstructions for use of the Transit GO ticket

Collected and analyzed 57 data responses and created a set of strategic recommendations to be adopted by our sponsors to provide equitable access to the marginalized communities

Received the Diversity Award from UW for providing an inclusive solution to the stakeholders Business Intelligence Developer - Department Store Sales at UW, Seattle WA January - March 2019

Built an end to end BI System in Visual Studio to study historical sales data for a fictional retail company and make recommendations to improves sales profit

Developed a star schema dimensional model with Microsoft Visio for the business database

Designed and developed an ETL system using Microsoft SSIS packages

Created Tableau dashboards to view trends in core performance metrics such as sales amount, sales quantity, profit, profit margin of individual products and compared them to the targets

Text Classification of Wine Reviews at UW, Seattle WA September - December 2018

Analyzed different text classification machine learning models

Identified specific words in wine reviews that can predict the rating of a wine type TECHNICAL SKILLS

Proficiency in Python, R, SQL, Tableau and Microsoft Office Suite

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