Ashwini Uthirakumar Email & Phone Number
Who is Ashwini Uthirakumar? Overview
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Ashwini Uthirakumar is listed as Cloud Support Engineer at Snowflake, a with 2295 employees, based in Fremont, California, United States. AeroLeads shows a matched LinkedIn profile for Ashwini Uthirakumar.
Ashwini Uthirakumar previously worked as Technical Product Support Engineer at Jpmorgan Chase & Co. and Graduate Student at San Francisco State University. Ashwini Uthirakumar holds Master Of Science - Ms, Computer Science from San Francisco State University.
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About Ashwini Uthirakumar
I am a technical product support engineer at JPMorgan Chase & Co, with a master's degree in computer science and over 5 years of extensive experience in Product support, SQL queries, and ETL processes. I am passionate about finding insights and solutions from data, using SQL, Python.In my previous role as a senior systems engineer at Infosys, I delivered high-quality reports and dashboards on product sales, online order tracking, credit risk, and trading data for global clients such as Apple and UBS. I improved the performance and efficiency of various ETL processes and SQL queries, reducing the data loading time and enhancing the user experience. I also collaborated with cross-functional teams and stakeholders, providing support and feedback on data-related issues and requests.I am eager to learn new technologies and methodologies, and to contribute to a diverse and inclusive team.
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Ashwini Uthirakumar work experience
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Technical Product Support Engineer
Graduate Student
Master of Science in Computer ScienceACADEMIC PROJECTSAnomaly-based Intrusion Detection System for Network Security using Machine Learning: Developed ensemble models to classify an attack by analyzing publicly available network traffic data. Voting classifier was the best performing ensemble learner with 89% precisionPredicting Lyft and Uber Price in Boston: Developed machine learning models to predict the price of a ride for both Lyft and Uber so that a customer can choose the cheapest of the available options. Random Forest was the best performing model for both Lyft and Uber data with as Root Mean Squared Error (RMSE) value as low as 1.34 and 1.85PointGoal Navigation in Photorealistic Environments: Proposed a stacked ResNet18+LSTM model and improved the success rate of a robot performing navigation from 81% to 87%, success weighted by path length (SPL) from 64% to 68% and reduced the distance to goal from 0.42m to 0.38mSocial Network analysis on Facebook data using friendship prediction algorithm: Calculated a similarity score based on Adamic-Adar index between two users and ranked them to predict their friendship. The score was calculated based on places visited and pages liked with 7.4 being the highest similarity scoreHousing website development: Designed and developed the sign-in and sign-up API using python’s Flask web framework for an apartment and housing website to rent and sell university real estate GRADUATE COURSES TAKENCSC-874:Topics in Big Data Analysis; CSC-848:Software Engineering; CSC-810:Analysis of Algorithms; CSC-865:Artificial Intelligence; CSC-845:Advance Computer Networks; CSC-869:Data Mining; CSC-852:Security & Data Privacy; CSC-872: Pattern Analysis & Machine Intelligence
Senior Systems Engineer
Client: Apple Inc.Worked as L2/L3 Technical Product Support engineer to maintain, troubleshoot, and resolve issues on Apple’s online retail platform within Service Level Agreements (SLAs)•Diagnosed, reproduced, and resolved a wide range of issues on Apple’s online retail platform.•Performed Impact assessment, reporting, and documentation of the observed issues. •Performed Splunk log analysis to understand issues and performed troubleshooting.•Work with development teams as needed to drive the online retail platform issues to resolution. •Worked on various database management activities during Apple’s New Product Introduction (NPI), code release, change requests and password change activities across systems. •Developed ad-hoc reports on Apple products sales in Tableau based on business requirements.•Tracked key performance indicators (KPIs) – such as sales growth, sales target, sales per Apple store - across Apple products for USA region to the Client’s Senior Management.
Senior Systems Engineer
Client: Union Bank of Switzerland (UBS)Worked as L2/L3 Technical Product Support engineer to maintain, troubleshoot, and resolve issues on UBS trading applications with Service Level Agreements (SLAs). •Performed in-depth analysis to resolve production and application issues.• Tracked and documented time spent on issues using JIRA ticketing system. • Worked on Splunk queries which monitors the application logs and raises alerts when required.• Created dashboards in Splunk to monitor application stats.• Analyzed Unix scripts, Oracle backend packages and procedures to debug failures.• Utilized Autosys JIL (Job Information Language) scripts to monitor and process daily batches.• Worked in Unix and RDBMS environment. • Developed temporary fix for incidents until a permanent fix was being deployed.
Software Engineer
Client: AT&TSupply chain management• Redesigned and implemented appropriate ETL mappings for sales data, reducing the report generation rate by 20%• Designed and developed mappings using Informatica Source Qualifier, Expression, Lookup, Router, Aggregator, Filter, Sequence Generator, Stored Procedure, Update Strategy, Joiner, and Rank transformationsAsset Lifecycle• Developed ad-hoc and canned analytics reports to analyze shipment data, based on the requirements of business users which significantly reduced data acquisition time for the business by 35%• Created dashboards for inventory projection which improved the planning process to manage supply and demand, thus increasing the customer satisfaction rate by 18%• Developed OBIEE reports and dashboards in the test environment which were tested by the clients before migrating to production environment• Created executive reports using BI Publisher integrated with OBIEEOther responsibilities• Monitored sessions using Informatica workflow monitor and debugged mappings for failed sessions• Created iBots/Agents to deliver reports to various destinations in different formats• Developed PL/SQL scripts which includes packages, stored procedures, functions, and triggers • Worked on the job scheduler DAC (Data warehousing Administration Console) which included importing subject areas, building execution plans, and scheduling
Associate Software Engineer
Colleagues at Snowflake
Other employees you can reach at snowflake.net. View company contacts for 2295 employees →
Moshe Chen
Colleague at SnowflakeSan Mateo, California, United States
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Pradnya Kale
Colleague at SnowflakePune, Maharashtra, India
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Kate Billera
Colleague at SnowflakePortland, Oregon, United States
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DC
Daisy C
Colleague at SnowflakeSan Francisco Bay Area, United States
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Kyle Share
Colleague at SnowflakeSan Francisco, California, United States
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Vanshika More
Colleague at SnowflakePune, Maharashtra, India
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Jude Vijay Arulraj
Colleague at SnowflakeGreater Nottingham, United Kingdom
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Marta Beckett
Colleague at SnowflakePort Orange, Florida, United States
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Hemant Pangam
Colleague at SnowflakeMumbai, Maharashtra, India
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Shabbir Jaliwala
Colleague at SnowflakeRedmond, Washington, United States
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Ashwini Uthirakumar education
Master Of Science - Ms, Computer Science
Bachelor’S Degree, Electronics And Communications Engineering
High School, Computer Science
Frequently asked questions about Ashwini Uthirakumar
Quick answers generated from the profile data available on this page.
What company does Ashwini Uthirakumar work for?
Ashwini Uthirakumar works for Snowflake.
What is Ashwini Uthirakumar's role at Snowflake?
Ashwini Uthirakumar is listed as Cloud Support Engineer at Snowflake.
Where is Ashwini Uthirakumar based?
Ashwini Uthirakumar is based in Fremont, California, United States while working with Snowflake.
What companies has Ashwini Uthirakumar worked for?
Ashwini Uthirakumar has worked for Snowflake, Jpmorgan Chase & Co., San Francisco State University, Infosys Limited, and Infosys.
Who are Ashwini Uthirakumar's colleagues at Snowflake?
Ashwini Uthirakumar's colleagues at Snowflake include Moshe Chen, Pradnya Kale, Kate Billera, Daisy C, and Kyle Share.
How can I contact Ashwini Uthirakumar?
You can use AeroLeads to view verified contact signals for Ashwini Uthirakumar at Snowflake, including work email, phone, and LinkedIn data when available.
What schools did Ashwini Uthirakumar attend?
Ashwini Uthirakumar holds Master Of Science - Ms, Computer Science from San Francisco State University.
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