Daksha Singhal Email & Phone Number
Who is Daksha Singhal? Overview
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Daksha Singhal is listed as Software Development Engineer at Amazon, a with 734811 employees, based in Boulder, Colorado, United States. AeroLeads shows a matched LinkedIn profile for Daksha Singhal.
Daksha Singhal previously worked as Graduate Research Assistant at Earth Lab - University Of Colorado Boulder and SDE at Dish Network Technologies. Daksha Singhal holds Masters, Computer Science, 3.96 from University Of Colorado Boulder.
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About Daksha Singhal
Passionate Computer Science MS student with robust industry experience in software engineering and data analytics. Proven track record at Dish Networks and Ernst & Young, enhancing product capabilities and streamlining data processes. Skilled in Java, Kotlin, Python, AWS, and deep learning, with a knack for transforming complex technical challenges into innovative, efficient solutions. Eager to leverage my analytical and programming expertise to drive impactful technological advancements.
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Daksha Singhal work experience
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Graduate Research Assistant
Developed an open-source fuel accumulation model aimed at wildfire prevention in California. Key achievements include:- Automated the retrieval of Sentinel-2 images by implementing a script on EC2 instance and storing images on S3 bucket.- Built a comprehensive spectral library utilizing three years of Sentinel-2 data, covering diverse eco-regions and vegetation types in Southern California.- Applied Endmember Selection on the spectral library and executed Multiple Endmember Spectral Mixture Analysis (MESMA) using GIS plugins. This analysis was crucial in identifying various vegetation types and dry matter across the region.Technical Expertise:- AWS Services- Satellite Image Processing- Python Programming- Geospatial Analysis- Remote Sensing
Sde
Dedicated and results-driven Software Engineer with a proven track record in the full life-cycle of feature development. My expertise lies in designing, developing, testing, and deploying microservices that drive team and organizational success.Responsibilities and Achievements:- Leadership in Development: Led the end-to-end development process for key features within the DAI team at Dish Networks and contributing to the total revenue of Sling TV by dynamic ads by 14%.- Microservices Design and Implementation: Designed, implemented, and tested various microservices with Spring Boot and Kotlin, enhancing client features and generating revenue through dynamic ads.- Cloud Deployment: Deployed microservices on the AWS cloud platform, ensuring scalability, reliability, and optimal performance.- Cross-Functional Collaboration: Collaborated with cross-functional teams including Sales and Player team to gather requirements, provide technical insights, and deliver high-quality solutions that meet business objectives.- Automated Testing: Implemented automated functional and integration testing, increasing code coverage by 15% using JUnit and Mockito.- Security and Stability: Ensured system stability by regularly scanning for security vulnerabilities and updating libraries as needed.- Mentorship and Code Review: Actively participated in code reviews, mentored junior team members, and fostered a collaborative and innovative work environment.Related Technologies:- AWS Services- Kotlin- Python-OOPs- CI/CD- Kubernetes
Sde Intern
Assessed Superset and Druid to create visualizations of the dynamic ads on Sling TV as a development project.Replaced existing data retrieval application and reduced the time to insert records & create dashboards by 30%.
Teaching Assistant
Responsible for developing and grading term papers and quizzes. Assisted professor for preparing the class and served as a liaison between student and professor.
Summer Intern
Incorporated an web application candlestick graph using BSE stock data. This feature, not present before in the BSE application, now allowed the stock traders to determine possible price movement by analyzing this graph between a certain period of time for a particular stock.
Summer Intern
Built a real-time data monitoring system which identified sales outliers automatically by applying k-means clustering algorithm. This reduced the Data Analytics team’s manual effort of finding outliers from several hours to roughly 10 minutes and also reduced human errors.
Summer Internship
Implemented a solution to predict the amount of steam produced at CDU by applying supervised ridgeregression model
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 734811 employees →
David Brebenel
Colleague at AmazonBraşov, Romania
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Julia Jarzębowska
Colleague at AmazonGdańsk, Pomorskie, Poland
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JP
Jai Parasnath I
Colleague at AmazonAssam, India
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Adrien Cold
Colleague at AmazonGreater Reims Area, France
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BG
Bj Gill
Colleague at AmazonRedmond, Washington, United States
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UK
Usama Khursheed
Colleague at AmazonRahim Yar Khan District, Punjab, Pakistan
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Fathima Niloopher
Colleague at AmazonKochi, Kerala, India
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OA
Ozan Albayrak, Pfmp, Pmp
Colleague at AmazonLuxembourg
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Zuhdi Almansour
Colleague at AmazonMakkah, Saudi Arabia
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Rimix Yt
Colleague at AmazonPaddhari, Gujarat, India
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Daksha Singhal education
Masters, Computer Science, 3.96
Bachelor'S Degree, Computer Science, 8.11
High School Diploma, Mathematics And Computer Science, 85%
Frequently asked questions about Daksha Singhal
Quick answers generated from the profile data available on this page.
What company does Daksha Singhal work for?
Daksha Singhal works for Amazon.
What is Daksha Singhal's role at Amazon?
Daksha Singhal is listed as Software Development Engineer at Amazon.
Where is Daksha Singhal based?
Daksha Singhal is based in Boulder, Colorado, United States while working with Amazon.
What companies has Daksha Singhal worked for?
Daksha Singhal has worked for Amazon, Earth Lab - University Of Colorado Boulder, Dish Network Technologies, Pes University, and Bombay Stock Exchange Limited.
Who are Daksha Singhal's colleagues at Amazon?
Daksha Singhal's colleagues at Amazon include David Brebenel, Julia Jarzębowska, Jai Parasnath I, Adrien Cold, and Bj Gill.
How can I contact Daksha Singhal?
You can use AeroLeads to view verified contact signals for Daksha Singhal at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Daksha Singhal attend?
Daksha Singhal holds Masters, Computer Science, 3.96 from University Of Colorado Boulder.
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