Rahul Panday Email & Phone Number

Redmond, Washington, Us

Redmond, Washington, Us

Redmond, Washington, Us

Working on the platform team of Workplace Analytics (WPA) under Office365 https://www.microsoft.com/microsoft-365/partners/workplaceanalytics- Designed & developed a privacy-compliant, scalable & COGS-friendly telemetry feature to compute monthly analyzed users. Savings: Time from 6-hours to under 10 seconds, COGS in-order of 100x.- Designed & developed the multi-tenant architecture for the WW launch of WPA under the Office365 suite. The scale is millions of users & lakhs of customers. The project was spread across 4 different Microsoft product teams & had challenges wrt to compliance, scale, flighting, (de)provisioning & logging.- Improvements on Org data upload pipeline in WPA- As part of the WPA EngSys team took on DevOps responsibilities like production deployment, build & release pipelines, test automation.Technologies used are ASP.NET, Web API, C#, Azure Pipelines, Azure Data Lake (ADL), Azure blob store, Azure CosmosDb (docdb), Kusto (logging), React (basic), AAD, Powershell (basic), SQL Server Analysis Service (basic), OData (basic), MSTest, NUnit, REST APIs, Azure Functions (basic).

New York, New York, Us

• Designed and developed the backend Analytics engine which helps management & sales teams take internal growth decisions. Analytics data was made available in MS Excel via ODBC connection to secure Redshift clusters. • Designed and Developed dashboard layout engine used for displaying visualizations and worked on variety of non-trivial visualizations like Pivot Tables, Polar Charts, Bubble charts, Infocards etc. • Designed and Developed Publication feature for syncing datasets across Knoema portals. This feature delivers value by providing latest available data to our Enterprise customers. • Designed and Developed update feature for Knoema appliances to seamlessly deliver one-click application and database updates to clients without disrupting their installation efforts.• Designed and Developed “Knoema Data Finder” addon for Excel, Excel 365 & Google Sheets, available in Windows office store and Google Drive store. These addons were critical in gaining exposure on various platforms for Knoema.• Designed and Developed Replication feature for syncing datasets to Knoema appliances running on client local networks. This is the opposite of Publication and uses a pull request from appliances.• Designed and Developed Export of visualizations to various file formats like XLSX, PPTX, PDF, PNG, CSV. It is the most used feature and leads to maximum signups for Knoema.• Did SEO & Amp improvements which increased traffic from Google Search and Google Dataset Search to half a million per month on average.• Interviewed and trained new developers in team, involved in daily code reviews, specifications review and delivering KTs. Managed daily production updates, bug triaging and beta releases. Continuous deployment system ensured fixes are pushed to production sooner.• Technologies used are MVC .NET, C#, MS SQL, Redshift, Javascript, JQuery, Typescript, Windows Service, Amazon S3, AWS Lambda, Google App Script, IIS Server, REST APIs and OAuth 2.0.

Did Market study and financial modelling to asses economic viability of client’s venture on various projects. I got selected to work there under the Young CEO program.

Query Performance and Optimization in Database and Data Warehousing productsProjects done: Algorithm to transform a set of predicates to Multicolumn IN transform, Algorithm to efficiently scan columns for predicate execution, Distributed queries involving LIKE predicates and Order ByAll these projects were for a new release of Sybase IQ (codename: WhiteKnucles). These projects involved the task of performance improvement and new feature/ algorithm development. The development platform used was Sun Solaris/unix and language used was C++. Each of these projects gave a performance improvement from 10% to 30% compared to previous release of Sybase IQ.

Sunnyvale, Ca, Us

Implemented an “Automatic Data Record Extractor for Web Pages” which can be used by the company to automatically index web content for its search engine. This extractor worked for shopping and travel pages with 60% correctness.

Bangalore, Karnataka, In

Implemented a Software Driver for Serial Peripheral Interface (SPI) protocol for both Host and Device sides in C

Bachelor Of Technology - Btech, Computer Science And Engineering

Self Driving Car Enginner Nanodegree - Term 1

Data Structures

Education record