Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech https://ift.tt/3beSuvY

Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech Hey everyone, we're Anton (avais), Kirill (Datkiri), and Volodymyr (vsofi), the founders of Datrics ( https://datrics.ai ). We help FinTech companies build and deploy machine learning models without writing code. We provide a visual tool to work with structured data by constructing a diagram of data manipulations from lego-like bricks, and then execute it all on a backend. This lets our users accomplish tasks that usually need a team of software engineers, data scientists, and DevOps. For instance, one of our customers is a consumer lending company that developed a new risk model using just our drag-and-drop interface. I used to lead a large data science consultancy team, being responsible for Financial Services (and Risks specifically). Our teams’ projects included end-to-end risk modeling, demand forecasting, and inventory management optimization, mostly requiring combined efforts from different technical teams and business units to be implemented. It usually took months of work to turn an idea into a complete solution, going through data snapshot gathering to cleansing to experimenting to working with engineering and DevOps teams to turn experiments in Jupyter notebooks into a complete application that worked in production. Moreover, even if the application and logic behind the scenes were really simple (could be just dozens or hundreds of lines of code for a core part), the process to bring this to end-users could take ages. We started thinking about possible solutions when a request from one of the Tier 1 banks appeared, which confirmed that we’re not alone in this vision: their problem was giving their “citizen data scientists” and “citizen developers” power to do data-driven work. In other words, work with the data and generate insights useful for business. That was the first time I’d heard the term “citizen data scientist”. Our users are now these citizen data scientists and developers, whom we’re giving the possibility to manipulate data, build apps, pipelines, and ML models with just nominal IT support. Datrics is designed not only to do ML without coding, but to give analysts and domain experts a drag and drop interface to perform queries, generate reports, and do forecasting in a visual way with nominal IT support. One of our core use cases is doing better credit risk modeling - create application scorecards based on ML or apply rule-based transactional fraud detection. For this use-case, we’ve developed intelligent bricks that allow you to do variables binning and scorecards in a visual way. Other use cases include reports and pivot tables on aggregating sales data from different countries in different formats or doing inventory optimization by forecasting the demand without knowing any programming language. We’re providing 50+ bricks to construct ETL pipelines and build models. There are some limitations - a finite number of pre-built building blocks that can be included in your app, but if there is no block that you need, you can easily build your own ( https://youtu.be/BQNFcZWwUC8 ). Datrics is initially cloud-native, but also can be installed on-prem for those customers who have corresponding security policy or setups. The underlying technology, the pipeline execution engine is rather complex and currently built on top of Dask, which gives Python scalability for big datasets. In the next release, we are going to support Pandas as well as to switch intelligently between small datasets for rapid prototyping and big datasets for pipeline deployments. We’re charging only for private deployments, so our web version is free: https://ift.tt/2Nfu1i1 . Try it to create your analytical applications with a machine learning component! We've put together a wiki ( https://wiki.datrics.ai ) to cover the major functionality, We are super-excited to hear your thoughts and feedback! We're big believers in the power of Machine Learning and self-service analytics and are happy to discuss what you think of no-code approaches for doing ML and analytics generally as well as the availability of them for non-data scientists. Or anything you want to share in this space! February 18, 2021 at 01:42PM

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More Muni Metro Rail to Return in May

More Muni Metro Rail to Return in May
By Mariana Maguire

By May, the SFMTA plans to restart more Muni Metro rail service, extending the T Third Metro rail route between Sunnydale and West Portal, and bringing the full N Judah Metro rail route back into service between 4th and King (CalTrain) and La Playa (Ocean Beach).

Adding Metro rail service means we can connect more customers to essential jobs and locations along these routes and make it easier for customers to travel through downtown along Market Street.

Since August 2020, Muni has been undertaking intensive subway repairs after discovering some potentially faulty overhead splices and issues with ballast in the Eureka Curve/Twin Peaks Tunnel. We are now moving closer to completing the essential repairs and upgrades which will allow us to reopen subway service. Our work crews have removed all of the splices that had been potentially defective and replaced them with splices from a new manufacturer. We’ve also finished construction of the ballast in the Eureka Curve and have begun extensive testing and certification of the subway to ensure that everything works properly, reliably and safely. In the meantime, we’re also continuing important regular maintenance work to make as many improvements as possible while the subway is temporarily closed.

The return of the N Judah Metro rail will also free up buses that we will put to use on existing bus routes so that we can circulate other vehicles out for critical maintenance. In the effort to bring back as much bus service as possible and run buses more frequently, we have been pushing our vehicles to the limits with little or no time for maintenance. The additional buses released from N Judah service will allow us to maintain existing bus service while also keeping our fleet in good working order.

The SFMTA continues to work closely with district supervisors, stakeholders and community members to bring back additional service and modify existing service to better balance our available resources with our customers’ needs. This is especially a priority for communities most dependent on transit and who have the fewest alternative transportation options for essential travel.

We will continue to provide updates with more details and a complete list of service changes as information is available.

Published February 18, 2021 at 02:03AM
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