Phoenix Consultancy

Portfolio Flight Control Client: Scrum Entertainment 4 Developers, 1 Developer in Test, 1 UI/UX Designer, 1 QA 4 months Docker, NodeJS, ReactJS, AWS Postgres, Bitbucket Pipelines Flight Control This portal integrates multiple ticketing systems/point of sales into one universal platform providing ability for end-users to manage ticket inventory lifecycle at glance. Key impact on the end users is changing the flow from navigating through different POSs to quick access to all information in the app. The system is connected to dozens of endpoints using multiple cross reference strategies, from regular keys to NLP and similarity models. It provides both singular and list view of purchase orders, invoices and fulfillment data from all ticketing marketplaces including Ticketmaster, StubHub, VividSeats, SeatGeek as well as email integration to facilitate the process of correspondence with customer representatives. Real Estate ERP Client: Scrum Real Estate 2 Developers, 1 DevOps, 1 QA Ongoing project, 3 years Docker, PHP Symfony 3.4, AngularJS, MySQL, Bitbucket Pipelines, Vanilla JavaScript Real Estate - ERP Complete ERP platform built for real estate industry specifically emphases modules delivered for management of resources and project management with-in the company. It is being used for resource management and operational tracking of the company allowing to manage people schedules, projects statuses, track finance plans - this allows full oversight of the company. The product connects to SAGE finance system providing the single source of truth. The platform contains 5 complete modules interconnected through the system: • Project management • Works Calendar • Administration • Report Centre • OneDrive and Outlook integration Real Estate CRM Client: Scrum Real Estate 3 developers, 1 UI/UX Designer, 1 QA Ongoing project, 3 years Docker, PHP Symfony 3.4, AngularJS, MySQL, Bitbucket Pipelines, Vanilla JavaScript Real Estate - CRM Complete CRM platform built for real estate industry providing sales personnel to efficiently manage communication and sales process with existing and potential customers. Due to specific niche custom-made software was required. It incorporates all aspects of business into one sales pipeline from cold lead to a satisfied customer. The platform contains 6 complete modules interconnected through the system: • Customer and Site Database • Lead Management • Purchase Orders • Quoting • Contract Management • Message Board IOT - SIM Swapper Client: Scrum Telco 1 Developer, part time QA 4 months PHP, MySQL, AWS MySQL, Bitbucket Pipelines IOT - SIM Swapper The product presents a backend engine used for automated management of SIM cards used on IOT devices for the leading UK reseller. It scans in near real time SIM traffic data and based on the threshold switches caller IDs to prevent traffic overuse and reduce the cost. Based on a list of used IOT SIM cards that are registered, SIM Swapper collects internet usage data and tracks bundle allowance per caller ID. As main idea is to avoid overcharges, once data usage breaches threshold the engine assigns caller ID from the pool to the physical SIM card inside the device. Engine leverage is telco providers portals such as O2 and Abzorb. GDPR implementation Client: Non Disclosed Lean Entertainment 6 Developers, 1 DB Admin, 3 QAs 3 months GDPR implementation The implementation of GDPR focuses on analyzing the data and data processing through the application and applying the compliance and security recommendations. As organizations must implement an appropriate level of security—encompassing both technical and organizational security controls—to prevent data loss, information leaks, or other unauthorized data processing operations, the scope or project was on implantation of compliance in the existing system. GDPR encourages companies to incorporate encryption, incident management, network and system integrity, and availability and resilience requirements into their security program. Scope includes: • Personal data and personal data processing • Personal data processing covered by the regulation • Exemptions concerning processing of personal data • Exemptions in the case of freedom of information and freedom of expression Real Time News Processing Client: Non Disclosed Scrum News 2 Developers, 1 QA 2 months Python3, Apache Spark, MongoDB, Druid, ReactJS Real Time News Processing The product shows near real-time overview of trending terms over digital news sources using NLP (Natural Language Processing). It allows analysts to quickly identify the trends and outline news peaks through visualization tool., providing the essential information that was missing before the product launch. Backend part consumes the data from digital news portal and processes keywords and phrases using highly scalable component fueled by NLP models. The processed data is being stored in high performing indexed databases, whilst raw data is being stored into data lake. The timeseries of processed data is plotted on the filterable graph and allows end-user to navigate thought time and topics with ease. Product enables adding new sources, in-application mapping and model customization by end-user. Importance of different consuming methods lies in various connectors to news portals like RSS, web scaping, REST-API consuming and similar. Parts and materials management Client: Non Disclosed Lean Manufacturing 2 Developers, 2 Data Scientists, 1 QA 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud Parts and materials management Web application used to facilitate process of handling and matching parts from different manufacturers. Database contains more then 300 million rows that are being fetched instantly due to architecture setup in conjunction with AI driven suggestion mechanism which helps end users to quickly and efficiently match parts and clean the inventory. The product is SaaS focused integrating payment gateways Authorize.Net for payment processing management. Kerosene Client: Scrum Entertainment 2 Developers, 1 QA 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud Kerosene Web app used for order-processing automating purchase orders creation by real-time marketplace integration. The application reduces the risk of making mistakes during manual process of making purchase orders and optimize workflow in entertainment industry. Through the web services, software checks multiple accounts on different markets and gathers all new purchases. System can retrieve all the details for each purchase and store the data to the DB, process them in order to fit the POS standards and send the values to the POS where new purchase order is created. Other capabilities such as auto-fulfillment, price changing, broadcasting to the marketplaces furthermore increases the automation and overall productivity. Embedded analytics visually help users to understand bottlenecks in the process by plotting key data points on a neat dashboard. DSG Client: Scrum Entertainment 5 Developers, 1 Data Scientist, 2 QAs 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud DSG Designed as a ticketing web app used to dynamically change price of a single ticket/listing by following predefined set of rules that are being set in support of interactive seat map which plots real time data statistics. The tool conceptualizes the comparison of brokers inventory with market prices in real time manner. User Interface visualizes price trajectory over time and recommends optimal change targeting optimal time to sell and optimizing sale profit. It significantly reduces inventory management time as well as ticket waste. By constantly monitoring marketplaces end user has more frequent market insights which provides optimized inventory pricing in fast-paced changing markets such as StubHub and leads towards increased competitiveness. Aside from main functions, the tool enables 360° view by outlining event sales data, historical trends, current state and market forecast. The analyses is based on external data points including weather data, demand metric, YouTube popularity, etc.. Data Portal Client: Non Disclosed Scrum Marketing 4 Developers, 1 Data Scientist, 1 QA 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud Data Portal Built product is a data portal connecting multiple affiliate networks into one data portal, providing ability to analyze affiliate and client performances in singular view. As performance data were spread through 10+ different affiliate networks, it was time consuming to collect reports from different portals and cross reference data to build performance analyses. Brining the data portal in usage, it enabled analysts and account managers to accurately identify client performance peeks and dips. Night batches are being regularly executed to collect the data from affiliates networks and stores into the data modeled run on performance-oriented AWS data-warehouse. Performance forecast, client management, notes and custom dashboards are essential modules of the portal, wrapping up the whole application into must-to-have tool in the industry. Billing Client: Scrum Telco 2 Developers, 1 QA 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud Billing Fundamental to the platform is the ability to quickly and easily configure the system to suit every aspect of your enterprise billing operation. Extensible architecture helps companies streamline their operations today and scale for the future. The Pangea Billing Platform automates collecting and normalizing multiple data sources from various operators and while providing a visually impactful and feature-rich dashboard enabling provisioned users to view the data KPIs from the various perspectives within the data hierarchy. Big Muskie Client: Scrum Entertainment 3 Developers, 1 QA 7 months Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud Big Muskie Web app constantly monitoring secondary marketplaces in search of price discrepancy zone/section. ticket within By replacing the old-fashioned ticket reselling process it enhanced the throughput in a matter of the amount of scanned events which enabled business scaling. The software fetches data from multiple API endpoints, process the data in a real time manner and notifies the end user about possible underpriced ticket on a market. Thank you----