Ivan Pavlyshyn Email & Phone Number

Sirmione, It

We have developed an automated ML solution(IoT) for one of the biggest manufacturing companies. Our client has more than 100 factories worldwide; each has many sensors in a production line that provide signals during the manufacturing process. The main goals that we reached: 1) Optimizing manufacturing parameters(by ML) to decrease production costs; 2) Stabilize the quality estimations act without losing customer product satisfaction rate; 3) Find dependencies between quality and manufacturing data; 4) Create a real-time ML scoring process with dashboards for clients.

1. Developing an algorithm(backtested) to automatically manage liquidity on Uniswap V3. The strategy is based on passive rebalancing logic and performs the market-making activity. To run backtest we were using original transactional data from ethereum blockchain that was gathered from the flipside platform. Using that data we have achieved significant results by tuning optimal rebalancing parameters. The main strategy numbers for USDC / ETH pair for May21-Sep21 are: - APY 116%- Daily return 0.33%- Max DrawDown -18% - Winrate 68% 2. Take part in creating NFT evaluation algorithm using OpenSea data. We have produced a system that in automatic mode tries to find undervalued nfts in the OpenSea marketplace. To do that we were using rarity scores and historical prices data. By doing that we found out that there is a high correlation score between these numbers. To evaluate the result we used the most popular nft collections (BAYC, Floof, Coll Cats, etc. )

Responsibilities:1) Setting and checking tasks for Machine Learning team.2) Pre-sale and demo presentation for foreign clients.3) Architectural and technical vision of the projects.4) Developing and operationalization machine learning model.5) Preparation of analytical reports for the management.Achievements:1) Creating an automated reporting system for the project efficiency analysis.2) Developing a video-recognition algorithm for car numbers detection.3) Implementation modern Nature Language Processing solutions(BERT) in chat bot workflow.4) Building a team of highly qualified machine learning specialists.

Kiev

Kiev Region, Ukraine

Achievements:1) Development of Unsupervised Clustering of Bitcoin Transaction Data.2) Providing an automated algorithm for Tether addresses Classification and visualization in PowerBI.3) Creation of Ether blockchain Clustering in Neo4j Database (Community detection algorithms).

Kiev Region, Ukraine

Achievements: 1) Created real-time scoring models of crypto market(BTC,ETH,etc.) sentiment for different time frames(1d, 4h, 1h). 2) Reached 60% AUC in training set and 55% AUC on test set.3) Operationalized models for real-time usage by SQL+R technologies. 4) Create trading strategy, based in models with Max Drawdown -18% and mean ROE per deal +0.15%

Kiev Region, Ukraine

Responsibilities:1) Participation in negations with clients; 2) Assessment, analysis of business tasks;3) Creation of requirement and processing databases;4) Create data science solutions for business processes; 5) Conduction of training on technical issues for the team;6) Preparation of analytical reports (PowerBI). Achievements: 1) Providing a dynamic price-optimization system for the Ukrainian online taxi service in real-time.Key technologies: Azure ML Web-Service, R, SQL Server. 2) Create a dynamic routing solution for local carriers (traveling salesman problem). Key technologies: Google API, R, SQL Server. 3) Led a team to implement real-time product recommendations for a large national retail. Key technologies: FaceApi, R Server, Azure ML Web-Service, SQL Server. 4) Analysis and development of forecasting systems for retailers. Key technologies: R Server, SQL Server, Azure ML Studio.

Kiev

Tradeinside provides an AI-driven investment management solution for institutional investors in the US stock market. Our scientists combine quantitative investment techniques and machine learning technologies to achieve sustainable alpha for our customers.Responsibilities: - product presentation and negotiation with investors, clients, contractors, etc; - technical architecture of projects (Microsoft Azure Platform); - data collection and preparation from Electronic Communication Networks; - development of the capital management system; - maintenance and administration of databases (Azure Sql Database). Achievements: - creation of an automated algorithm of investment portfolios for the US stock market based on the Markowitz theory; - providing of a forecasting system for US stocks; - partnership with Microsoft BizSpark program.

Ukraine, Kiev

1) Creation and development of the unified system of forecasting.2) Development of automated demand forecasting algorithms for promotional activity.3) Development of algorithms of short-term forecasts on the basis of supply chain parameters.4) Implementation and development of cannibalization and stimulation in the supply chain and forecasting.5) Work with the projects in logistics.

1) Forecasting company needs vegetables and fruits with weekly frequency. 2) Planning company logistic turnover for the budgeting process and calculation of logistics costs.3) Development of an automatic algorithm for long-term demand forecasting for all products (> 50k SKUs). The introduction and implementation took place on SQL and R.4) Testing of econometric models based on the law of supply and demand.

1) Analyze the data of all components of the supply chain (sales, stocks, orders, schedules, etc.).2) Statistical analysis of past promotional activities for forecasting new activities.3) Calculate optimal values of goods on the shelf in the stores based on the physical parameters of the product.4) Preparation analytical reports based on the dynamics, trends and seasonal of goods.

Master'S Degree, Risk Management And Insurance

Bachelor'S Degree, Finance, Banking And Insurance, 90,02