Dedicated to helping clients leverage NLP to drive business growth. Committed to delivering NLP solutions that are both technically sound and strategically aligned with business goals. Staying up-to-date on industry developments and trends to continually optimize and enhance Hiflylabs' NLP capabilities. With a proven track record of delivering successful NLP projects, I'm passionate about helping clients unlock the full potential of their data through tailored solutions.

Member of the mid-management committee: shaping the strategy and operation of the advanced analytics team, also mentoring junior colleaguesPreparing sales offers and project plans, planning overarching analytics roadmap for strategic partnershipsTaking part in the foundation of a new business stream in web analyticsAs a project manager, design and supervise the operation optimization of the client in logistics. The team use cloud/based technologies and Python to find hidden potentials and achieve time savingsCoordinating a project, writing impact study about a new IT ecosystem including log collection, ingestion, processing and MLOpsAlso acting as a product owner, facilitating sprint planning and stand-ups.

Responsible for driving the implementation of modeling tools, optimizers and intelligent solutions with AI, ML. Developing a mixed-integer linear programming algorithm in Python, using Gurobi optimizer to solve complex scheduling problems of pharma companies. Also acting as a product owner, facilitating the introduction of an internally developed software solution enabling the digitalization of work scheduling in the pharma industry.

As an internal data consultant, provide advanced analytics and BI solutions to TX Markets CEOs to facilitate their data-driven strategy-making procedure.Build Power BI dashboards to monitor the KPIs of the company's marketplaces and its competitors' activity.Develop a machine learning-based pricing model of the second-hand car market in Python, using the scikit-learn package and conducting text analytics with spaCy on the description of the advertisements.Perform due-diligence of competitive intelligence databases, and ensure data quality of the reporting systems to management.

Responsible for project management and for the development of production pipeline. Build a demand forecasting machine learning model for a bakery, applying Prophet and LightGBM in Python. Daily sales volume datasets can be extracted from the bakery’s ERP system. The raw data source goes through the data cleaning and feature engineering phases. After experimenting with Catboost, XGBosst, LightGBM and several detrending methods the LightGBM and Prophet frameworks turned to be the best-performing combination. 1-month ahead sales predictions are integrated into the client's ERP system. Develop an R Shiny application that implements and visualizes financial models in the area of asset allocation management, risk management, and alternative investments. With the help of the application, users can investigate time series of American and Chinese financial instruments, calculate summary statistics and covariance matrices. The application also features state-of-the-art portfolio optimization methods, carry-trade strategies, volatility models and hedge fund performance analysis. This product is used in the framework of the joint Executive Finance MBA program of Geneva Finance Research Institute and Tsinghua University.Merge hedge fund data sets from different vendors, based on fuzzy similarity metrics and statisticalmethods, implemented in Python/Pandas.Load source data, financial data sets over 5 GB, to SQL using Python/SQLAlchemy.Organize and supervise internship programs. Gather internal needs, write job descriptions, and interview applicants. The enrollment of the best candidates followed by the on-boarding and regular tracking of their progress.

Established a new pricing schema for the Central European Gas Exchange (CEEGEX) to boost the turnover of the electronic trading platform. It required the deep analysis of the trading book to map the network and the bidding strategy of the participators. Ran Monte Carlo simulations in Python to stress the robustness of the pricing schema under different market conditions. Built up a controlling standard for the Hungarian Power Exchange to identify risk factors and measure their impact on the financial report.Constructed an energy demand forecasting model with a neural network algorithm for the Hungarian Transmission System Operator (MAVIR). This new approach achieved an outstanding 90% precision, which enhanced the system security and decreased the intervention costs.Implemented an algorithm in Matlab to model cross-border load capacity auctions. To figure out the best allocation procedure of the quotas among the bidding power plants to get the most flexible and cost-effective energy mix.Implemented an MS Excel-based tool to optimize heat production of a geothermic power plant. Modeled consumers’ heat demand as the function of the ambient temperature. On the supply side the operation and amortization cost, market price of the raw materials had to be controlled. Prepared business plan of a self-sustainable green park including biogas power plant, greenhouse, biomass boiler and drier.

Resolved market shares loss in Hair Care business by recommending a new price-promo strategy. Conducted a detailed market analysis to understand the essence of the business, the philosophy of the products and the behavior of the customers. Then examined the cost-effectiveness of the marketing strategy by calculating the key performance indices such as depth of deal (the price reduction in percentage term), uplift (the increase in volume during sales period), value-on-deal (the share of revenue gained on promotion compare to total revenue) and ROI (the ratio of revenue gained on promotion and amount of given discount.Revised the whole Beauty and Grooming product portfolio and determined new market trends and the high-potential market niches. Summarized which are the cash cows and star products of PG and how the company should redesign the less popular brands to keep up with competitors.

Analyzed EU Gas Network Codes to make impact assessment for this power and gas trader company.Managed HUPX prices and forward Brent prices as input data to generate summary statistics for the risk department.

Edited marketing materials and information memoranda for M&A deals.

Analyzed the financial reports of key competitors of Hungarian gas and oil company.