Yulia Bezginova

• Increased client portfolio from 0 to 25 new A, B class European clients in the 1st year from scratch for the new business. • Reached 100–260% of quarterly targets (Q3 2025 - best result across the group increasing the sales plan for 173%). • Acquired A and B class clients across Germany, Austria, Italy, and Kazakhstan. • Maintained a strong outbound rhythm (50–80 calls and 90–160 emails daily), bringing 2–5 new clients per month on average (the highest number – 16 clients per quarter).

• Delivered projects in data science, machine learning, and full-stack development, including customer success-focused solutions such as churn prediction, feedback classification, and sentiment analysis. • Led cross-functional teams from the US and India to integrate machine learning models • Built predictive models for financial risk and operational efficiency, driving cost savings of up to 20% for clients. • Conducted post-implementation reviews with clients, achieving a 95% satisfaction rate.

Data Analyst | Tumlare Corporation | Travel • Serving the stakeholders in London entity. • Automated financial data pipelines using Power Query, reducing reporting errors by 30%. • Conducted time-series analysis for revenue forecasting, improving accuracy by 25%. • Implemented financial metrics dashboards in Power Query, providing actionable insights for leadership teams. • Worked on cross-functional projects to standardize data management practices across multiple international entities.

PROJEKT 2019-2021, Höhere Schule für Wirtschaft: Forschungsprojekt am ID Lab (https://idlab.hse.ru/en/) zum Ruf russischer Universitäten, methodenbasierte Literaturübersicht. FORSCHUNGSMETHODOLOGIE: - Sammeln von offenen Daten mit R, Python; - Datenverarbeitung mit R, Testen von Hypothesen, Erstellen von Regressionsmodellen; - Visualisierung von Daten mit R, Python, Tableau.

Systemtest, funktionales manuelles Testen einer Software "FlexProd", die eine Integrationsplattform für die Ausrichtung aller Partnersysteme der Deutschen Telekom darstellt und hochwertigen Service als Internet- und Telekommunikationsanbieter bereitstellt. Tägliche Aufgaben: - Vorbereitung von Testfällen - Wartung von Testfällen - Erfassen von Fehlern in JIRA, Bugzilla - Datenbanknutzung und -aktualisierung mit der SQL-Sprache Fähigkeiten: SQL · Linux · Jira · Manuelle Tests · Bugzilla

Am 1. April 2016 wurde conject AG von einem australischen SaaS-Anbieter - Aconex (Hauptsitz in Melbourne, Australien) - übernommen. VERKAUFSOPERATIONEN - Vorverkauf; - Vertriebsanalyse. DIGITALES MARKETING - Erstellung von Marketingkampagnen (SalesForce, Marketo); - Testen von E-Mail-Marketingkampagnen (Marketo); - Durchführung von Webinaren über ReadyTalk, Marketo. Fähigkeiten: Microsoft Excel · Marketo · Cascading Style Sheets (CSS) · Datenanalyse · Microsoft PowerPoint · Salesforce.com · HTML5

«JTI JUMP 2014» Graduate Development Program: Production Planning department --> Tax Department --> Russian Statuary Accounting Group 1) Property tax reduction processing and submission for FY2014; 2) Sales & Purchase Books creation based on incoming and outgoing invoices, claims, consignment notes, waybills; 3) Preparing consulting presentations for other Russian Statuary Accounting Group divisions at Business service center of JTI.

As a part of a summer internship, I has started at HR department and then have been relocated into AP division of Philip Morris tobacco factory in St. Petersburg. My responsibilities were: 1. Check of invoices, waybills for purchasing non-tobacco and tobacco materials and equipment 2. Inserting information from paper documents to the program Invoice Storage Systems (ISS)