Jul 2021 – Mar 2023 · 1 yr 8 mos · Sydney, New South Wales, Australia

• togetherAI (AlwaysHere) uses artificial intelligence to empower families to have the right conversations at the right time.
• Being a part of a lean data team in a startup means you are responsible for the huge variety of tasks: from ad-hoc data mining analysis to help the teams answer performance questions up to sophisticated NLP modelling.
• My major responsibility is to create Chatbot that recognises emotions and intents of users and then direct users to appropriate chat flows (AWS, Google). I work closely with the content team to develop new topics based on sentiment analysis and data we receive from our users, as well as wellbeing team to find options to respond customers in the best personalised way.
• My other responsibilities involve, but not limited to:
• Work on data science projects like content recommender system, personalisation, churn;
• Marketing performance analysis and reporting (Google Analytics, Facebook and TikTok ads manager, Mixpanel, Appsflyer);
• Analytics of product features;
• Development of Reporting and Visualisation(AWS Athena, MongoDB, PowerBI);
• Data audit: manage, clean, and validate large data sets to ensure accuracy, completeness, and uniformity;
• Ad-hoc analytics to understand patterns, results and reasons for changes;
• Strategy and Decision-Making Support: work closely with stakeholders across the organisation to understand data needs and support them in making data-driven decisions.
• Data Governance. Since we are working in mental health space, data privacy, security and regulatory compliance is vitally important for us. Data team is collaborating with Legal department to ensure we are compliant with legal and regulatory requirements across different countries where our app is available

Apr 2017 – Jul 2021 · 4 yrs 3 mos · Greater Sydney Area

• Consulting to provide data-driven business solutions using data science and analytics. Projects vary from small to large scale. We develop end to end analysis and solutions to take the pain away from business decision-making so businesses can make the best decisions to achieve their marketing, financial and operational goals.
• A focus on clear communication from start to finish ensures a successful outcome and better experience for everyone involved.
• I have experience across data analysis, data mining, business intelligence, mathematical and statistical modelling, predictive analytics and machine learning with particular expertise in digital marketing data projects such as attribution modelling, clustering, segmentation and behavioural analysis, propensity modelling, CLTV, RFV modelling, retention/attrition/churn analysis and campaign optimisation across a variety of industries.
• We work across different industries, some of our customers are: government agencies (Police NSW, Health NSW), VoltBank, 12WBT, Equalution, Australia Catholic Superannuation & Retirement Fund, PioneerCredit, ModiBodi, Precision Group, UnitedPetroleum and many more.
• We are small team therefore my responsibilities include everything from pitching clients and CFO job (invoicing, reporting, budgeting, tax, payroll, dealing with banks), HR, marketing, sales up to execution of the projects themselves.
• Depending upon a business's objectives and environment, I utilise skills and expertise in Excel, VBA, Power BI, Tableau, DOMO, SQL, T-SQL, R, SPSS, Python, SQL Server, SSRS, BigQuery, MongoDB, Snowflake, Azure, Google Analytics, Mixpanel, DMPs, Google Adwords, Facebook Ads Manager (incl. Instagram ads), TikTok Ads.

Oct 2014 – Apr 2017 · 2 yrs 6 mos · Sydney

• Skilled in data cleansing, mining and analysis (SQL, SSRS, Advanced Excel, Advanced VBA, R, Python), business intelligence, statistical analysis, predictive modelling, online marketing analytics, and data visualisation.
• Utilize Kanban project and task flow management.
• Specialised in digital marketing analysis, including email marketing, SEM, Facebook marketing, contextual marketing, retention and attrition modelling, as well as segmentation and regression analysis.
• Work closely with marketing specialists and senior management to guide strategy through advanced data analysis of large data sets, integrating and combining data from multiple sources (e.g. Google Analytics + Google Adwords, internal data via SSRS or directly from the SQL database) to provide actionable insights to optimise marketing ROI.
• Present monthly analysis of KPIs to C-level senior management and stakeholders.
• Work closely with the database administrators to translate business requirements into specifications to develop MS SQL Reports.
• Utilise advanced Excel skills and advanced VBA coding for the development of macros to automate processes across multiple departments to increase efficiency and accuracy.
• Manage dashboards and reports to translate large volumes of quantitative data into clear and profitable insights.

Mar 2013 – Aug 2014 · 1 yr 5 mos · Ukraine

• Job duties/responsibilities:
• Analyse, evaluate, manage cash-flow reports on a daily basis. Prepare and present to the management payments plan.
• Prepare insights on trend analysis, Company's performance evaluation, KPIs to senior management and stakeholders (including P&Ls per store , Brand and Company, Cash Flow, Balance Sheet)
• Prepare annual budget for the whole Company (14 stores and Head Office), including monthly sales targets, loan positions, stock level
• Prepare 5-year Business Plan for Marks&Spencer
• Preparate annual financial packages in accordance with IFRS and Turkish GAAP
• Liaise with external audit on behalf of the Company
• Stock turnover and stores' payoff analysis
• Reconciliation with main suppliers. Control over credit notes issued
• Control and manage royalty payments

Oct 2010 – Mar 2013 · 2 yrs 5 mos · Ukraine

• Job duties/responsibilities:
• Industry and competitors financial analysis;
• Analysis of actual financial results versus budgeted/forecasted;
• PL & BS financial data analysis and evaluation;
• Internal controls testing;
• Observation of clients’ stock take methods, stock count attendance;
• Performance of analytic reviews and expectation tests;
• Experience in assisting in preparation and auditing of IFRS financial statements (IFRS, Ukrainian accounting standards, US GAAP).
• Participated in audits of companies from the following industries: FMCG, outdoor advertising, bread production, cable TV and Internet provider, construction, auto retail industry;
• Reporting risk management issues and internal controls deficiencies;
• Stock counts organization and participation;
• Recommendations provision for improving the organization's operations;
• Achievement:
• Managed to establish harmonious and mutually beneficial business relationship with company key clients, promotion within a year to the new position and salary, high clients’ satisfaction.
• Being an assistant of the third year was assigned as an in-charge of a team of four assistants of car retail company.