Experience

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  Lendi Group

  • Australia
  • Financial Services
  • 700 & Above Employee

  • Senior Data Scientist

    • Jul 2022 - Present

    Achievements: 1️⃣ Implemented an AI assistant (chatbot) providing advice on lender policies and products across 300+ documents using the RAG (Retrieve, Analyse, Generate) framework. Established the infrastructure and the processes to maintain the knowledge base and the vector embeddings. 📈 Impact: Up to $5m savings in operational cost equivalent projected annually across >1k users. 💻 Stack: AWS (SageMaker, S3, Kubernetes, RDS), Python, Flask, PGVector, LangChain, LLAMA2 LLM, Hugging Face. 2️⃣ Developed, implemented, and maintained multiple churn machine learning models which were trained and validated on data from diverse structured and semi-structured sources across various brands of the Group. 📈 Impact: Improvement in customer retention rate by up to 143%, resulting in NPV (Net Present Value) increase of up to $2m annually per brand. 💻 Stack: AWS (SageMaker, S3), Python, Snowflake, Airflow, DBT. 3️⃣ Established and maintained an advanced analytics infrastructure and related change management processes used as the best practice in the Data Science team. 💻 Stack: AWS (SageMaker, Jupyter Notebooks, S3), Airflow, Snowflake, DBT, DVC, GIT, Confluence.

  • Data Scientist

    • Jul 2019 - Jul 2022

    Achievements: 1️⃣ Implemented a settlement propensity machine learning model used for ROAS (Return Of Advertising Spend) marketing campaigns optimisation and integrated outputs with Google Ads API. 📈 Impact: ~30% increase in user conversions for the enabled marketing campaigns of the Lendi brand, resulting in ~$2m additional settlements annually. 💻 Stack: AWS (SageMaker, S3), Python, Airflow, DBT, Snowflake.2️⃣ Led and successfully completed a DWH migration project (Redshift to Snowflake) in 3 months with a team of 3 people. Scope: 1000+ tables, 300+ data sources and 15+ ETL processes.📈 Impact: 15x improvement in query execution time; establishment of centralised decoupled data sources, best engineering practices, codebase simplification, and strong security principles. 3️⃣ Performed customer segmentation (k-medoids) and exploratory analysis on the customer base. 📈 Impact: Revised marketing strategy to cover untapped customer segments, resulting in ~20% increase in CTR (click through rate). 💻 Stack: R

  • Data Analyst

    • May 2018 - Jun 2019

    Achievements: 1️⃣ Proposed, built, and maintained a comprehensive near real-time solution identifying and surfacing users re-engaged online. 📈 Impact: Currently, this group represents ~20% of the customer base and ~30% of all the contacts made (monthly), contributing up to $700k in settlements annually. 💻 Stack: AWS (Lambda, S3), Python, Airflow, Kafka, Salesforce, Redshift. 2️⃣ Crafted comprehensive dashboards and in-depth analysis reports, highlighting actionable business insights and improvement opportunities. 📈 Impact: Funnel conversion increased by up to 70%; loan self-submit rate increased by up to 200%. 💻 Stack: Tableau, Salesforce, Redshift. 3️⃣ Proposed and maintained a comprehensive event tracking schema and implementation/review processes. 📈 Impact: Over 6 months of closely working with Product Managers, the NPS score for the Data & Analytics team had increased by 40% (the largest NPS increase across all the stakeholders).

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  Allianz Australia

  • Australia
  • Insurance
  • 700 & Above Employee

  • IT Audit Manager

    • Dec 2017 - May 2018

  • Senior IT Auditor (Analyst)

    • Nov 2016 - Dec 2017

    Performed exploration, wrangling and analysis of structured and unstructured data during commenced audits and risk assessments. Carried out end-to-end business and IT reviews which involved designing audit programs, managing stakeholders and team members, crafting and communicating key messages based on factual data, as well as supporting reports with insightful visualisations.

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  VEON

  • Amsterdam Area, Netherlands

  • Global IT Audit Senior Manager

    • Jul 2014 - Sep 2016
    • Amsterdam Area, Netherlands

    Carried out planned and on-demand engagements worldwide individually and involving local resources with a strong focus on data analysis and data governance (including Big Data, Machine Learning, fraud management, revenue assurance, transport network capacity planning, marketing campaign planning, etc.).

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  Societe Generale (multinational banking and financial services company)

  • Moscow, Russian Federation

  • Senior IT Audit Analyst

    • Nov 2011 - Jul 2014
    • Moscow, Russian Federation

    Designed Tech and Data audit programs, executed planned and on-demand audit missions, performed data analysis and hypothesis testing in IT and operational audits.

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  Eldorado LLC (Russia's largest retailer of consumer electronics and household appliances)

  • Moscow, Russian Federation

  • IT Audit Analyst

    • Dec 2009 - Nov 2011
    • Moscow, Russian Federation

    Performed data exploration and analysis, wrangled and concluded on large data sets, issued audit reports and performed follow-ups on recommendations.

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  NaviCon (leading Moscow IT consulting and project management company)

  • Moscow, Russian Federation

  • Consultant (Development and Analytics)

    • Aug 2009 - Dec 2009
    • Moscow, Russian Federation

    Collected requirements, performed development and testing in solutions based on Microsoft Navision.

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  Allianz

  • Moscow, Russian Federation

  • Business Analyst

    • Nov 2008 - Aug 2009
    • Moscow, Russian Federation

    Analysed core business processes of Russian entities and composed technical specifications for the customisation of the SAP system; trained and supported business users.

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  Acronis (a global provider of data protection solutions for private and corporate clients)

  • Moscow, Russian Federation

  • Support Engineer

    • Oct 2007 - Nov 2008
    • Moscow, Russian Federation

    Provided first and second line support to international corporate customers, developed scripts for OEM solutions.