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Nicholay Anne Caumeran

@nicholayannecaumeran

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Experienced Data & Analytics professional driving strategic value through data analysis.

Georgia

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What I'm looking for

I am looking for a job that offers a dynamic and collaborative company culture, challenging responsibilities, and opportunities for career growth. I thrive in environments that value data-driven decision-making and provide opportunities to work on diverse projects across industries.

A hands-on and pragmatic data practitioner with 15 years of experience, passionate about leveraging data assets, synthesising the analyses and communicating the insights to drive value and fuel growth for the business. Over the course of my career, I've accomplished the following:

Pioneer Data Science Foundations: My expertise lies in developing practical, value-focused roadmaps and building, training & guiding teams to lay essential groundwork for building robust Data Science capabilities.
Comprehensive Project Leadership: Leveraging my expertise in data integration, development of advanced machine learning models, crafting engaging visualisations & communicating critical insights, I've effectively steered companies & teams in tackling intricate business problems throughout the entire project lifecycle.
Scaling Data Science Impact through Cross-Functional Collaboration: Through collaborating with cross-functional teams, I've spearheaded the adoption of evidence-based strategies, aligning them with organisational objectives to significantly boost the influence and value of Data Science.
Diverse Industry Experience: My extensive experience gained from closely collaborating with teams and organisations across a wide range of industries, including Retail, Financial Services, Technology, Manufacturing, and Hospitality, has enriched my problem-solving capabilities and broadened my perspective.

Experience

Work history, roles, and key accomplishments

Senior Customer Analytics Manager

LANE CRAWFORD

Led a team of 4 members in providing insights to improve or innovate on overall customer experience, inventory management and online/digital retail and operational efficiencies. Team's initiatives are to ultimately drive growth in sales and market share, reduce costs, and improve products, digital assets and services across a variety of areas. Provided customer profiling, spending behaviour, brand

Customer Insights Inventory Management Retail Data Analysis Data Visualization Power BI Digital Analytics

Senior Manager - Risk Assurance Data & Analytics

PwC

Responsible for business development, solution development, and management of Data & Analytics project implementations covering data integration, business intelligence and advanced analytics solutions across different industries -- Financial Services, Retail, Hospitality and Manufacturing. Managed projects on internal audit analytics for different business areas to improve management of risks and

Data Analytics Data Integration Business Intelligence Analytics Financial Services Retail Hospitality Manufacturing

Business Analytics Pre-Sales Lead for Financial Services AMEA

CSC (now DXC TECHNOLOGY)

Led the Pre-Sales for Business Analytics pursuits around CSC’s Insurance and Banking Solutions and Services. Supported sales team in conducting product/solution consultation, demonstration and POCs, providing detailed scope of work, technical specifications and timeline to proposals to prospective clients, conducted business and data requirements and closely liaised with SME’s and delivery team fo

Business Analytics Pre Sales Insurance Banking Predictive Analytics Customer Segmentation

Global Consumer Insights Analyst

INTERCONTINENTAL HOTELS GROUP

Provided insights on key drivers of the overall satisfaction of hotel guests on various touchpoints of their hotel experience, covering ~5,000 hotel properties from 7 IHG brands help to develop and improve brand and business strategies based on consumer behaviour and preferences on hotel and travel products and services based on logistic regression and reduced dimensionality. Provided insights on

Consumer Insights Customer Satisfaction Brand Strategy Market Research Data Analysis Dashboards

Technical Consultant

SAS INSTITUTE

Developed and validated a Corporate Probability of Default (PD) model using logistic regression first and then Pluto-Tasche methodology for Corporate PD Models and Retail PD and LGD (Loss-Given default) models, used as inputs for the Capital Adequacy Ratio calculation. Spearheaded the customisations to localise SAS Risk Engine calculations of SAS Credit Risk Management Solution. Conducted business

Technical Consulting SAS Logistic Regression Credit Risk Management Data Integration

Full-time Parenting

Career Break

Continuously enhancing proficiency in Data Science, Analytics, and Blockchain/Cryptocurrency through proactive upskilling initiatives via online courses and immersive hands-on projects. Dedicates free time to continually refresh and enhance expertise in pivotal & dynamic domains such as Data Strategy, Deep Learning, Uplift Modeling, Cloud Platforms like Azure, and Blockchain Analytics.

Data Science Analytics Cryptocurrency Data Strategy Deep Learning Azure

Associate Director - Risk Advisory CyberSecurity Analytics

DELOITTE

Led and trained a team of 7 members in a cybersecurity data science project with the largest Pan-Asian life insurance company in translation of over 100 threat scenarios into Python codes (PySpark) in Databricks - this was used to alert relevant teams for potential cybersecurity risks. Led source-to-target mapping based on business requirements of structured and unstructured data from 30+ streamin

Cybersecurity Data Science Python Pyspark Databricks Microsoft Azure Power BI Data Visualization

Data Scientist - Global Advanced Analytics

LENOVO

Designed, analysed, assessed and implemented models using multidisciplinary techniques to provide solutions to substantially drive the businesses’ understanding of its market. Led development of tools and applications to present the insights to the internal customer base. Projects included: Forecast model of sales volume based on visits to different marketing channels across the global market. Sta

Data Science Analytics Market Analysis Sales Forecasting Marketing Analysis Predictive Analytics