Freelancer profile translated to English.
Back to original languageAbout Evgeniya
Senior data consultant, I support general management, business teams, and data teams in structuring and valuing data to improve operational and commercial performance.
My Offer
1. **Structure data and strengthen governance**: clarify roles between business, IT, and data, formalize cross-functional business repositories, document management rules, ensure data flow reliability, and establish robust steering routines (indicator reviews, consolidated multi-site monitoring, shared dashboards).
2. **Implement simple and effective tools to steer performance**: deploy understandable indicators, design reporting tailored to the needs of field teams as well as general management, create realistic operational forecasts (customer flows, contact volumes, commercial objectives).
3. **Strengthen business ownership of data tools over time**: train managers, demystify reporting, automate critical flows, build practical analysis frameworks for sales, customer relations, and budget steering, embed sustainable data best practices within teams.
Client Examples
- CNPS Côte d’Ivoire: diagnosis of the data function, clarified governance, construction of customer segmentation, low-tech inbound flow forecasting (calls, agency visits), rapid impact on operational visibility and service quality.
- DIEZE: data transition management, team restructuring, standardization of commercial and operational reporting (Power BI), deployment of a lightweight infrastructure manageable internally (PostgreSQL, dbt, Dagster), coaching of analysts and reduction of errors on key indicators.
My Approach
Visible results from the first weeks, a re-alignment of data practices, and immediate operational support to business units.
French
Native or bilingual
English
Fluent
Russian
Native or bilingual
Can work on-site
Grenoble (up to 50km), Paris (up to 10km), Aubenas (up to 10km), Lyon (up to 10km)
Experience
- Peak LabPEAK LAB Logo Mission Director | Data Strategy & Operational Efficiency ConsultingPUBLIC SECTORJanuary 2024 - Today (2 years and 5 months)Grenoble, FranceSectors: public sector, contact centers, specialized retailStrategic and operational consulting in data-driven transformationI support organizations in structuring their data strategy and improving their operational practices, directly linked to business priorities: performance management, commercial efficiency, process optimization, and customer relationship improvement.360° interventions, from diagnosis to field implementation: audit, functional scoping, governance, indicator structuring, team skill development, customer segmentation, flow and reporting automation.Mission examples:
- Data maturity audits (organization, usage, governance, tools)
- Construction of data strategies aligned with operational business challenges
- Creation of clear and usable indicators, from business definition to technical deployment
- Deployment of data literacy programs, cross-functional acculturation of managers and operational staff
- Design of customer segmentation and simple predictive models, with a focus on field impact
Recent projects:CNPS Côte d’Ivoire: comprehensive diagnosis of the data function, governance structuring, multi-profile customer segmentation, indicator scoping, and initial operational forecasting systems.DIEZE: transition management in data, implementation of demand governance, reporting standardization, flow automation (open source stack), regulatory compliance.ILEK: redesign of commercial performance indicators, facilitation of business workshops on customer journey clarity and effective reading of steering data. - SFRHead of Data, Retention and Churn Prevention DepartmentTELECOMMUNICATIONSJanuary 2016 - January 2024 (8 years)Paris, FranceSectors: telesales, customer loyalty, multichannel customer relations (inbound and outbound calls)Scope: 3,000 advisors, 15 campaigns, 10 production toolsCross-functional data manager within the Customer Service Department, I designed and deployed steering and analysis tools to improve commercial performance, optimize operational flows, and support business units towards daily data usage.Key missions:
- Design and deployment of operational KPIs (daily, weekly, monthly), integrated into management rituals
- Multichannel activity forecasting (inbound flows, outbound sales), supported by simple statistical models
- Budget monitoring of discounts, early detection of discrepancies, and finer reallocation of commercial resources
- Individualized steering: contextualized objectives per advisor and management of field performance
- Identification of at-risk profiles (customers or agents), co-management of corrective action plans
- Continuous training of data and business teams in reading and operationally exploiting data
Results achieved:-50% budget overspending on discounts without sales decrease+20% additional sales on certain telesales campaignsReduction of field reporting errors and adoption of new data rituals by managersImproved forecasting accuracy for complex channelsMy approach: produce concrete results on commercial performance and service quality, while enhancing the clarity and operational use of data. - NUMERICABLECustomer Service Datamining Manager (Dataminer)TELECOMMUNICATIONSDecember 2012 - December 2016 (4 years)Champs-sur-Marne, FranceSectors: customer base telesales, loyalty, retention, technical and commercial customer serviceScope: inbound calls, outbound calls, multi-flow steeringOperational data manager, I supervised a team of 3 people dedicated to producing operational indicators, predicting churn, and analyzing customer journeys to improve commercial performance and service quality.Key missions:
- Design and automation of operational steering KPIs for sales and customer relations teams
- Regional churn risk scoring, direct integration into commercial campaigns and local loyalty plans
- Participation in operational quality loops, field analysis of sales and retention performance
- Analysis of customer journeys: identification of typical paths leading to complaints or cancellations
- Identification of breaking points in the journey (repeated contact, unmanaged multichannel usage), with recommendations to business teams
- Reactive analytical support through ad hoc analyses for operational teams
Results achieved:Improved operational targeting through regional churn score, better prioritization of retention campaignsReduction of customer repeat contacts through multi-channel journey analysisReliable operational reporting, rapid adoption by sales and customer service managersBetter understanding of customer irritants, integrated into field quality meetingsMy approach: provide clear tools for commercial and customer service management, produce simple but useful predictive analyses, and link data to concrete field actions.
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Education
- Data Scientist, Data scienceDataScientest.com Mines ParisTech PSL Executive Education2022Data Scientist, Data science
- Certification Data ScientistEcole Polytechnique Executive Education2018Certification Data Scientist