Sprint AI project

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Theme
Project Goal
◎

Deploy an AI/ML analytics platform for ENEC — under the corporate DAIO 2 (Analytics & AI Program) — that replaces manual, average-based forecasting and reporting with automated, driver-based AI across Finance, Supply Chain, and Outage operations, improving forecast accuracy, cutting manual effort, and accelerating decision-making.

Objectives
1

Finance

Sponsor: CFO

Automate monthly variance analysis and forecasting — replace manual extraction and simple-average forecasting with driver-based AI models and auto-generated variance commentary.

2

Spare Parts

Sponsor: CNO

Forecast demand and optimize inventory / reorder levels via AI/ML integrated with SAP, reducing stockouts and procurement costs.

3

Post-Outage

Sponsor: CNO

Analyze historical outage data to identify root causes and recurring issues, feeding lessons learned into future outage planning across the fleet (C1–C2–C3).

4

Delivery

 

Take each use case from UAT through to Production per the Sprint AI roadmap — Finance Go-Live 4 Sep, Outages 15 Sep, Spare Parts 15 Oct.

5

Foundation

 

Build reusable data foundations (Databricks / Unity Catalog) as part of ENEC's broader Corporate Analytics & AI Program.

ENEC · Data Platform — Technical Delivery

Presight.ai · Reporting Week 30 Jul 2026 · Overall Status At Risk

Delivery Roadmap

Overall progress: —
Completed In Progress At Risk Not Started Milestone
1

Variance Analysis Commentary with Forecasting of Actuals

Business: Finance
Stakeholders: Salma Al Hameli, Ahmed Al Kendi
At RiskGo-Live 31-Aug
2

Material and Spare Parts Procurement Forecasting

Business: Supply Chain
Stakeholders: Jalal Hussain, Mona El Tantawy, Meera Hasan Alhosani
At RiskGo-Live 15-Oct
3

Post-Outage Analytics & Continuous Lessons Learned

Business: Outage
Stakeholders: David Williams, Charles Montana III, Vincent Dietler
At RiskGo-Live 15-Sep
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▼ Team & Org Structure
ResourceRoleAllocationExperienceLocationOnboardingExpire Date
Ivan DoroninProject Manager25%10+ yrsOnsite/Remote (UAE)Cleared27.07.27
Nor Ashid Bin JamilSolution Architect25%10+ yrsOnsite/Remote (UAE)Clearance pending—
Tisha MohammedEngineering Manager15%10+ yrsOnsite (UAE)Clearance pending—
Andrew Danny RajaBusiness Analyst50%6–8 yrsOnsite/Remote (UAE)Cleared—
Pratyaksha RavalSr. Data Engineer100%8–10 yrsOnsiteCleared24.03.27
Abhishek KumarData Engineer100%8–10 yrsOnsite/Remote (UAE)Clearance pending—
Chetan AnandSr. Data Modeler100%8–10 yrsOnsiteCleared02.02.27
Akash GoyalData Science Lead100%10+ yrsOnsiteCleared02.02.27
Shu YuSr. Data Scientist100%7–9 yrsOnsite/Remote (UAE)Cleared30.01.27
Vladislav SheverdaSr. QA Engineer50%7–9 yrsOnsite/Remote (UAE)Cleared—
Nillu SrivastavaBI Developer100%6–8 yrsOnsiteCleared13.08.27
Maryam AlMazroueiSRE Engineer25%5–7 yrsOnsite/Remote (UAE)Cleared—
7.90 Total FTE
12 Headcount
12 Onsite (UAE)
3 Clearance pending
Roles, Responsibilities & Key Skills
Project Manager
IDIvan Doronin25%
Responsibilities: Engagement leadership, scope, schedule, risk, action log, client communications, sprint cadence, status reporting.
Skills: Agile/Scrum, stakeholder management, JIRA/Confluence, vendor governance, AI/ML delivery.
Solution Architect
NJNor Ashid Bin Jamil25%
Responsibilities: End-to-end solution design across data, AI/ML and integration; architecture decisions, NFRs, target-state blueprint.
Skills: Cloud architecture (AWS/Azure), data lakehouse, MLOps, integration patterns, security by design.
Engineering Manager
TMTisha Mohammed15%Clearance pending
Responsibilities: Technical delivery oversight across DE/DS/BI/QA workstreams; unblocks engineers, reviews technical approach, coordinates handoffs between team members, enforces code and data-quality standards, escalates technical risks.
Skills: Technical leadership, software/data engineering background, sprint & delivery management, code/design review, cross-team coordination, stakeholder communication.
Business Analyst
ARAndrew Danny Raja50%
Responsibilities: Requirements elicitation, user stories, process flows, acceptance criteria, UAT coordination.
Skills: BA/SA tooling, BPMN, SQL, JIRA, workshop facilitation, documentation.
Data Engineers
PRPratyaksha Raval100%&AKAbhishek Kumar100%
Responsibilities: Build and operate ingestion, transformation and serving pipelines; data quality, lineage and orchestration.
Skills: Spark, Python, SQL, Airflow, Databricks/Snowflake, dbt, Kafka, CI/CD.
Sr. Data Modeler
CAChetan Anand100%
Responsibilities: Conceptual, logical and physical data models; semantic layer; data dictionary and modelling standards.
Skills: Dimensional & Data Vault modelling, ERwin/Erwin, SQL, metadata management, governance.
Data Science Lead
AGAkash Goyal100%
Responsibilities: Lead model design, experimentation, evaluation and deployment; technical mentoring of the DS team.
Skills: Python, scikit-learn, PyTorch/TensorFlow, MLOps, statistics, GenAI/LLM evaluation.
Sr. Data Scientist
SYShu Yu100%
Responsibilities: Feature engineering, model development, validation and deployment; partner with engineering on productionisation.
Skills: Python, SQL, ML/DL frameworks, experiment tracking (MLflow), feature stores.
Sr. QA Engineer
VSVladislav Sheverda50%
Responsibilities: Test strategy, automation, data and model QA; defect triage and release sign-off.
Skills: PyTest, Selenium/Playwright, API testing, data quality frameworks (Great Expectations), CI/CD.
BI Developer
NSNillu Srivastava100%
Responsibilities: Build dashboards, semantic models and reports; partner with business on KPIs and self-service enablement.
Skills: Power BI / Tableau, DAX, SQL, data modelling, performance tuning.
SRE Engineer
MAMaryam AlMazrouei25%
Responsibilities: Reliability of data & AI services; observability, incident response, infra-as-code and release engineering.
Skills: Kubernetes, Terraform, monitoring stack, Linux, cloud operations, automation scripting.

Source: ENEC × Presight — Project Structure, Sprint AI Program (Team Structure, Roles & Resource Allocation), April 2026.

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