Data Analyst · BI Analyst · Energy Analytics

ShubhamPandey

Power BI · Python · SQL · Renewable Energy Markets

10+ years across renewable energy forecasting & scheduling, open access, DSM accounting and power trading — turning raw generation and market data into dashboards, KPIs and decisions that protect revenue and improve asset performance.

Shubham Pandey
Scroll

About Me

Energy Data, Made Decision-Ready

I'm a data and BI analyst working in the renewable energy sector — forecasting & scheduling, open access, DSM accounting and settlement, and power trading support for wind and solar generators. My day-to-day is real-time operational data: cleaning it, modelling it, and putting it in front of the people who act on it.

I build Power BI dashboards and automated reporting pipelines with Power Query, Python and SQL, and I'm currently deepening my data engineering stack with Microsoft Fabric (DP-600 and DP-700 in progress) — lakehouse, dataflows, pipelines and medallion architecture. Next on the list: BESS and green hydrogen.

10+

Years of Experience

50+ GW

Portfolio Analysed

15%

Forecast Accuracy Gain

30%

Manual Effort Reduced

Skills

Tools I Build & Deliver With

Business Intelligence

Power BIData VisualizationKPI DevelopmentDashboardingData Storytelling

Data & Engineering

Python (Pandas, NumPy)SQLPower QueryETL / ELT PipelinesData ModellingMicrosoft Fabric

Energy Market Analytics

Forecasting & SchedulingDSM AccountingOpen AccessPower Trading (IEX)Captive ManagementRegulatory Compliance

Domain Tools

EMSSCADAETAPPV-SystAutoCADMATLABAdvanced Excel

Experience

A 10+ Year Journey

  1. Assistant Manager – Analytics (Energy & Market Operations)

    Gentari India, Gurgaon

    Sep 2025 – Present

    Leading data-driven forecasting, scheduling and open access operations for wind and solar assets using real-time datasets — tracking KPIs, managing DSM and deviation analytics, and driving data standardization on modern platforms like Microsoft Fabric.

    Forecasting & SchedulingDSM AnalyticsOpen AccessKPI TrackingMicrosoft Fabric
  2. Deputy Manager – Energy Analytics & Trading

    Kreate Energy, New Delhi

    Nov 2019 – Aug 2025

    Built Power BI dashboards tracking generation trends, forecast accuracy, DSM impact and revenue across a 50+ GW portfolio; automated reporting with Power Query (−30% manual effort) and improved forecasting accuracy by 15%.

    Power BIPower QueryIEX BiddingData CleaningReporting Automation
  3. Project Engineer (Contract)

    NTPC / IOCL Projects (NBPPL & EIL)

    2017 – 2019

    Contributed to large-scale power and refinery projects, gaining exposure to operations, data capture and structured project reporting processes.

    Project EngineeringOperationsReporting
  4. Assistant Engineer – Wind Operations

    Wind World India Ltd., Mumbai

    Jul 2013 – May 2016

    Used data analysis to improve wind farm productivity by 25%, producing MIS reports and running trend analysis, benchmarking and root cause analysis on operational performance data.

    Wind OperationsMIS ReportingTrend AnalysisRoot Cause Analysis

Portfolio

Selected Work

Analytics and reporting built for real energy operations — with measurable outcomes.

Power BI · Renewables

Generation & Revenue Performance Dashboard

Kreate Energy

A single Power BI model tracking generation trends, forecast accuracy, DSM impact and revenue across a 50+ GW portfolio — replacing scattered spreadsheets with one governed daily view for commercial and operations teams.

View details
Power BIData ModellingDSMRevenue Analytics

Automation · Power Query

Automated Reporting Pipeline

Kreate Energy

Rebuilt manual Excel reporting as a Power Query pipeline with repeatable cleaning, validation and transformation steps — cutting manual reporting effort by 30% and removing a recurring source of keying errors.

View details
Power QueryETLData ValidationWorkflow Automation

Forecasting · Wind & Solar

Forecast Accuracy Improvement Programme

RE Generator Portfolio

Analysed historical generation and deviation data to identify systematic forecast bias by site and time block, feeding corrections back into the scheduling process and improving accuracy by 15%.

View details
ForecastingPythonDeviation AnalysisTime-Block Analytics

DSM · Settlement

DSM Accounting & Deviation Analytics

Multi-Site RE Portfolio

Structured DSM accounting and settlement data into a reconcilable model — surfacing deviation penalties by asset and period so commercial teams could target the sites driving financial leakage.

View details
DSM AccountingSettlementReconciliationFinancial Optimisation

Power Trading · IEX

Power Exchange Bidding Insights

Kreate Energy

Data-backed bidding support for IEX day-ahead and real-time markets — price and volume trend analysis paired with portfolio availability to inform bid strategy.

View details
IEXMarket AnalyticsPrice TrendsBid Strategy

Open Access · Captive

Open Access & Captive Allocation Tracking

Gentari India

Coordinated captive power allocation for open access projects with tracked regulatory timelines — keeping allocation, banking and grid connectivity compliance auditable across sites.

View details
Open AccessCaptive AllocationRegulatory ComplianceEnergy Banking

Microsoft Fabric · Learning

Lakehouse & Medallion Architecture Build-Out

Self-Directed (DP-600 / DP-700)

Hands-on Microsoft Fabric work — dataflows, lakehouse tables, pipelines and Power BI integration structured as Bronze / Silver / Gold layers, as preparation for DP-600 and DP-700.

View details
Microsoft FabricLakehouseDataflows Gen2Medallion Architecture

Wind Operations

Wind Farm Productivity Analysis

Wind World India

Performance benchmarking and root cause analysis across turbines using operational and SCADA data, driving a 25% improvement in wind farm productivity.

View details
SCADABenchmarkingRoot Cause AnalysisMIS

Microsoft Fabric · Retail

Unified Commerce Analytics Platform

North Meridian Retail Group

A Bronze–Silver–Gold Fabric Lakehouse replacing a five-join 3NF warehouse — metadata-driven batch and incremental ingestion, PySpark curation, and a pre-aggregated Gold star schema served to Power BI in Direct Lake mode.

View details
Medallion ArchitectureStar SchemaPySparkSurrogate KeysPower BI Direct Lake

Microsoft Fabric · Retail Inventory

On-Premises PostgreSQL Migration to Fabric Lakehouse

RetailCore Ltd

Replaced a fragile daily CSV export with a gateway-secured Fabric pipeline that copies the full PostgreSQL inventory snapshot into a governed Lakehouse Delta table — overwrite loads, schema enforcement and a timestamped audit record per run.

View details
On-premises Data GatewayPostgreSQLCopy DataDelta TableAudit Logging

Microsoft Fabric · Market Risk

Market Risk Intelligence Feed — FX Rate Ingestion & Backfill

Global Credit Corp

Replaced manually keyed spreadsheet FX rates with a warehouse-native Fabric feed — REST API calls, T-SQL OPENJSON parsing, and an idempotent stored procedure that supports safe replay and historical backfill.

View details
Fabric WarehouseREST APIOPENJSONT-SQL Stored ProcedureIdempotent Load

Microsoft Fabric · Finance

Financial Data Transformation Using PySpark & Delta Lake

Global Corp

Re-engineered a two-hour AR aging join into a minutes-long Fabric notebook — broadcast joins to kill the shuffle, strict Delta schemas to block corrupted currency values, and Time Travel plus RESTORE for one-command recovery.

View details
Delta LakePySparkBroadcast JoinSchema EnforcementTime Travel

Microsoft Fabric · Telecom

Enterprise Data Trust Transformation via Dataflow Gen2

TelcoPrime

A low-code Dataflow Gen2 quality layer for Customer 360 — governed lookup tables standardizing states and address suffixes, validated phone formatting, an engineered Data Quality Flag, and a trusted Silver table refreshed daily.

View details
Dataflow Gen2Power Query MLookup Reference TablesData Quality FlagSchema Enforcement

Microsoft Fabric · Consulting

Workforce Intelligence Engine

Innovate Solutions

Bronze-to-Silver Fabric pipeline moving Azure SQL HR data into a governed Lakehouse — quarantining invalid rows, deduplicating employees, and enriching with department context for trusted workforce analytics.

View details
Fabric LakehouseBronze / SilverPySparkQuarantineReconciliation

Microsoft Fabric · Public Sector

Intelligent Landing Zone Orchestration — Dynamic Routing Framework

City of Metropolis

One metadata-driven Fabric router pipeline that classifies datasets by configuration, loads valid files into the Bronze Lakehouse, quarantines the invalid, archives the processed — and leaves an empty inbox every cycle.

View details
Fabric PipelineGet MetadataForEach / SwitchBronze LakehouseQuarantine & Archive

Microsoft Fabric · Logistics

Incremental Data Ingestion Pipeline

Global Freight Forwarders

Watermark-driven Fabric pipeline that detects new shipment JSON files, loads only incremental records into a governed Delta Lake ShippingLogs table, and advances its own state per run.

View details
Fabric PipelineDelta LakeWatermark TableLookupCopy Data

Microsoft Fabric · Real Estate

Global Listing Intelligence Initiative

Grandeur Properties International

Replaced 24–48 hour manual CSV consolidation across London, Dubai and New York with an automated, governed Fabric Lakehouse pipeline delivering trusted data by 7:00 AM.

View details
Fabric LakehouseCopy DataWildcard IngestionUpsertGovernance

Databricks · Analytics

Databricks Lakehouse Programme

Coming soon

A governed Databricks lakehouse program covering medallion architecture, Delta Live Tables, and Unity Catalog — details and metrics to follow.

View details
Delta LakeDelta Live TablesUnity CatalogWorkflowsSQL Warehouses

Contact

Let's talk energy data.

Open to data analyst, BI and energy analytics roles — especially with renewable generators and developers. Reach out and I'll get back within a business day.

Email

shubhampandey11aug@gmail.com

LinkedIn

https://www.linkedin.com/in/shubhampandey08/

GitHub

https://www.linkedin.com/in/shubhampandey08/
Owner sign in