Hi, my name is

Isfar Hassan.

I build data systems for real operations.

I’m a business intelligence and software professional focused on transforming complex operational data into reliable reporting, automation, and decision-support systems. I work across Power BI, PostgreSQL, APIs, and production software.

See my work

01. About Me

I work at the intersection of business intelligence, software engineering, and operations. My job is rarely just to make a dashboard — it’s to make the underlying data dependable enough that people can actually use it to make decisions.

I’ve built and supported reporting across operations, accounting, executive analytics, mobile applications, and internal software platforms. I’m especially interested in systems where data quality, performance, and business context matter as much as the front-end visualization.

Technologies I use regularly include:

Power BI / DAX / Power Query
PostgreSQL / SQL
Python
C# / ASP.NET Core
Vue / Quasar
Git / GitHub

22M+

historical records analyzed

3+ yrs

BI & data automation experience

End-to-end

requirements → deployment → production support

02. Where I’ve Worked

R2Q Operating

Intelligence & Data Automation Analyst @ R2Q Operating (Former Texas Energy)

2023 — Present · Dallas, TX

Own BI delivery from business requirements through data modeling, dashboard development, deployment, refresh monitoring, and production support.
Automate recurring operational and performance reporting, reducing manual preparation and creating more consistent business metrics.
Restore reporting after application and database changes by tracing schema changes, missing fields, moved historical data, gateway issues, connectivity problems, and query bottlenecks.
Build data-quality and discrepancy workflows across operational source systems to catch problems before they reach management reporting.
Design targeted extraction and reconciliation approaches for historical datasets exceeding 22 million records.

ISite Energy Technologies

Business Intelligence Developer @ ISite Energy Technologies, LLC

Aug 2019 — Present · Dallas, TX

Build automated production-monitoring and data-quality solutions to identify anomalies, missing records, allocation discrepancies, production declines, and reporting inconsistencies.
Develop ASP.NET Core / C# APIs and backend services that expose production data for internal applications, reporting platforms, and mobile solutions.
Support internal iOS and web applications used for production surveillance, operational reporting, and executive decision-making.
Integrate and standardize data across databases belonging to multiple sister companies, enabling consistent cross-company reporting and analytics.
Automate recurring reporting and data workflows to reduce manual preparation and improve data availability and reliability.
Work directly with operations, accounting, engineering, development, and executive stakeholders to translate business requirements into dashboards, reports, APIs, and internal software solutions.

03. Some Things I’ve Built

Featured Project

Operations Data Platform & BI Ecosystem

Supported analytics for an internal operations platform that brings together production, asset, workflow, and field data. I owned downstream BI integrations, schema-change impact analysis, gateway recovery, and reporting reliability.

Power BI
PostgreSQL
ASP.NET Core
Vue / Quasar
ODBC

Featured Project

Executive Production Analytics App

Designed a read-only executive analytics experience combining daily KPIs, trends, top movers, and alerts across multiple production data sources using normalized reporting views and APIs.

Swift
REST APIs
PostgreSQL
Materialized Views
Operational Analytics

Data Quality

Data Quality & Reconciliation Workflows

Built validation workflows that compare operational source systems and reporting datasets so inconsistent records can be identified before they reach management and executive reporting.

SQL
Power BI
Data Quality
Reconciliation

Analytics Engineering

Production Forecasting & Economic Evaluation Workflow

Built a multi-source analytics workflow to screen comparable assets, reconstruct historical production, reconcile conflicting records, and prepare decline forecasts and economic evaluation inputs.

Python
PostgreSQL
External Industry Data
Forecasting
Large Datasets

Other Noteworthy Work

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Conversational Digital Human — UT Southwestern Medical Center

Built a research pipeline connecting speech recognition, large language models, text-to-speech, facial animation, Unreal Engine, and browser-based streaming for a UT Southwestern Medical Center collaboration.

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Power BI Gateway Recovery

Diagnosed production refresh failures involving data-type mismatches, missing database objects, memory pressure, connectivity issues, and changes to historical data sources.

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University Tutoring Appointment System

Designed a normalized relational database with scheduling workflows, data-integrity rules, forms, and application-oriented data modeling.

04. What’s Next?

Get In Touch

I’m open to BI development, analytics engineering, data automation, and software opportunities. If you’re working on a problem where operational data needs to become more reliable, useful, or scalable, I’d be glad to talk.

Say Hello