Daniel Keder

Finance background. Data-driven delivery. Practical AI.

I work at the intersection of finance, reporting, project delivery and practical AI-assisted automation. My background is multinational finance and transformation; my recent projects show how I use data and modern tooling to move from data to actions.

$1bn Dell business unit reporting scope

Power BI modernization and reporting portfolio migration.

100% collection and 10-day DSO reduction

Improved cashflow in LG Gulf across Dubai and the wider Gulf operation.

$0 accounts receivable write-off

Best-practice risk management result for LG Electronics in the MEA region.

10% IT OPEX savings

Zero-based cost methodology in Mondelez finance planning and control work.

Target profile

Four useful ways to read my background.

Finance / Controlling

Finance Transformation

Multinational finance background across controlling, OPEX planning, receivables, risk management and executive reporting.

Managed finance and reporting work across Dell, Mondelez, LG Electronics Gulf FZE and HP, including cost control, forecasting and governance documentation.

  • Controlling
  • Budgeting
  • Forecasting
  • OPEX
  • Risk controls
  • Executive narratives

Data / Reporting

BI & Reporting Modernization

Turned Excel-heavy reporting into more secure, automated and stakeholder-friendly Power BI reporting.

Led reporting migration for a $1bn Dell business unit, replacing manual weekly reporting with profile-based dashboard access.

  • Power BI
  • Advanced Excel
  • Salesforce data
  • Oracle data
  • Data definitions
  • Access governance

Requirements / Projects

Business Analysis & Delivery

Translate business needs into requirements, user stories, acceptance criteria, testing and rollout support.

Worked between finance, IT, sales, operations and developer teams; used Jira and Confluence across reporting and software/game production contexts.

  • Requirements
  • User stories
  • UAT
  • Jira
  • Confluence
  • Training

Personal Builds

AI-Assisted Data Tools

Builds practical finance/data tools with AI-agent collaboration while keeping numerical outputs grounded in deterministic data sources.

Personal projects include portfolio analytics, broker/API workflows, Streamlit dashboards, DuckDB/SQLite data stores and options strategy backtesting.

  • Python
  • Streamlit
  • DuckDB
  • SQLite
  • Broker APIs
  • Agent orchestration
  • Codex
  • Antigravity

How I work

Practical, data-driven, low theatre.

Measure what matters.

Separate signal from noise.

AI will transform everything, but we need to get it right.

One good dashboard replaces 100 meetings.

Selected projects

Work that shows the pattern.

The point is not that each project is a commercial product. The point is the same across them: define the problem, find and structure the data, turn it into a clear business story, and use AI where it actually helps.

Professional work Delivered

Reporting Portfolio Transformation

Migration of a legacy, Excel-heavy reporting portfolio into secure, automated Power BI reporting for Dell Storage and Servers.

Reduced manual reporting work, improved access control, and gave senior stakeholders clearer views of program revenue, pipeline and sales activity.

  • Power BI
  • Advanced Excel
  • Salesforce
  • Oracle
  • Jira
Personal project Active local system

Optitrader

A local Streamlit portfolio analytics and AI-assistant system for multi-broker portfolio tracking.

Consolidates broker data, portfolio history, daily snapshots, FX handling and AI-assisted portfolio Q&A around deterministic tools.

  • Python
  • Streamlit
  • SQLite
  • Schwab API
  • IBKR Flex
Personal project Research / validation

Optitrader 2

A strategy validation environment for testing pre-earnings options ideas before considering them for live decision support.

Turns a trading idea into a controlled data and validation workflow with quote-quality checks, sensitivity testing and reproducible backtest outputs.

  • Python
  • Streamlit
  • DuckDB
  • ThetaData
  • Monte Carlo
Personal workflow In use

CV & Job Application Automation

A structured workflow for screening job leads, maintaining a conservative master profile and generating tailored application materials.

Keeps job applications grounded in confirmed facts, reduces repetitive tailoring work and makes role-fit reasoning easier to review.

  • Python
  • YAML
  • Markdown
  • DOCX templates
  • HTML export
Next project In development

Stock Screener

A planned stock and option opportunity screener for turning market data into a manageable shortlist.

Intended to combine financial filters, event context, risk constraints and explainable ranking into a daily research workflow.

  • Python
  • Market data APIs
  • Streamlit
  • Screening rules
  • Watchlists

Career base

The professional context behind the projects.

Project Lead / BI Digital Transformation

Dell

Product-owner style reporting transformation across finance, IT, sales and operations stakeholders; Power BI migration, requirements, UAT, training and production support.

Controller

Dell

Financial control for new server platforms, inventory, OPEX and platform cost data used by pricing and product teams.

Producer / Agile Project Manager

Pixel Federation

Cross-functional software/game production, practical Scrum delivery, Jira planning and executive reporting.

Finance Manager

Mondelez

IT spend OPEX planning, budgeting, forecasting, cost controls and leadership reporting for a $200M organization.

Finance & Credit Manager

LG Electronics Gulf FZE

Receivables, collections, credit risk, bank payment structures and finance governance during a difficult market period.

Financial Analyst

Hewlett Packard

Finance analyst foundation across HP roles in Slovakia and Dubai.

Contact

Based in Bratislava. Open to relevant Slovakia-based roles.

Finance transformation, reporting modernization, business analysis, project delivery, and roles where business context and practical data tools need to meet.

daniel@keder.ai