Operations & Strategy

I approach every business like an owner.

Business operations and strategy analyst focused on creating value, knowing what’s worth measuring, and making decisions that build on each other.

About

I’m Ifeoma Ozoede, a business operations and strategy analyst based in Chicago, working at the seam between the analytical and operational sides of how companies grow. I studied Business Information Systems, and Information Systems. The pairing wasn’t a master plan, but it clarified something for me: I’m far more interested in what the numbers mean than in the machinery that produces them. I’m comfortable working in Python and R, but what pulls me in is the layer on top: how value gets created, what’s worth measuring, and what a business should actually do differently as a result.

What drives me is ownership in the real sense: understanding how things actually create value, how they get built and managed well, and how a good decision today turns into something bigger later.

Education

MS, Information SystemsDePaul University · 2026 · GPA 3.72
BSc, Business Information SystemsOregon State University · 2023

Involvement

Private Equity & Venture CapitalStudent member · DePaul
Information Systems Student OrganizationMember · DePaul

Experience

Business Office Assistant — DePaul Family & Community Services

Nov 2024 — Jun 2026

Behavioral health provider serving children, teenagers, and families.

  • Served as first point of contact for prospective clients, answering service enquiries and referring people to other providers when the clinic couldn’t meet their needs.
  • Scheduled intake consultations with specialists, coordinated confirmations with clients, and entered their information into the healthcare system for clinical use.
  • Maintained HIPAA-compliant operational data with 99% accuracy in Excel, supporting clinical and administrative decision-making across departments.
  • Supported billing and revenue operations by managing monthly invoicing, payment tracking, and the tracking and validation of health insurance claims.
  • Maintained structured datasets and documentation to support compliance, reporting accuracy, and audit readiness.
  • Collaborated with clinical and administrative stakeholders to identify workflow gaps and improve process efficiency, data organization, and cross-functional coordination.
  • Streamlined interdepartmental workflows by documenting requirements and updating process guidelines, improving operational clarity and coordination.

Product Strategy Intern — One Life Ventures LLC

Jun 2025 — Jul 2025

Strategy work at the earliest stage, alongside a founder building a pre-launch product.

  • Supported product and business strategy for a pre-launch wellness app by analyzing user needs, market trends, and competitive positioning.
  • Conducted competitive and market analysis to inform feature prioritization and early go-to-market decisions.
  • Translated research insights into product briefs and strategic documentation used for internal planning and launch readiness.
  • Collaborated directly with the founder and product and marketing teams on feature prioritization, testing iterations, and growth strategies.

Data Inventory Specialist — UST (Contract)

Dec 2023 — Aug 2024

Operations and data governance at scale, supporting Intel’s asset management across global teams.

  • Supported enterprise operations and governance by managing and analyzing 1,000+ daily assets across global teams using Jira and ServiceNow.
  • Analyzed large inventory datasets (1,000+ rows daily) using Excel and Power BI to support operational reporting and decision-making.
  • Performed weekly compliance and inventory audits, identifying discrepancies and resolving issues ahead of audit deadlines.
  • Maintained detailed documentation of asset movement and workflows to ensure process transparency and audit readiness.
  • Achieved 100% SLA compliance for internal support tickets, preventing workflow delays and improving reporting accuracy.

Project Assistant — Oregon State University

Sep 2022 — Mar 2023

Communications and media support for the university’s pre-college education programs.

  • Maintained frequent engagement across the program’s social media platforms by organizing, monitoring, and writing posts.
  • Worked with others to create, produce, and distribute media and program materials.
  • Contributed to the website’s content, organization, and upkeep.
  • Documented program events with photos, videos, and written summaries for distribution to participants and program records.

Projects · Selected Work

Stockscribes — Pharmacy Stock Ordering Platform

Prototype

Solo · Python · SQLite · JavaScript

A family-owned pharmacy in Lagos, Nigeria was ordering all of its stock by phone, calling each wholesaler in turn to ask what was available and at what price. There was no way to compare suppliers, no visibility of expiry dates before delivery, and no record of what had been agreed. Stockscribes replaces that with a single shared catalogue: pharmacy staff search by product or generic name and see every supplier’s price, stock and expiry side by side, with short-dated batches flagged since they are priced lower. The decision that shaped the architecture was making suppliers users of the system rather than records in it. They sign in and maintain their own listings, which costs them less time than answering the same calls and gives the pharmacy live pricing without manual upkeep. Built end to end (schema, backend, interface, deployment) in Python with no frameworks, using AI as a build partner. A working prototype with sample data, not yet in daily use.

Try the live demo →

BI-Driven Customer Personalization — Business Case

Group · Strategy · Financial modeling

An e-commerce company sitting on customer data it couldn’t use: browsing, CRM, and purchases trapped in three disconnected systems. My piece was the planning and financial backbone of the business case to fix it: a roughly $275K first-year budget broken out line by line, an 18-month phased rollout, a risk register with mitigations, the assumptions behind a six-figure investment decision, and the dimensional data model underneath the reporting layer.

Read the business case →

Chicago Airbnb Price Analysis

Solo · R · Multiple regression

If you’re pricing an Airbnb in Chicago, two things actually move the needle: what kind of space it is and where it sits. The review count hosts agonize over barely matters. I got there by building up five regression models across ~6,300 listings, layering in location, reviews, and availability, then log-transforming price to handle the skew from luxury outliers. Room type and neighborhood were the real levers. The point isn’t the R². It’s knowing which factors deserve a host’s attention, and being honest about the ~60% the data can’t explain.

Read the full analysis →

Renewable Energy & Weather Analysis

Group · R · Regularized regression

Renewable energy output turns out to be genuinely predictable from weather, and solar conditions dominate everything else. On a dataset of 100,000+ observations, the response was heavily skewed and the weather variables were tangled together, so I square-root-transformed the response and used regularized regression (Ridge, LASSO, Elastic Net), which is built for correlated predictors like these. Tuned with cross-validation, Elastic Net predicted about 85% of the variation in energy change, with solar irradiance the standout driver, the kind of signal that makes supply easier to plan around.

Read the full study →

Skills

Analysis & Modeling

  • Regression analysis (R)
  • Exploratory data analysis
  • Business case development
  • Budget modeling

Data & Tools

  • Excel
  • SQL
  • Python
  • Tableau
  • Power BI
  • Jira & ServiceNow

Business & Operations

  • Process improvement
  • Data validation
  • Requirements documentation
  • Stakeholder coordination

Building with AI

  • Prototyping and shipping
  • Research and synthesis
  • Workflow automation

Contact

Always happy to talk operations, strategy, or a good idea someone’s trying to build.

Reach me here: sylviaifeomaozoede@gmail.com

Chicago, IL LinkedIn GitHub