I can help you conduct decision analysis using Excel/R/Python/Simio
- 4.8
- (5)
Project Details
Why Hire Me?
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I combine analytical expertise with practical business insight to offer powerful decision analysis using tools like Excel, R, Python, and Simio. Whether you're optimizing operations or evaluating strategic choices, I ensure each model is tailored, tested, and decision-ready.
What Sets Me Apart:
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7+ years of experience in decision analysis across industries
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Skilled in probabilistic modeling, simulation, and optimization
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Advanced proficiency in Simio for system dynamics and process flow modeling
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Deep understanding of how to transform raw data into actionable decisions
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Ability to integrate multiple data sources for holistic analysis
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Commitment to confidentiality, clear communication, and timely delivery
What I Need to Start Your Project
To deliver effective and customized decision analysis, I will require the following:
1) Project Scope & Decision Objectives
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A brief summary of the business problem and decisions being considered
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The outcomes you expect to evaluate or compare (e.g., cost, time, risk, revenue)
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Any constraints or non-negotiable conditions in decision-making
2) Data Inputs
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Relevant datasets or access to systems that provide the necessary inputs
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Format: CSV, Excel, SQL extracts, or structured JSON
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Description of each variable and how it impacts decisions
3) Preferred Tools & Methods
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Your preference among Excel, R, Python, or Simio
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If simulation is needed: details on process flows, events, and resource constraints
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If optimization is needed: objective function and constraint definitions
4) Decision Modeling Requirements
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Whether a decision tree, payoff matrix, Monte Carlo simulation, or custom model is expected
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Specific variables for sensitivity analysis or risk modeling
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Timeline granularity (e.g., daily, monthly, quarterly)
5) Output & Delivery Format
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Preference for report structure (slide deck, PDF report, interactive dashboard)
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Charts, diagrams, or tables needed to explain the decision outcomes
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Required depth of explanation (executive summary vs. technical report)
6) Communication & Confidentiality
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Channels you prefer for communication and feedback loops
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Any NDA or confidentiality agreement (I adhere strictly to data security protocols)
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Milestones and check-in dates for feedback or approvals
Portfolio
Decision Tree Analysis in Excel: Optimizing Supplier Selection Under Uncertainty
This project used Excel to build a decision tree evaluating supplier options under demand and delivery uncertainty. Expected monetary values guided optimal sourcing strategy.
Simulating Emergency Department Capacity Using Simio for Staffing Optimization
Using Simio, this project modeled patient flow, triage, and bed utilization in an emergency department to evaluate staffing schedules and reduce patient wait times through scenario-based decision analysis.
Startup Profitability Forecasting Using Monte Carlo Simulation in Python
This Python-based decision analysis used Monte Carlo simulation to model monthly revenue, cost volatility, and funding constraints for a tech startup. The simulation helped assess cash flow risk and funding adequacy over a 12-month horizon.
Process
Customer Reviews
5 reviews for this Gig ★★★★★ 4.8
I had no idea what Simio was but he walked me through the whole thing. really useful for my logistics problem. dashboard he gave made it easy for my team too
he helped with sensitivity analysis in R for my business case. response time was quick and gave nice summary at the end. some visuals could be more colorful tho
very sharp with excel models. built a decision tree for my cost control issue and it worked out better than my expectations
used python for my decision model and the what-if scenarios were really helpful. bit hard to understand the first script but he sent comments in the code too
he helped me build a simulation model in Simio for our factory process. it was complex but he explained each step clearly. took 2 revisions but we got great results






