Nooshin H.

Nooshin Hamidian

5.0

(12)

AI & Analytics Coach | Turning Complex Data into Scalable Business Sol

University of Tennessee, Knoxville Logo

Studied at University of Tennessee, Knoxville

FedEx Logo

Works at FedEx

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Nooshin's Offerings

Custom hourly · $175/hr

Get help with AI Automation, AI Fundamentals, and .

Nooshin’s AI for Data & Analytics Qualifications

Experience level: Manager

Welcome to my profile! I bring a combination of deep academic rigor and hands-on industry impact to AI for Data & Analytics coaching. Holding a Ph.D. in Industrial Engineering and more than 6 years of experience solving complex, large-scale problems at FedEx, I have designed and deployed advanced AI/ML models, machine learning systems, and AI-driven solutions that directly improve operational efficiency and decision-making. My work spans the full lifecycle, framing ambiguous business problems, building mathematical and ML models, developing scalable data pipelines, and productionizing solutions with MLOps. Hands-on experience includes developing internal AI chatbots (RAG-based) to unlock enterprise knowledge, as well as consistently leveraging AI for automation and end-to-end workflow optimization across scheduling, planning, and decision systems. Proven impact includes improving predictive performance by up to 40%, enhancing optimization algorithms, and leading cross-functional initiatives that influence enterprise strategy. Strong communication skills enable me to translate highly technical concepts into clear, actionable insights for diverse audiences. Clients can expect not only technical guidance, but also a practical, results-driven approach to thinking critically about data, designing scalable solutions, and delivering measurable business value.

Nooshin can help with:

AI Automation

AI Fundamentals

AI Model Evaluation

Dashboard Creation

Data Cleaning & Prep

Data Pipeline Automation

Data Strategy

Data Visualization

Freelancing

Natural Language Querying

Predictive Analytics

Reporting & Insights

View all of Nooshin’s categories

Work Experience

FedEx Logo

Operations Advisor

FedEx

October 2022 - Present

Interviewer

● Developed and maintained scalable data pipelines and tools in collaboration with developers, facilitating the transformation of big data into insightful, actionable outputs for strategic decision-making during month trip scheduling. ● Developed a Retrieval Augmented Generation (RAG) bot to retrieve information from internal documents, including PDF and PowerPoint (PPT) formats. ● Developed AI-powered automation for flight scheduling and travel itinerary planning. ● Enhanced a heuristic algorithm for identifying FedEx pilot requirements by fiscal year. ● Developed an optimization algorithm to find the optimum vehicle size at each route. ● Developed a fuel consumption forecasting model that captured stage-specific flight dynamics to improve prediction accuracy across all phases of flight. ● Developed Power BI dashboards to monitor ML model performance, enabling agile adjustments to metrics in response to evolving business needs. ● Developed an algorithm to improve at-stop delivery time window with outputs close to optimal solutions. ● Analyzed high-volume data to enable data-driven decision-making and improve efficiency in monthly trip scheduling operations. ● Developed a recommender systems applying neural collaborative filtering model in TensorFlow to recommend trips for pilots in each bidding period. ● Implemented MLOps monitoring process and deployed monitoring data pipelines in Azure to track model performance, product metrics and data quality KPIs post-production. ● Led cross-functional projects that gathered data from diverse sources directly impacting organizational strategies for the number of rentals and annual fleet planning.

FedEx Logo

Operations Advisor

FedEx

May 2021 - Present

Interviewer

● Led a project to find the probability of trip cancelation per bidding period using mathematical modeling and machine learning. ● Leveraged highly imbalanced trip datasets using techniques such as cluster modeling. ● Developed recommender systems to estimate pilots' preferences in bidding periods. ● Evaluated multiple solutions for anomaly detection to estimate the at-stop time window more accurately.

FedEx Logo

Operations Research Analyst

FedEx

April 2020 - Present

Interviewer

● Enhanced accuracy of an existing vehicle recommendation algorithm by 25%. ● Developed a forecasting model to predict the number of Max vehicles On-Road (MOR) and improved the performance by applying stacking machine Learning models such as gradient boosting and random forest. ● Enhanced predictive modeling that outperformed traditional approaches by 40%, using advanced statistical methods and machine learning techniques.

University of Tennessee, Knoxville Logo

Graduate Research Assistant

University of Tennessee, Knoxville

August 2015 - December 2019

Admissions Committee

● Developed a two-stage stochastic MILP model to optimize production planning and operational flexibility. ● Built a correlation-based optimization model for mixed bundling in marketing analytics. ● Implemented a pruning algorithm for large-scale bundling problems that outperformed rule-mining ML approaches. ● Secured and managed $300K+ in DLA-funded supply chain data science projects while leading a team of five graduate students. ● Mentored 40+ international students in Lean Summer Programs across organizations including Denso, Covenant Health, and Kelsan. ● Led experimental design analytics projects to evaluate milk container quality for the Defense Logistics Agency (DLA).

Semester at Sea Logo

ERP Consultant

Semester at Sea

2011 - Present

● Led a 5-member team to deliver supply chain and ERP solutions that improved operational efficiency and customer satisfaction

Education

University of Tennessee, Knoxville Logo

University of Tennessee, Knoxville

Doctor of Philosophy - PhD, Industrial Engineering

Grade: 4.0

University of Tennessee, Knoxville Logo

University of Tennessee, Knoxville

Master's degree, Statistics

Grade: 4.0

Sharif University of Technology Logo

Sharif University of Technology

Master's degree, Industrial Engineering

Khajeh Nasir Toosi University of Technology Logo

Khajeh Nasir Toosi University of Technology

Bachelor's degree, Industrial Engineering

12 Reviews

Overall Rating

5.0


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