ADIL BARAN NARIN Phone: 914-***-**** Email: adjkqb@r.postjobfree.com

LinkedIn: www.linkedin.com/in/BaranNarin

EDUCATION

M.S. Industrial Engineering/Operations Research - University at Buffalo, SUNY, USA August 2019 - May 2021

(GPA - 3.96/4.00)

B.S. Industrial Engineering - Istanbul Bilgi University, Turkey September 2013 - June 2018 PROFESSIONAL EXPERIENCE

Data Science Intern at ISmile Technologies, Chicago, IL, USA July 2020 - August 2020

• Leveraged the supervised and unsupervised machine learning algorithms such as Regression, Classification, and Clustering.

• Implemented algorithms for customer segmentation, churn, and spend prediction using Python and R.

• Used Microsoft Azure DevOps and Google Cloud Platform for the development and deployment of machine learning models. Operations Intern at Zipcar Turkey, Otokoc Automotive Industry and Trade Inc., Istanbul, Turkey February 2018 - May 2018

• Investigated customers/members and reservations data sets to classify customers according to their behaviors.

• Enforced supervised statistical learning techniques to determine customer churn according to the company’s loyalty threshold.

• Determined the customer churn predictions for each customer and designed sales strategies to prevent possible churn.

• Programmed with R programming language to implement algorithms for customer behavior analysis and churn prediction. Production Planning Intern at BMC Automotive Industry and Trade Inc., Izmir, Turkey July 2017 - August 2017

• Worked on production planning, scheduling for the production line of busses and founded an efficient production plan.

• Established the production capacity and decreased the cycle time of the production to improve overall production capacity. Production Intern at Sunny Atmaca Co., Istanbul, Turkey June 2016 - September 2016

• Operated and decreased the cycle time of the last assembly line of televisions by eliminated the bottleneck stations.

• Monitored and optimized the production line of small home appliances by closely examining the integration of parts. RESEARCH EXPERIENCE

University at Buffalo Department of Industrial and Systems Engineering August 2020 - Present Advisor: Dr. Rajan Batta

Title: UAV Search Optimization for Recording Moving Targets

• Submitted to the IISE Annual Conference & Expo 2021. University at Buffalo Department of Industrial and Systems Engineering March 2020 - December 2020 Advisor: Dr. Sayanti Mukherjee

Title: A Robust Data - Driven Framework to Evaluate and Predict County Health Status Leveraging Statistical Learning

• Submitted to the Society for Risk Analysis (SRA) Conference and accepted to be presented in December 2020.

• Leveraged the state-of-the-art parametric and non-parametric learning algorithms to model the relationships between health outcomes and health factors, identifying the key factors affecting the health outcomes. University of New Haven, Department of Industrial Engineering August 2017 - September 2017 Advisor: Dr. Ridvan Gedik

Title: Assessing the Impacts of Manifold Distances on Dynamic Facility Location: Dynamic Manifold Facility Location Problem

• Oral Presentation; 39th Operations Research/Industrial Engineering National Congress, Baskent University, Department of Industrial Engineering, Ankara/Turkey, 06/2019

• Determined and visualized the facility locations according to the decisions as the demand pattern increasing, steady and decreasing. PUBLICATIONS

• Adil Baran Narin, Rajan Batta; “UAV Search Optimization for Recording Moving Targets”; 2021 May; (manuscript in preparation)

• Adil Baran Narin, Zhiyuan Wei, Sayanti Mukherjee; “A Robust Data - Driven Framework to Evaluate and Predict County Health Status Leveraging Statistical”; 2020 December; (to be submitted) PROJECTS

Data Science/Analytics Predicting Number of Off Periods Per Week for Parkinson Disease’s Patients. Fall 2019

• Oral Presentation; ISE Department at the School of Engineering and Applied Sciences Graduate Student Poster Competition, University at Buffalo, SUNY.

• Performed regression methods in R for comparing the results are as follows: Multiple Linear Regression, Ridge and Lasso Regression, MARS, GAM, Subset (Best, Backward, Forward), Tree-Based Methods (Regression, Bagging, Random Forest, Boosting). Six Sigma & Performance Improvement at Jamba Juice Campus Dining Service in University at Buffalo Fall 2019

• Applied the DMAIC method in identifying process variation and efficient increase of six sigma level of process from 2.85 to 3.44.

• Enhanced the franchise performance and reduced the lead time to assist the end-user in fastest possible manner. Customer Behavior Analysis and Churn Prediction for Zipcar (Senior Design Project) Fall 2017 - Spring 2018

• Employed supervised statistical learning models such as logistic regression, random forest, boosting to predict churn probability.

• Identified top loyal customers and top risky customers to achieve effective sales strategies for preventing possible churn. TECHNICAL & LANGUAGE SKILLS

• R, Python, Panda, NumPy, Gurobi, Tableau, Power BI, SQL, Java, IBM-CPLEX, Fusion 360, Minitab, HTML, ARENA, GAMS, MS Office

• Turkish (native), English (proficient), German (Pre-Intermediate) RELEVANT COURSE WORK

• Linear Programming, Stochastic Modelling, Discrete Optimization, Applied Stochastic Methods, Predictive Modelling & Data Analytics, Simulation & Stochastic Methods, Supply Chains & Logistics, Operations Management, Quantitative Statistics, Six Sigma Quality.

CERTIFICATIONS & WORKSHOP

• MITx: Management in Engineering I

• MITx: Supply Chains for Manufacturing: Inventory Analytics

• GTx: Computing in Python by

• Coursera: Introduction to Negotiation by Yale University

• UB: SEAS 360 Certificate of Professional Development

• Digital Manufacturing Laboratory 3D Printing Workshop ACTIVITIES & SOCIETIES

• UB INFORMS

• Leaders from Bilgi University Club

• Industrial Engineering and Operations Research Club

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