Dr. Ramin Khavarzadeh


A Summary of My Activities

My Resume and Experiences

Digikala

Marketing Director


2023 - Now

Digikala

Customer Service Director


2022 - 2023

MICHELIN Guide

ا data analyst - Discovering patterns and trends through spatial mapping of data. Designing digital maps with geostatistics


2013 - 2014

Mercadona Supermarket

ا marketing research - collecting and assimilating data and interpreting it in order to identify changes and forecast trends


2014 - 2014

SData

CEO and Founder - SData is a startup that helps connect people interested and working in the data field


2017 - 2022

Vatanzarin Company (Panberes)

Customer Service Director - in various periods as market research consultant and R&D manager


2017 - 2022

ISACO

Branding and Market Development Training Unit Consultant - on brand equity measurement projects, market share analysis, advertising campaign design and...


2016 - 2021

Ayande Bank

Data Analysis Consultant - modeling the customer validation model and setting up the validation system and measuring brand equity


2016 - 2017

IKCO

Consultant to the Polling Department - in brand equity measurement projects, customer classification, analysis of polling data and social networks, evaluation of advertising effectiveness, etc.


2014 - 2019

Majidfood Industry

Advisor to the CEO on marketing and organizational intelligence


2017 - 2021

My Educational Activities


Investigation of Pedestrian’s Gap Acceptance behavior at Crosswalk
Walking is one of the main transport modes and more sustainable to human society. Pedestrians need safe facilities to be utilized easily and facilitate transportation with adequate speed. Issue of safety is great importance for facilities like various kinds of crosswalk in which movement of pedestrians interacts with vehicles.
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A simple two-step method for spatio-temporal design-based balanced sampling
Abstract We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach. For populations with spatio-temporal trends and with anisotropic effects in the variable of interest
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Willingness-to-Pay Method to Estimate Effect of Accessibility on Property Prices
The economic evaluation and the financing of transportation projects require comprehensive estimation and determination of all transportationrelated external costs. The effect of accessibility on property values and the hedonic price of environmental attributes related to the transportation system are among the most important external effects.
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Balanced two-stage spatial sampling design for forecasting
In most sample surveys, it is assumed that the sample units are drawn independently from a population. This assumption is used in all stages of sampling, analysis and modeling. However, when the units of the population under study are somehow dependent, all statistical stages and even sampling methods will need to be reviewed and take into account the structure of data correlation. On the other hand, in classical sampling, if there are auxiliary variables,
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Balanced two-stage spatial sampling design for forecasting random fields
In environmental studies, we sometimes deal with dependent data whose correlation is due to their position in a specific space.
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Evaluating the impact of traffic volume on air pollution in Mashhad using seasonal time series
Abstract We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach. For populations with spatio-temporal trends and with anisotropic effects in the variable of interest
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Investigating the effects of odd-even license plate restrictions from home entrances during temperature inversions in the city of Tehran
Every year in the city of Tehran, we witness the occurrence of the temperature inversion phenomenon. Usually, the reaction of officials and decision-makers to the occurrence of the temperature inversion phenomenon and the increasing trend of air pollutants is the closure of schools, general closure, and the odd-even license plate driving restriction policy from home entrances.
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Constructing a bivariate model of shopping trip length and private car usage using copula functions
Nowadays, with the day-to-day development of behavioral models, travel demand modeling has faced a significant change compared to simulation models. It is evident that many transportation models have a two-way relationship with each other.
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Forecasting the number of passengers for Mashhad Light Rail Transit using seasonal time series
Nowadays, the focus in transportation planning is more on dynamic planning and consequently short-term and dynamic traffic modeling. Modeling and forecasting the number of passengers for the urban train is one of the essential tasks to achieve optimal and dynamic management in the urban train.
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Investigating the economic and financial future of the maritime transport industry in Iran
Maritime transport is one of the main and essential ways to increase the gross national product in a country. Maritime transport has the largest share in the transportation of imported and exported goods in every country.
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A Predictive SARIMA Model for PM10 and PM2.5 levels in Mashhad based on traffic flow and metrological data
Air pollution is known as a major cause of health and environment damages. Various factors are involved in increasing air pollution, among which road traffic is one of the main sources of these issues
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A Latent analysis on The Effect of Social Networks on Major Shopping Center Choice
The effect of intra-household and intra-personal relationships has recently recognized to significantly influence many aspect of travel behavior. Previous research has considered the effect of these relationships on travel behaviors
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Trip Purpose Estimation by Canonical Discriminant Analysis
As the use of new communication technologies have grown largely in the previous decade, researchers’ interest in estimating Origin Destinations (O/Ds) from these data sources have increased. One of the major limitations of the previous efforts on the O/D estimation is the lack of trip purpose data.
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