Hamid Moradi

is available. ✅

Freiberuflich, Data Analyst, Self Employed

Fähigkeiten und Kenntnisse

Python
SQL
Analytics
Business Intelligence
ETL
Tableau Software
Data visualisation
R programming language
Statistical Analysis

Werdegang

Berufserfahrung von Hamid Moradi

  • Bis heute 1 Jahr und 7 Monate, seit Jan. 2024

    Data Analyst

    Self Employed

    - Analyzing large datasets using Python, Excel, and SQL to identify trends and patterns in urban mobility and bike-sharing, agriculture, and human resources fields. - Developing interactive dashboards in Power BI to visualize key insights and facilitate data-driven decision-making. - Communicating findings to stakeholders clearly and concisely.

  • 3 Jahre, Jan. 2021 - Dez. 2023

    Micro-mobility Specialist

    Self Employed Freelancer

    Assessing the Tehran Bicycle Master Plan - [Tehran Municipality] - 2022 - Defined key performance indicators (KPIs) of implementing the Master Plan for 3 years including hardware, software, and org-ware KPIs. - Gathered data and analyzed including Quantitative and qualitative data for more than 100 projects. - Assessed KPIs and provided insights and solutions for cycling development of more than 3% in Tehran for decision-making and stakeholders.

  • 1 Jahr, Jan. 2020 - Dez. 2020

    Micro-mobility Specialist

    URIDE

    - Developed feature lists of sharing micro-mobility mobile apps (2 apps) for users and the operation team. - Developed an operational plan (6 months) and success KPIs for a scooter-sharing program saving 3 months of preparation to run the project. - Managed operation team in a pilot scooter-sharing project and ran the project for 3 weeks in a creational area in Tehran.

  • 4 Jahre und 2 Monate, Nov. 2016 - Dez. 2020

    Transportation Project Manager

    Rahyaft Andisheh Farda

    Cycling infrastructure data management • Managed a team of 3 junior transportation engineers and collected Tehran's cycling infrastructure data (picture, location, and capacity) including 1200 bicycle racks, 200 KM bicycle routes, and 20 ramps. • Linked photos and information on infrastructure to geospatial data, building informative maps Using ARC GIS software resulted in 14GB of data. • Extracted insights from maps and reported to managers including locating 110 new bicycle ramps on pedestrian bridges.

Sprachen

  • Englisch

    Fließend

  • Persian

    Muttersprache

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