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Aref farzaneh

@areffarzaneh

Data Scientist at Mobile Communication of Iran (MCI), building machine learning models to predict network traffic and congestion.

Iran

Message

At Mobile Communication of Iran (MCI), I develop machine learning models to predict network traffic and congestion. I work with RAN, Network, and Optimization teams to prepare data and create dashboards that support performance monitoring and network optimization.

At Digikala, I developed models for customer segmentation, return volume, and contact center call forecasting. This work supported fraud detection, reduced costs, and improved inventory management; I also developed the Digikala Service website from scratch.

Earlier, I used predictive models to forecast sales at Rayanmehr and automated manual processes with Python. At SnappFood, I analyzed delivery data and provided data-driven solutions that reduced delivery times and increased customer satisfaction.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Mobile Communication of Iran (MCI)

Feb 2024 - Present (2 years 8 months)

Collaborate with RAN, Network, and Optimization teams to gather requirements, fetch and preprocess data, and create dashboards for monitoring performance. Develop machine learning models for predicting network traffic and congestion.

SQL Data Analysis Machine Learning Dashboarding Network Optimization

Data Scientist

Digikala

Aug 2022 - Feb 2024 (1 year 6 months)

Implemented machine learning algorithms for customer segmentation, leading to fraud detection and a 10% cost reduction. Developed predictive models for return volume and contact center call volumes, improving inventory management and reducing operational costs. Developed and deployed the Digikala Service website, resulting in a 15% revenue increase.

Machine Learning Customer Segmentation predictive modeling Project Management Web Development

Data Scientist

Rayanmehr

Aug 2020 - Aug 2022 (2 years)

Utilized predictive models to forecast sales and optimized them for accuracy. Managed communications with B2Bs and mobile operators, and automated manual processes using Python to reduce costs and improve efficiency.

predictive modeling Python Automation B2B Communications

Python Developer and Data Analyst

SnappFood

Mar 2018 - Aug 2020 (2 years 5 months)

Tracked the food delivery process and analyzed data to identify areas for improvement. Provided data-driven solutions, leading to a 15% reduction in delivery times and a 10% increase in customer satisfaction.

Python Data Analysis Process Improvement