You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Saeid AkhavanSA

Saeid Akhavan

Data Scientist

€215/day
Dubai City, AE
8-15 years

Average response time: 1 hour

About Saeid

Passionate, team player and motivated data scientist with strong background in Mathematics and 5 years of experience using data mining algorithms in Python and R to improve revenues for businesses in Energy, Steel manufacturing and IT companies.
  • English

    Native or bilingual

Can work on-site
Dubai City (up to 50km)

Experience

  • Saman Energy Company
    Data Scientist
    May 2023 - Today (3 years and 1 month)
    EPC company in Metal, Oil, Gas and Petrochemical Industry.
    • Data and feature engineering for data logs of more than 2000 sensors assembled on plant (shaft, reformer, scrubbers, and compressors.)
    • Predicted metalization and carbon percentage of shaft furnace output with 85% accuracy.
    • Designed many dashboards and visualizations to monitor and manage the plant performance.
  • Okala Company
    Data Scientist
    November 2022 - May 2023 (6 months)
    Online supermarketfor more than 2500 stores all over the country.
    • Main data analyst of Marketing and Product team.
    • Performed a time series Shopping Cart Analysis of a dataset with more than 30k baskets per day to recognize the ordering pattern of the customers.
    • Implemented an OMS dashboard with Power BI to predict the Cancellation Rate, Delivery Delays, Ticket Tracking and other Order Management KPIs.
  • Astana Smart City
    Data Scientist
    January 2020 - January 2021 (1 year)
    Supervisor: Dr. Amin Zollanvari, Texas A&M University, USA.
    • Developed a fault prognosis method to reduce maintenance costs of transformers in large scale energy companies.
    • Examined the possibility of using deep neural networks (DNN) in capturing the hidden patterns of vibration time-series to predict the transformer under and over excitation and inter-turn fault progress prediction in early stages.
    • Adopted Keras library and deep recurrent neural network (RNN) architecture including unidirectional and bidirectional gated recurrent units (GRUs) and long short-term memory (LSTM) models. The constructed RNN for predicting excitation voltage exhibited a remarkable performance with a relative absolute error (RAE) of 0.56%.

Recommendations

Be the first to recommend Saeid

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Education

  • One year data science internship
    Univ. of Colorado Boulder
    2018
    One year data science internship
  • PhD of Computer Engineering:
    University of Tehran
    2018
    PhD of Computer Engineering:

Skill set

Categories