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ARASH AGHABABAZADEH

Data Scientist | Machine Learning Engineer
Tehran, Iran

SUMMARY

I am a Machine Learning Engineer with a slight emphasis on the Engineering side. I like computers, and enjoy making systems that solve real-world problems. The majority of my professional experience involves working with large-scale tabular and time-series data.

EXPERIENCE

Data Scientist | May 2023 - Present

TrendPlus AB, Stockholm, Sweden (Remote)

  • Trained and deployed a large ensemble of LSTM-based short-term forecasting models with telecom-scale amount of time series data achieving below 0.1 sMAPE error.
  • Implemented a hierarchical anomaly detection model for telecom performance management data which reduced average MTTI of the network in a live environment.
  • Designed and trained a word2vec-based model for learning network alarm embeddings to compress correlated network alarms.
  • Implemented a root cause analysis method for network issues based on association rule mining.

Machine Learning Engineer | Nov 2021 - Jan 2023

Alibaba Travels, Tehran, Iran (On-site)

  • Developed a goal oriented regression model for flight pricing which achieved below 0.1 sMAPE error.
  • Implemented a dynamic pricing reinforcement learning agent for flights based on offline-RL approach.
  • Trained and deployed a short term demand forecasting model for flight routes using an ensemble of ARIMA and LSTM based models.
  • Implemented ETLs and preprocessing data pipelines using PySpark and Airflow.

Machine Learning Engineer (Part-time) | Aug 2020 - Oct 2021

MCI R\&D Lab, SUT, Tehran, Iran (On-site)

  • Trained large vision and language models using PyTorch Distributed Data Parallel approach.
  • Configured an on-premise Kubernetes and Hadoop cluster for distributed processing.
  • Maintained on-premise kubeflow for resource allocation, and distributed training of deep learning models.

EDUCATION

M.Sc. Artificial Intelligence | Oct 2018 - Nov 2021

Sharif University of Technology Tehran, Iran

  • GPA: 16.7/20
  • Thesis: Self-Supervised Disentangled Image Representation Learning,
  • Courses: Machine Learning, Deep Learning, Computer Vision, Convex Optimization, Information Theory, Stochastic Processes

B.Sc. Software Engineering | Oct 2013 - Dec 2017

Azad University Central Tehran Branch

  • GPA: 15.7/20

ACHIEVEMENTS & CERTIFICATIONS

  • Certified at Machine Learning Engineering for Production Specialization (Coursera)
  • Certified at Practical Data Science on the AWS Cloud Specialization (Coursera)
  • Scored 101 on the TOEFL iBT exam (R: 28, L: 28, S: 24, W: 21)
  • Ranked 31st among more than 26,000 participants in M.Sc. Entrance Exam (Top 0.2%)

SKILLS

  • Programming: Python, C
  • Software Developement: Git, Docker, FastAPI, GitLab CI/CD, Airflow, Streamlit
  • Data: Numpy, Pandas, Polars, PySpark, SQL, S3
  • Machine Learning: Scikit-learn, Statsmodels, XGBoost, LightGBM, Pytorch, Pytorch-Lightning
  • Cloud Computing: Amazon SageMaker
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