Professional Experience

ML & Software Specialist – Sales Analytics

Sep 2024 - Present

Ostrich Industry Journal (Full-Time)

Tehran, Iran

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  • ML & Business Optimization: Built end-to-end ML pipelines, trained predictive models, and developed real-time dashboards for sales analytics and executive reporting.
  • Dashboard Development: Created interactive BI dashboards using modern visualization tools, enabling stakeholders to monitor KPIs and make data-driven decisions in real-time.
  • Software Development: Built robust software solutions for data integration, API development, and automated reporting systems to streamline business operations.

Data Scientist and ML Engineer

July 2022 - June 2025

Energiser LTD (Part-Time)

Remote, London, UK

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  • Energy Forecasting: Engineered Neural Networks for energy demand forecasting, achieving 7% cost reduction.
  • Renewable Integration: Implemented ensemble learning methods for power flow predictions, achieving 15% accuracy improvement.
  • Cloud Infrastructure: Architected scalable ML pipelines on AWS with MLOps practices, achieving 99.8% uptime.

Data Science Specialist

Oct 2020 - Dec 2024

Freelance Professional (Part-Time)

Tehran, Iran

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  • Computer Vision: Developed deep learning-based security systems and 3D image analysis pipelines using CNNs and transfer learning.
  • NLP: Created advanced NLP pipelines using BERT, GPT, and T5 models for sentiment analysis and automated report generation.
  • Urban Analytics: Engineered CNN-powered computer vision systems for cityscape analysis and urban planning applications.
  • Industrial AI: Designed ML systems for process optimization and predictive maintenance in industrial settings.

Data Scientist and Research Assistant

Dec 2018 - April 2023

Data-Oriented Research for Software Analytics (DORSA) Laboratory

Tehran, Iran

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  • Advanced LSTM Models: Engineered LSTM models for predictive analytics in scientific literature, achieving 25% RMSE improvement.
  • NLP & BERT-based Embeddings: Implemented BERT-based embeddings and topic modeling, improving topic detection accuracy by 18%.
  • Cross-domain Knowledge Discovery: Developed ML methodologies for bibliometrics, achieving 22% better prediction stability.
  • Research & Publications: Conducted empirical studies on scientometrics, contributing to peer-reviewed publications in high-impact journals.

Key Achievements & Impact

25% RMSE Improvement

Advanced LSTM models for predictive analytics in scientific literature

Deep Learning Time Series Research

7% Cost Reduction

Energy demand forecasting system that reduced operational costs for Energiser LTD

Energy Sector Cost Optimization Neural Networks

99.8% System Uptime

Production-grade ML pipelines on AWS with MLOps practices

MLOps AWS Production

18% Accuracy Boost

NLP techniques and BERT-based embeddings for topic relationship detection

NLP BERT Topic Modeling

4 Peer-Reviewed Publications

Published research in high-impact journals including Scientometrics

Research Publications Innovation

International Collaborations

Worked with researchers from Imperial College London, UTS, and Amazon

Collaboration Global Leadership