About

A T-shaped Data Scientist with a result-oriented mindset. I have had a fruitful and insightful career over the last six years as Data Scientist for driving innovations in manufacturing by extensive use of artificial intelligence and machine learning, boosting e-commerce experience using mathematical and algorithmic methods, and Research Scientist for inventing solutions in energy and pharmaceutical domains. I have demonstrated capabilities working across teams not only as developers, data engineers and product managers, but also with stakeholders i.e., engineers and shop-floor employees and business partners. I am passionate about data-driven problems where there is an impact on the business or the production processes.

Interests

Python Programming

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Exploratory Data Analysis

Optimization and Algorithms

Image/Audio Processing

Education

Monash University

PhD in Computational Materials Science

January 2012 - October 2015
Research:
    Ab initio Study of Electrode Materials for Rechargeable Batteries

Bu-Ali Sina University

MSc in Applied Mechanical Engineering

September 2006- October 2009
Research:
    Fabrication and Mechanical Properties of Nano Aluminum Composites

Islamic Azad University

BSc in Mechanical Engineering Solid Design

September 2002 - July 2006
Thesis:
    Design and Program Autonomous Robot for Pick-and-Place Circular Objects

Experience

Siemens AG

Senior Data Scientist (July 2019 - Present)
Goal: Transforming Manufacturing Processes and Boost Digitalization in Production Line through Artificial Intelligence and Data Analytics
    Achievements:
  • AI Solutions at Manufacturing Line including a wide range of Computer Visions Applications such as Classification, Object Detection, & Anomaly Detection based on Acoustic Data, Parameter Optimization for Industrial Machines, Estimation of Electrical Properties of Components used at PCB Productions and many more.
  • Designed Methods to Monitor Deployed Solutions (Heartbeat, Drift…).
  • Implemented User Interfaces, API, Tools to Communicate and Deliver Solutions to the Stakeholders.
  • Boosted Automation and Digitalization and Smart Decision Making via A.I./Data Solutions resulting in Reduction of Repetitive Labour Work, Removal of Production Bottlenecks, Elimination of Human-Biased Decisions, as well as Significant Cost Reduction.
  • Constant Communications with Stakeholders to Demystify Business Domain and Define Priorities and Requirements.
  • Active Engagement in Student Mentorship and Knowledge Sharing.

Projects

  • All
  • Data Projects
  • Research Project
Entity Embedding for Encoding Categorical Features

Handwritten Persian Digits Recognition

Benchmarking UMAP for Dimensionality Reduction

Computational Polymorph Screening of Rotigotine

Skills

Languages and Databases

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Frameworks

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Tools

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How to Reach Out

Social Profiles

Contact

Email: maj.mortazavi@gmail.com