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Javid Jouzdani

Javid Jouzdani

Senior Data Scientist

Standards Australia | Australia

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Algorithmic artist, painting vibrant pictures with lines of code.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Understanding ChatGPT

course

Introduction to Python

course

Introduction to SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Standards Australia | Sep 2022 - Present

Advanced Analytics Specialist (Data Scientist)

Key Responsibilities: • Designed, created and deployed a hybrid recommendation system following different approaches from Graph Theory to Natural Language Processing using Python on Azure ML Studio • Created data pipelines to extract, transform, and clean data from Azure SQL Databases • Mentored data professionals in data science and machine learning • Supervised, trained, and advised junior data scientists on how to solve analytical, data and technical challenges Key Achievement: • Proposed a solution on the first week of starting my role that was well appreciated by the business stakeholders
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Tata Consultancy Services | Jun 2021 - Sep 2022

Data Scientist

Key Responsibilities: • Designed and led a project to apply Deep and Wide Neural Networks to predict Service Request Response Time using Tensorflow on Vertex AI • Implemented a product for stores financial efficiency evaluation using P&L PDF reports and applying Data Envelopment Analysis • Created an NLP solution for clustering and topic modelling of incidents using Scikit-Learn, Spacy, Gensim, and the data extracted from BigQuery • Trained several data professionals in data science and machine learning • Supervised, mentored, and advised junior data scientists on how to solve analytical, data and technical challenges • Interviewed data science applicants and reported the results • Utilised MCDM Techniques and TensorFlow for supplier performance evaluation and prediction • Efficiently collaborated on developing data pipelines using Composer (Airflow DAGs), Cloud Scheduler, Cloud Storage, Cloud Function, and BigQuery on GCP • Delivered high quality solutions in a agile environment involving Github, CI/CD, and Jira. • Designed, developed, and deployed a tool to automate major parts of the data pipeline on GCP • Performed EDA using Pandas, Numpy, Scipy, Seaborn, Plotly, and Matplotlib Key Achievement: • Achieved "Innovista Sparkle" innovation award for a unique innovation which exceeded the Innovation project objective among about 12,000 innovative projects • Received "Special Initiative Award" for designing, developing, and deploying the an automation tool that reduced 8 man-hours of effort to less that 5 man-minutes and also prevented human errors and rework • Received the "Innovation Pride Award" for designing a solution for store efficiency evaluation and benchmarking.

QBE | Nov 2020 - May 2021

Data Analyst

Key Responsibilities: • Collected data from the databases using SQL scripts and SQLAlchemy • Applied parametric and non-parametric statistical methods for EDA • Created an ETL pipeline to get the data from a web API using Python • Acted as the technical lead of a successful project • Modified Docker files to create and run containers on virtual machines • Analysed natural language data using Python for classification • Collaborated on developing code for data analysis automation following Agile methodologies and using version control tools • Created and applied pipelines for Natural Language Processing and Text Mining • Communicated the results of the analysis to the business partners via reports and visualisations created by Seaborn, Plotly.Express, and Matplotlib. • Played an active role in developing effective and efficient solutions to complex business problems Key Achievements: • Improved the performance of a classification algorithm from below 50% to over 80% • Saved 3 man-hour per day by developing an innovative way of presenting the data analysis results • Played a key role in successfully delivering the projects on-time

My Education

Take a look at my formal education

PhD in Industrial EngineeringIran University of Science and Technology | 2015
MS in Socio-economic Systems EngineeringAmir Kabir University of Technology | 2008
BS in Applied MathematicsUniversity of Isfahan | 2003

About Me

Javid Jouzdani

A goal-driven, detail-oriented, and highly educated and accomplished data specialist with an exceptional record of delivering effective and efficient solutions to complex business problems.

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