Marketing Data Scientist
2021 - PRESENTThe Estée Lauder Companies- Worked on Kubeflow Pipelines for orchestration, which resulted in on-demand massively parallel computing, semantically version tasks, and heterogeneous computing on the cloud.
- Designed and set up a hybrid geo-user experimentation platform for estimating the incremental return on ad spend (iRoAS).
- Set up and deployed fast bootstrapping with Polars using Arrow and Ray for customer-level forecasting to increase experiment power.
- Developed reports, visualizations, and key performance indexes to track the effectiveness of marketing and guide marketing decisions.
- Implemented comprehensive A/B testing strategies on marketing data streams to optimize campaigns and drive business growth.
Technologies: Google Cloud Platform (GCP), Statistical Methods, Hypothesis Testing, Python, SQL, Docker, X Ray Engine, Polars, GitHub Actions, Apache Arrow, Data Science, Amazon Web Services (AWS), Linux, Quantitative Analysis, NumPy, CI/CD Pipelines, Machine Learning Operations (MLOps), Time Series Analysis, Time Series, A/B Testing, BigQuerySenior Data Scientist
2021 - 2021Toptal Client- Developed a risk assessment model associated with users' withdrawal and deposit limits on a crypto exchange platform.
- Designed the cloud architecture for deployment of the model into production.
- Created cloud architecture for monitoring the deployed model in the production.
Technologies: Python, Jupyter, Cloud Architecture, Data Science, Amazon Web Services (AWS), CI/CD Pipelines, Linux, Quantitative Analysis, NumPy, Docker, A/B Testing, BigQuerySenior Data Scientist
2020 - 2021System Toose co.- Led a team of four data scientists and three software developers.
- Designed and built an AI-powered chat system capable of classifying, filtering, and moderating text-based human interaction.
- Designed an AI-powered image recognition system capable of classifying sensitive or inappropriate images.
- Developed a time-series anomaly detection service that helps customers monitor various metrics. We took advantage of a simple yet strong, deep learning algorithm.
Technologies: Big Data, Python, Natural Language Processing (NLP), Image Processing, Machine Learning, Data Science, Amazon Web Services (AWS), Linux, Quantitative Analysis, NumPy, Docker, CI/CD Pipelines, A/B Testing, BigQueryData Scientist
2019 - 2020System Toose co.- Worked collaboratively in a team of deep learning researchers.
- Designed and implemented a big data pipeline using Apache Hadoop for analyzing over 350 GB of data.
- Built an automatic vehicle recognition and tracking system using state-of-the-art deep learning algorithms. The system was capable of detecting and tracking vehicles within a large multistory car park.
Technologies: Data Science, SQL, Modeling, Predictive Modeling, Data Visualization, Tableau, Big Data, Amazon Web Services (AWS), CI/CD Pipelines, Linux, Quantitative Analysis, NumPy, Docker, A/B Testing, BigQuerySoftware Developer
2019 - 2020The University of British Columbia- Built a REST API back end for a learning analytics website.
- Designed and implemented an automatic testing and submission system for university students to increase the overall quality of computer science courses.
- Installed Linux and virtualized environments using Docker and AWS.
Technologies: Back-end, Django, Amazon EC2, Docker, Data Science, Amazon Web Services (AWS), Linux, Quantitative Analysis, NumPy, CI/CD Pipelines, Web Scraping, Data ScrapingData Analyst
2018 - 2019Mad Llama Studio- Developed a data analysis dashboard capable of analyzing a real-time data stream and generating appropriate reports.
- Designed and developed a data cleaning pipeline specific to our internal processing tasks.
- Improved one of our client's eCommerce websites using predictive models. We optimized the website's performance metrics as 1) bounce rate: 21% decrease, 2) average session duration: 51% increase, and 3) pages and sessions: 18% increase.
- Managed to increase the sales volume of a client's online business by 2,000% in a 2-month project.
Technologies: Pandas, Scikit-learn, PyTorch, Keras, NumPy, Tableau, Google Ads, Facebook Ads, Digital Marketing, Data Science, Amazon Web Services (AWS), Linux, Quantitative Analysis, Docker, A/B TestingData Analyst
2015 - 2018Motamed Cancer Institute- Worked in the microbiome and bioinformatic lab as a research assistant.
- Designed and implemented a new mathematical model to predict the actual. drug release from a specific type of biomaterial.
- Designed and build data pipelines using Python and R for analyzing and optimizing experimental models.
Technologies: Python, Data Visualization, Mathematical Modeling, R Studio, Data Analysis, Data Science, Amazon Web Services (AWS), Linux, Quantitative Analysis, NumPy, Docker
Hossein Kalkhoran
Data Scientist and Developer in Vancouver, Canada
Member since November 16, 2021
Hossein is a data scientist passionate about finding hidden patterns in large-scale data. He built an automatic vehicle tracking system using state-of-the-art deep learning algorithms for a large, multistory car park and designed an automated testing and submission system for the University of British Columbia. Combined with strong analytical, project management, and problem-solving skills, Hossein helps technology companies set up, build, test, and optimize their machine learning models.
Hossein is now available for hire
Portfolio
- The Estée Lauder CompaniesGoogle Cloud Platform (GCP), Statistical Methods, Hypothesis Testing, Python...
- Toptal ClientPython, Jupyter, Cloud Architecture, Data Science, Amazon Web Services (AWS)...
- System Toose co.Big Data, Python, Natural Language Processing (NLP), Image Processing...
Experience
- Python 6 years
- Quantitative Analysis 6 years
- Scikit-learn 4 years
- Data Science 4 years
- Docker 4 years
- Big Data 3 years
- Amazon Web Services (AWS) 2 years
- Google Cloud Platform (GCP) 1 year
Availability
Part-time
Preferred Environment
Linux, Windows, R Studio, Google Cloud, Amazon Web Services (AWS), Python
The most amazing...
...project I've developed is an AI-powered chat system capable of classifying, filtering, and moderating text-based and image-based human interactions.
Employment
Experience
- Content Moderation System
A system for moderating text and image-based content on social media. Using natural language processing and image classification techniques, we designed predictive models capable of classifying, filtering, and moderating inappropriate text and image messages. In this project, I was the lead data scientist. My responsibilities included preparing our training dataset, designing the architecture of the models, leading a team of data scientists to train and optimize our models, and testing and evaluating our results.
- Real-time Anomoly Detector
A system for unsupervised anomaly detection in multivariate time series data. This project was developed using a convolutional neural network and spectral residual to detect anomalies in time-sensitive data streams.
- Traffic Monitoring System
A traffic monitoring system for a large multistory car parking company. I designed a multi-camera vehicle detection and tracking system. It was capable of vehicle re-identification in the client's multi-camera video surveillance system. The objective of the project was to track the activities of drivers on the premises.
Skills
Languages
Python, R, SQLLibraries/APIs
Scikit-learn, PyTorch, NumPy, TensorFlow, Pandas, KerasTools
Tableau, BigQuery, R Studio, Jupyter, Amazon SageMakerParadigms
Data SciencePlatforms
Linux, Docker, Amazon Web Services (AWS), Google Cloud Platform (GCP), Windows, Amazon EC2, Apache ArrowOther
Machine Learning, Big Data, Data Analysis, Predictive Modeling, Quantitative Analysis, Natural Language Processing (NLP), Image Processing, Data Visualization, CI/CD Pipelines, A/B Testing, Google Ads, Facebook Ads, Digital Marketing, Time Series Analysis, Time Series, Back-end, Convolutional Neural Networks, Modeling, Mathematical Modeling, Cloud Architecture, Image Segmentation, Statistical Methods, Hypothesis Testing, Recommendation Systems, Classification Algorithms, X Ray Engine, Polars, GitHub Actions, Machine Learning Operations (MLOps), Web Scraping, Data ScrapingStorage
Google CloudFrameworks
Hadoop, Django, MXNet
Education
- Master's Degree in Computer Science2019 - 2021University of British Columbia - Vancouver, Canada
- Bachelor's Degree in Chemical Engineering2012 - 2016Iran University of Science and Technology - Tehran, Iran
Certifications
- Object Detection with Amazon SagemakerJANUARY 2022 - PRESENTCoursera
- Image Classification with Amazon SagemakerJANUARY 2022 - PRESENTCoursera
- Building Recommendation System Using MXNET on AWS SagemakerJANUARY 2022 - PRESENTCoursera
- Semantic Segmentation with Amazon SagemakerJANUARY 2022 - PRESENTCoursera
