Open to opportunities

Ali Talebi

@alitalebi

Message

Results-driven Machine Learning Engineer with expertise in data science.

Canada

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my machine learning expertise to drive impactful projects and contribute to a forward-thinking team.

I am a results-driven Machine Learning Engineer with over four years of experience in data science, machine learning, and MLOps. My expertise lies in designing NLP models using BERT and SpaCy, as well as predictive analytics with Python, TensorFlow, and PyTorch. I have hands-on experience with MLflow and Azure Databricks for model monitoring and registration, ensuring that my projects are both innovative and compliant with industry standards.

Throughout my career, I have successfully delivered actionable insights through SQL, Pandas, and various visualization tools such as Power BI and Looker. My strong collaborative skills have allowed me to drive product innovation through analytics and experimentation, particularly in fast-paced environments. With a background in oil and gas spanning 14 years, I bring regulatory expertise that enhances my ability to implement SOC 2-compliant practices in my work.

Experience

Work history, roles, and key accomplishments

Data Scientist/Senior Data Analyst

Symend

Oct 2022 - May 2024 (1 year 7 months)

Developed an autoencoder-based anomaly detection model using TensorFlow, reducing outlier identification time by 30% and enhancing data reliability. Built a machine learning segmentation model with engineered features, improving delinquent payment rates from 90% to 96% through tailored campaigns, validated via iterative experimentation. Created SQL-driven dashboards in Looker and Power BI to track

TensorFlow Machine Learning Anomaly Detection SQL Looker Power BI Snowflake

ML Engineer

Symend

Sep 2021 - Oct 2022 (1 year 1 month)

Deployed Azure Functions for NLP-based message processing, automating manual work and orchestrating data workflows with Airflow, integrating Azure File Storage and Snowflake. Optimized ML pipelines in Azure Databricks, improving data quality for over 10 models. Containerized ML workflows using Docker, enabling seamless deployment across three environments with zero downtime.

Azure Functions Airflow Databricks Docker MLOps Data Pipelines Workflows Snowflake

Developer

Symend

Jan 2020 - Sep 2021 (1 year 8 months)

Fine-tuned BERT and DistilBERT models for text classification, achieving 74% accuracy in production and building a scalable NLP API with Flask and Docker, handling over 1,000 daily requests. Implemented NLP named entity recognition with SpaCy and NLTK for a masking project, enhancing data privacy. Configured GitHub Actions to automate CI/CD pipelines, reducing deployment cycles.

BERT DistilBERT NLP Flask Docker SpaCy NLTK GitHub Actions CI CD

Oil & Gas Engineer

Oil & Gas Industry

Jan 2000 - Dec 2014 (14 years 11 months)

Worked as a Certified Risk-Based Inspector and pressure vessel designer, applying risk-aware analytics to ensure compliance. Gained expertise in API regulatory frameworks and secure coding practices.

Pressure Vessel Design Regulatory Compliance

Education

Degrees, certifications, and relevant coursework

University of California, Riverside

MSc in Data Science, Data Science

Completed a Master of Science degree focusing on data science principles and applications. Gained expertise in machine learning, statistical modeling, and data analysis techniques.