Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an experienced data professional with a strong background in advanced data collection, modeling, and visualization. I have hands-on experience in finance environments and enjoy building robust end-to-end machine learning pipelines that deliver actionable insights. Collaboration and clear communication with both technical and business teams are among my strengths. Currently completing my MSc in Autonomous Systems, I have developed predictive models and automated data ingestion pipelines that significantly improve operational efficiencies. I am passionate about leveraging AI and ML tools to solve real-world problems and excited to continue growing my skills in data science and AI development.…I am an experienced data professional with a strong background in advanced data collection, modeling, and visualization. I have hands-on experience in finance environments and enjoy building robust end-to-end machine learning pipelines that deliver actionable insights. Collaboration and clear communication with both technical and business teams are among my strengths. Currently completing my MSc in Autonomous Systems, I have developed predictive models and automated data ingestion pipelines that significantly improve operational efficiencies. I am passionate about leveraging AI and ML tools to solve real-world problems and excited to continue growing my skills in data science and AI development.

Ila Amini

Data Scientist, AI Engineer, Programmer, +1





I am an experienced data professional with a strong background in advanced data collection, modeling, and visualization. I have hands-on experience in finance environments and enjoy building robust end-to-end machine learning pipelines that deliver actionable insights. Collaboration and clear communication with both technical and business teams are among my strengths. Currently completing my MSc in Autonomous Systems, I have developed predictive models and automated data ingestion pipelines that significantly improve operational efficiencies. I am passionate about leveraging AI and ML tools to solve real-world problems and excited to continue growing my skills in data science and AI development.…I am an experienced data professional with a strong background in advanced data collection, modeling, and visualization. I have hands-on experience in finance environments and enjoy building robust end-to-end machine learning pipelines that deliver actionable insights. Collaboration and clear communication with both technical and business teams are among my strengths. Currently completing my MSc in Autonomous Systems, I have developed predictive models and automated data ingestion pipelines that significantly improve operational efficiencies. I am passionate about leveraging AI and ML tools to solve real-world problems and excited to continue growing my skills in data science and AI development.

Available to hire

I am an experienced data professional with a strong background in advanced data collection, modeling, and visualization. I have hands-on experience in finance environments and enjoy building robust end-to-end machine learning pipelines that deliver actionable insights. Collaboration and clear communication with both technical and business teams are among my strengths.

Currently completing my MSc in Autonomous Systems, I have developed predictive models and automated data ingestion pipelines that significantly improve operational efficiencies. I am passionate about leveraging AI and ML tools to solve real-world problems and excited to continue growing my skills in data science and AI development.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Junior Associate within Quantitative Credit Research at Capital Four

August 31, 2024 - July 21, 2025

Developed ETL pipelines and automated ingestion and transformation of 15M+ daily market records from multiple sources, cutting manual overhead by up to 70% and enabling near real-time data access. Delivered predictive models for large time-series analysis, uncovering actionable trends and key metrics. Built and deployed real-time dashboards monitoring 10+ key performance indicators (KPIs), along with thorough statistical analysis, which reduced time-to-insight by 80% and enabled faster investment decisions. Delivered clear and engaging visual reports to non-technical stakeholders on a weekly basis, increasing the adoption of data-driven decisions across teams.

Student Assistant in Revenue Operations at Siteimprove

December 31, 2022 - July 21, 2025

Ensured consistency and quality of revenue and operational data across multiple systems. Delivered ad-hoc reports and data insights to support sales team operations and strategic planning.

Artificial Intelligence Intern at KNTU

October 31, 2021 - July 21, 2025

Led full-cycle predictive modelling initiatives on datasets exceeding 10M rows, achieving high-accuracy forecasts that informed academic and operational research outcomes. Uncovered latent patterns in unstructured data using ML clustering algorithms (e.g., K-means, DBSCAN), providing actionable insights for research teams and exploratory analysis. Evaluated neural networks using precision/recall metrics and optimized pipelines for deployment.