Iliyana Staneva

About Me

Iliyana Staneva IliyanaMStaneva@gmail.com | (773) 961.9525 | github.com/IliyanaMStaneva MS in Applied Data Science - GPA: 4.0/4.0 DePaul University Bachelor of Science in Business, Major in Finance Honors - GPA: 3.9/4.0 Projects CNN classification model Education University of Chicago December 2022 June 2017 • Built a CNN for IP 102 Dataset to classify 75,222 images in 102 classes using Keras • Built custom classification models using kernel regularization, BatchNormalization and Dropouts • Applied transfer learning with VGG19, ResNet50 and EfficientNetB0 by freezing most of the layers and trained the last layers BofA Fraud Detection Project • Performed analytics on 48 hours of transactional data components obtained with PCA on imbalanced data set • Applied machine learning algorithms to classify fraud and non-fraud transactions resulting in improved recall Robotics Capstone - youtube.com/watch?v=wI2VtXlAoRg • Built a conveyor belt system to minimize human error and optimize warehouse processes • Wrote LUA scripts to program a robotic arm to execute forward movement and pick and place motion • Wrote Python scripts for box generation and OCR on shipping stickers resulting in 92% accuracy using the Yelp dataset Professional Experience BrowseWorks, Designer and Developer Studio Data Science Intern May 2022 - September 2022 • Analyzed structured datasets, performed exploratory data analysis, compared modeling approaches, generated predictions and ensured scalability of algorithms • Effectively communicated results to superiors by interpreting and visualizing data with Tableau to create dashboards used for performance reporting and analytics, connected data sources and updated data through automated processes • Improved efficiency by applying deep learning algorithms to 500,000 images to perform classification, image segmentation and object recognition for a multimodal model supporting an experimental application aiming to sort real news from fake • Processed complex datasets thorough Python, SQL, and R to deliver statistically significant information to support data-driven business decisions Northern Trust, Financial Services Company Senior Accountant, Institutional Fund Accounting November 2017 - January 2020 • Determined the Net Asset Value for Defined Contribution plans, profit sharing, and public funds by assessing the impact of the investment manager trading activity on the investment portfolio returns and option market values • Trained associate accountants to process forward contracts for currency exchange rates, interest rate swaps, options, and futures contracts for clients’ hedge fund investments • Evaluated, reconciled, and audited transactions, income positions, accruals, and corporate action events in portfolio investment options containing mutual funds, equities, derivatives, and fixed income securities in a fast-paced environment using Excel macros • Produced monthly and annual portfolio statements and 5500 reports in compliance with GAAP reporting for clients and Department of Labor within a short time frame Technical Skills Python, R, SQL, MongoDB, PySpark, PyTorch, Visual Studio Code, Hadoop, Google Analytics, Jira, NLP, TensorFlow, AirFlow, Snowflake, GitHub Languages • • Fluent in Bulgarian, English, and conversational French

Education

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