Evan Perez Email & Phone Number

New York, NY, US

Cambridge, Massachusetts, US

- Conducted a time series analysis of solar X-ray flare image samples to investigate quasi-periodic pulsations using Python- Extracted oscillations in signals by exploring smooth filtering techniques and detrending with SciPy. Visualized overlapping time series data using Matplotlib and GridSpec. - Extracted periods within detrended light curves to analyze.

- Developed a business intelligence solution by utilizing Retrieval Augmented Generation and natural language processing

- Designed and engineered a machine learning pipeline that enables users to preprocess datasets, build object detection models, and detect objects in satellite imagery- Developed additional features including the simultaneous extraction of the geospatial coordinates of detected objects using GDAL and the recording of detected object information within CSV.

New York, NY, US

- Collaborated with a team of 3 to build and train a neural network to classify fraudulent and non-fraudulent credit card transactions- Analyzed financial transaction data by visualizing feature distributions and statistics using Seaborn- Selected to participate in a competitive Data Science fellowship that enhances students' skills in data science-related.

Ithaca, NY, US

- Reduced geospatial data preprocessing time by developing a Python command line prompt tool that automated the mass conversion of AWS-sourced CSV files into formatted GEOJSON files- Procured machine learning model performance insights by retraining a classification model over newlyconverted and existing data with EC2

Flushing, NY, US

- Streamlined inventory counting from two months to two weeks using an Excel-based digital solution. Collaborated with inventory managers and shop floor to tailor the tool to their needs- Screened software engineers and sales representatives to determine the best Enterprise Resource Planning company from which to make a software purchase from based on.

- Evaluated job quality and interacted with 60+ daily clients to ensure satisfaction and increase sales- Performed vehicle cleaning services such as interior vacuuming, exterior power washing, and hand drying