TCNN-Based Predictive Modeling for Anomaly Detection in ECGBuilt a neural network model for real-time heart health monitoring of firefighters.• Preprocessed and standardized data from wearable devices using ‘os’ for file management and ‘scipy.signal’ for data upsampling, resulting in synchronized and consistent inputs for effective model training.• Developed and fine-tuned a Temporal Convolutional Neural Network architecture, optimizing hyperparameters to train on ECG data, resulting in a 90% preliminary accuracy with continuous adaptation to new data inputs. Statistical and Time Series Analysis-based Metric Development Developed and iteratively refined a novel heart-rate-adaptability metric through statistical and time series analysis for quantification of physiological response to stress. • Optimized heart-rate time series data quality by preprocessing ECG signals, removing noise using statistical analysis and signal processing techniques, resulting in high quality data for extensive EDA to uncover critical trends. • Built a scoring system by segmenting time series data and combining key statistical metrics like variance, median, and time, resulting in a robust metric to quantify heart-rate adaptability to increasing physical stress.

Working with Wegmans Food Markets as part of Practicum/Capstone contract to build a model for the prediction of time intervals (along with a confidence) between orders of given customers for Wegmans Meals2GO orders.

• Streamlined customer inventory and sales data integration by designing and deploying an ETL pipeline using MySQL, transitioning from manual to digital records keeping enhancing data accuracy and system reliability.• Improved operational efficiency by focusing on optimizing the timing of product purchases through detailed data analysis, leading to better pricing strategies and loss minimization.• Identified cost-reduction opportunities and analyzed strong/weak areas of sales volume using descriptive analysis and data visualization in Tableau, contributing to a 15% increase in profitability and informed loss minimization strategies.• Developed and implemented credit recovery and profit enhancement measures using detailed data analysis post-COVID-19, which successfully recovered 80% of the original working capital.