Key contributor to a fast-paced, short-term support to operations project to develop time-series forecasting models for predicting economic turning points based on key economic indicators and identify their impact on the company's KPIs

Spearheaded the development of end-to-end pipelines encompassing the entire data science ecosystem from scratch, including: Data Collection from open-source APIs, Data Cleaning and Preprocessing, Feature Engineering, Model Development, Hyperparameter Optimization, and Model Deployment

Developed independent time-series classification models for the next several months into the future, using direct multi-step forecasting, with accuracies of > 95% and f1-scores ranging from 65-80%

Developed a user-friendly real-time interactive dashboard for project stakeholders using Plotly Dash that conducts impact measurement sensitivity analyses simulations and displays updated forecasts under a minute

Tested and improved pipelines for personalized recommendation systems for efficient cloud deployment

Worked in the thiochemicals division on reviewing, designing, and analyzing a single colorimetric assay for simultaneous quantification of volatile sulfur compounds

Prepared sample solutions for each compound at different solution concentrations and different reaction times, and analyzed samples on microplate reader for correlation of absorbance with solution concentration

Performed analysis for possible interferences or bias in the presence of multiple target sulfur compounds

Acquired familiarity and experience with designing and executing experiments, comprehensive data analysis and technical writing

Performed a detailed review and analysis of electrolysis of sodium chlorate to sodium perchlorate process at TKIS to understand theprocess irregularities and deviations

Performed engineering calculations to identify and characterize process parameters for the design of an efficient and economical crystallization technology to obtain 99.9% pure sodium perchlorate crystals

Performed Root Cause Analysis for an identified process problem (explosive disintegration of ClO2) and proposed viable andeconomical solutions for process improvement and proposed design solution to improve ClO2 yield