Leading data focused projects related to Corporate Finance, spanning across Data Engineering, Modelling, Automation, Forecasting, and Data Security.

Solving complex machine learning problems on manufacturing financial data as an ML Engineer for the Finance Data Science & Intelligence team.Project Responsibilities include:· Creating Time-Series forecasting models covering financial data for the entire company, including in-depth back testing and parameter tuning· Maintaining hundreds of production models through MLFlow tracking· Discovering new modelling opportunities through advanced exploratory data analysis· Developing robust data pipelines utilizing python, airflow, and Databricks· Assisting the team in code optimization, documentation, and education on best practices

· Utilized the Databricks platform for data pipelining, data engineering, EDA work, and MLFlow Model tracking· Built out clustering models for customer segmentation & pricing analysis· Built and maintained time series forecasting models on financial data using Python, Databricks, and MLFlow· Wrote SQL queries to manipulate data from multiple datasources· Developed internal training documentation, assisting team members get up to speed with Git, Python, Databricks, and other digital transformation technology· Gained exposure to Terraform, AWS, Gitlab CICD, and infrastructure as code methodology

· Utilized Power-query to develop reproducible automated processes to clean, parse, and store various dynamic text files into clean datasets, saving hours of work each month and creating a process covering the global division.· Generated and manipulated excel files using python. · Created a Power-query report handling the ETL process for commercial sales data.· Performed regular monthly duties as a member of both FP&A Closing and FP&A Forecasting teams including structured journal entries, revenue/gross margin analysis, and report decks to leadership.· Participated in various leadership development trainings and opportunities as a rotational analyst.

· Developed and maintained tools utilizing VBA and advance excel modeling to automate workflows and provide useful analyses, Including in-depth documentation to ease transition· Fostered positive business partnership through continued process improvement in connection with others in the Plant, including IT, HR, Quality, and Operations. This involved creating macros, assisting with SQL server data issues, and providing ad-hoc excel tools to benefit my colleagues workflows.· Attended multiple leadership trainings and practiced continuous leadership development with a mentor· Utilized Peoplesoft to query data, including building and scheduling custom queries.· Performed monthly responsibilities related to the accounting closing process, including processing accruals, running department spend meetings, creating journal entries, and running financial reports· Gained an understanding of manufacturing plant operations, both production and finance

Instructional Associate for ISYE6740, Computational Data Analytics, Through the M.S. Analytics program with Georgia Tech.This position involves grading student submissions regarding advanced machine learning applications, as well as answering inquiries and running live office hours for over 200 students.

· Optimized and automated Longview (Khalix) Excel reports for financial closing processes· Partnered with external reporting and investor relations to ensure accuracy of publically disclosedfinancial results in addition to verifying data used in reports to senior leadership· Built an Excel spreadsheet and Power BI dashboard to track cost of quality across all Corning plants· Assisted in the creation of a capital expenditure portfolio optimization model which serves as a project valuation tool to facilitate the decision-making process for all Corning plants

· Developed and managed three Excel dashboards containing advanced formulas to allow departments to easily track youth information throughout the organization· Created Facebook insight reports to analyze page interaction · Built internal newsletters using Publisher to be sent out to the entire organization· Tracked Donors and created donation reports using FundEZ

· Gathered and analyzed social and economic data used to identify community issues· Performed single and multi-variable hypothesis testing· Utilized Minitab to identify trends and interpret results from the studies

· Utilized Meditech information system to track inventory levels and vendors’ financial data· Developed and presented a training program to colleagues and supervisors on advanced Excel formulas, including logic formulas, lookups, and conditional formatting· Built Excel spreadsheets used to track a $1M expansion project