James L. Email & Phone Number

California, United States

• Build reporting to measure parent and subsidiary supply chain metrics by region, brand, and seasonality to highlight trends and provide insight on consumer behavior; Successfully increased market share of VSP brands as direct result of reporting.• Partner with cross functional teams to create claim forecasts and budgets, aggregating multiple lines of businesses into one cohesive, consolidated statement highlighting short-term and long-term financial goals.• Create ad-hoc reporting utilizing Excel, SQL, and Python to track various metrics (i.e., brands, membership, potential acquisitions, and investments etc.) and translate insights to presentation materials for review by the executive teams.

• Create and distribute new models to measure revenue and accrual metrics in the real estate sector. • Support 1800~ stores through methodical consideration of legal contract details and parameters to ensure Ross takes the most advantageous routes landlord tenant interactions.• Perform a deep dive regarding open orders and compare key insights about best next approaches to decrease outstanding receivables.

• Prioritized accuracy through automation by constructing and organizing key financial statements for evergreen process creation• Executed cumulative financial preparations during time of high-visibility transition• Considered and communicated all potential outcomes for a variety of trend fluctuations through projections, performance indicators, and case-specific recommendations based around a 3-year budget plan

New York, Ny, Us

Completed Data Science Immersive at General Assembly, April 2018. Training included: Python, Pandas, Numpy, Tensorflow, Scikitlearn, machine learning algorithms and SQL. Final project: Accurately Predicting Formula 1 Race Winner- Merged files into results dataframe. - Trained data set taken from 1985 to 2016. - Tested data set for 2017 race year. - Employed random forest and gradient boosting algorithms to identify features that can helped identify a winning Formula 1 race driver. - Using model, was able to predict Formula 1 race winner with 87% accuracy.Strong skills in Excel and finance gained from extensive accounting background. Quantitative thinker, highly accurate with details.

Prepared tax returns and audits for corporate entities, nonprofits, and 401k plans. Created Excel template used by team to streamline completion of Schedule D on tax returns. Organized foreign clients' data into automated spreadsheets that led to increased efficiency and reduced expenses.

Prepared tax returns for personal clients and entities. Prepared ad-hoc spreadsheets to organize unfiltered data into easily assessible data sets for ease of use by senior level employees.

Created financial repoorts and porivded quantitative and qualitative analysis to management by utilizing thorough understanding of Excel to quickly sort, organize and summarize large data sets.- Implemented new commission-based payroll system for service technicians. Analyzed payroll processes and made recommendations to streamline and cut expenses.- Cut inventory purchasing costs 5%.- Earned "Employee of the Month" in 2014 and 2015 (out of 80 employees).

Bachelor'S Degree In Business, Accounting

Data Science Immersive