A trustworthy, diverse, mid-career business professional returning to work through a passion for the complexity of data. Enjoys working in a deadline driven environment to solve problems focused on the customers needs. Organized and analytical approach to solving problems in a collaborative process. An extrovert who likes helping her teammates and is not afraid to bring cookies to the meeting.

• Focus on complex details | Drive for stakeholder impact
• Creative problem-solving and team building skills
• Advanced Microsoft Office 365 (Excel, Word, PowerPoint, OneNote)
• Introductory Programming Skills (Python, SQL, Jupyter Notebooks)
• Planning | Budgeting | Forecasting | Project Organization

• Predicting house price based on some features such as square footage, number of bedrooms & bathrooms and age
• Mean Squared Error and Root Mean Squared Error as the metric; Linear, Lasso and Ridge Regression as the algorithms
• Libraries used: Python, Pandas and Data Visualization with Seaborn

• Predict a word from the correct subreddit
• API exact (2) subreddits using Python with Pushsift.io
• Random Forest Classifier as the algorithm
• Libraries used: NLTK, Python and Data Visualization with Seaborn and Matplotlib

• Predict the probability that a loan will charge off using Accuracy as the metric for this imbalance data classification
• Algorithms: Logistic Regression, Random Forest, Ada Boost, K-Nearest Neighbor
• Libraries used: Sklearn, Python, Pandas and Seaborn

Accounting / Project Manager

• Accountable for full project lifecycle: develop scopes of work with associated project plans, and own the day-to-day coordination to ensure that projects remain on track and within budget
• Lead internal status meetings: clearly capture notes, assign action items to team members, and own all necessary follow-up
• Relay clear and specific expectations, timelines, priorities, challenges, and new developments in detail to key internal and external team members
• Develop and maintain financial reports to clearly communicate actual results, forecast performance and variances to plan, and budget to key stakeholders
• Presented data that helped guide decisions of the company, which increased the number of projects offered

Analyst Assistant

• Customer focused deliverables based upon in person meetings
• Manage delivery of multiple projects with overlapping deadlines and priorities
• Prioritize demands of multiple managers in a fast-working environment

Accounting / External Account Management

• Develop, perform, and manage all aspects of financial planning, budgeting, and forecasting
• Provide key operational/financial reporting and insight on key performance measures
• Executed core financial processes, including vendor setup and payment, operational expenses, administration of bank accounts and account reconciliation
• Apply privacy best practices and ensure employees is at the center

Analyst Assistant

• Customer focused deliverables based upon in person meetings
• Manage delivery of multiple projects with overlapping deadlines and priorities
• Prioritize demands of multiple managers in a fast-working environment

Data Science Immersive cohort

My GitHub Lending Club Project

Studied classes in preparation of Data Science cohort

Studied courses in Accounting and Finance

AA Degree

• DataCamp – Data Science Certification, Machine Learning Certification, SQL Courses
• Skillsoft – Bias in the Workplace
• Snowflake – Data Warehouse Modernization, Augmented Data Lakes