Michael Kheifetz

About Michael Kheifetz

I am an experienced analytics professional with a true passion for data science/data analysis. I am looking forward to applying my knowledge and a deep love for Mathematics/Statistics to solve challenging and exciting problems in industry using state of the art machine learning techniques. I love analyzing data using these tools to create meaningful insights. Skills: Python (Numpy, Pandas, Matplotlib, Scikit-Learn), SQL, Machine Learning ((Supervised Learning: Linear/Logistic Regressions, Random Forests, Bagging, Boosting), Unsupervised Learning: K-Means Clustering, Hierarchical Clustering), Natural Language Processing (Sentiment Analysis and Topic Modeling), Frequentist & Bayesian Statistics, Time Series Modeling, Mathematics

Experience

1. Lead Analytics Consultant - VP

   Wells Fargo

   Oct 2025 — Present

Education

• Drexel University

  BS, Business Administration; Accounting, Finance, Economics

  2004 — 2009

• General Assembly

  Certificate, Data Science

  2016 — 2017

Skills

• Tax Returns
• Data Analysis
• Tax
• Financial Reporting
• Journal Entries
• Cpa
• Tax Accounting
• Accounting
• Fixed Assets
• Supervised Learning
• Mathematics
• Python
• Sentiment Analysis
• Sql
• Generally Accepted Accounting Principles (Gaap)
• International Tax
• Tax Preparation
• U.s. Sec Filings
• Financial Accounting
• Partnership Taxation
• Mis
• Natural Language Processing
• Financial Statements
• Accounts Payable
• Statistics
• Auditing
• Us Gaap
• Machine Learning
• Association Rules
• Account Reconciliation
• Sales Tax
• Topic Modelling
• Tableau
• Income Tax
• Analytical Skills
• Market Basket Analysis
• Sarbanes-Oxley Act
• Clustering
• General Ledger
• Tax Research