Business for Acceleration

I’m an accountant, equipped with a diverse skill set that spans beyond traditional number crunching. My multifaceted background as a tax preparer, bookkeeper, data analyst, and technology enthusiast empowers me to offer comprehensive and forward-thinking accounting services to individuals and businesses alike. DECISION ANALYSIS| MANAGEMENT SCIENCE| PREDICTIVE MODELING | 8+ Yrs Financial Accounting and Tax Experience | Certified QuickBooks ProAdvisor - Payroll and Quickbooks Online (Advanced), California Tax Education Council Registered Tax Preparer (CRTP) | Data Science & Machine Learning | Dashboards and Data Visualization | Power BI | Power Query | Python

• Exploring Equidistant Points in a 2D Space using PySpark

• Building a Semantic Model in Power BI with Microsoft Fabric

• Exposing Your Flask App to the World with Ngrok and Pyngrok in Google Colab

• Maximizing Returns: Using Decision Trees and Expected Values for Strategic Decision Making

• Optimizing the Stalagmite Function using Octave and Genetic Algorithm in Google Colab

• Exploring Genetic Algorithms for Optimization

• Analyzing Business Processes: A Visual Approach with Python Graphviz

• Calculating Prediction Intervals in Regression Using Python NumPy and Statsmodels

• Network Theory: Concepts and Applications

• Sequential and Adjusted ANOVA in Regression Analysis

• Solving UnicodeDecodeError: Loading Data into Pandas DataFrame

• Navigating Data Integration and Predictive Modeling with RapidMiner

• How to Push a Python Pandas Dataframe from Google Colaboratory to a Microsoft Fabric Lakehouse Using Microsoft Azure App Registrations and API Permissions

• Analyzing Revenue, Cost, and Profit Functions

• Medallion Architecture Design using PySpark and Delta Lake

• Imputing Missing Data with K-Nearest Neighbors Algorithm

• Optimizing with Gurobi: Insights from MIPLIB Benchmark

• Connecting Raspberry Pi and Arduino: A Simple Guide

• Converting Text to Speech and Speech to Text using gTTS and Vosk

• Algebraic Method for Linear Programming Solutions using SymPy in Python

• Efficient Path Handling in Python

• Solving Robertson's ODE: A Comprehensive Exploration of Numerical Integration

• Exploring XOR Neural Networks with Python itertools

• Mathematical Modeling and Optimization for Curve Fitting with Gurobi in Python

• Linear Regression: Exploring Quadratic Least Squares Optimization with Gurobipy

• Building a Simple Client-Server Interaction using Python Socket Programming

• Solving Multivariate Time-Dependent Ordinary Differential Equations (ODE) with Runge-Kutta Method

• Confidence Intervals: A Practical Guide in Python

• Confidence Intervals: Statistical Fundamentals and Python Visualization

• Mastering LED Control: Command-Line Precision with `argparse` in Jupyter Notebook

• Unlocking the Potential of Raspberry Pi: From Installation to Physical Computing

• Evaluation of Classifier Performance

• Understanding and Addressing Imbalanced Datasets in Machine Learning

• Understanding Data Binning in Python with NumPy and Pandas

• Data Envelopment Analysis (DEA) in Python

• Creating an Interactive Flood Vulnerability Dashboard for New York City Neighborhoods with Panel Library in Python

• Exploring Flood Vulnerability in New York City with Geopandas and Python

• Mixed-Integer Linear Programming for Transportation and Distribution Optimization

• Hermite Polynomial Interpolation Using Divided Differences

• Optimizing a Product Mix using Linear Programming with Gurobi Python

• Unveiling Supply Chain Insights with a Data Model in Excel Power Pivot

• L'Hopital's Rule: Solving Indeterminate Limits

• Solving Integer Programs: Designing a Vacation Package with Gurobi Python Optimization

• Creating Interactive Maps with GeoPandas and Folium

• Fundamental Concepts of Present Value, Discount rates, and Cash flows in the Realm of Finance.

• Understanding Newton's Divided Difference Interpolation Formula

• Understanding Neville's Algorithm for Polynomial Interpolation

• Understanding Lagrange Interpolating Polynomials: Connecting the Dots

• Exploring Fixed-Point Iteration and Its Applications

• Mastering T-Tests: A Comprehensive Guide to Hypothesis Testing with T-Statistics

• Navigating Discontinuities with the Bisection Method

• Implementing Maximum Likelihood Estimation

• Predicting the Dependent Variable Using the Regression Model

• Building and Deploying a Web App on Google Cloud Run

• Solving Limits with Python, SymPy, and Symbolab: A Fundamental Calculus Concept

• Exploring Bivariate Distributions with Monte Carlo Random Sampling in Python

• Navigating Microsoft Fabric: From Data Import to Visualization - A User's POV

• SQL Mastery with Python, Pandas, and Colab: A Data Analyst's Guide

• Python Dataclass Demystified: A Botanical Journey Through Orchids

• Executing DAX Queries in Power BI Using Python within Jupyter Notebook

• Discover DAX Studio

• Building Conversational AI with Transformers in Python: A Practical Example

• Visualizing Financial Flows: Unraveling a Rental Property's Cash Flow with Plotly Sankey Diagrams

• Looker Studio: Unveiling Insights with Pivot Tables and Controls

• Mastering Power BI Time Intelligence with DAX: Navigating Row Context and Filter Context

• Introducing IRIS: IRS's Modernized Online Portal for Filing Information Returns

• Optimizing Store Checkout with Simio Simulation: A Case Study

• Creating Dynamic Text Video Clips with Python and MoviePy

• 5 Secrets for Successful At-Home Research: Cutting-Edge Tools for Productivity and Exploration

• Demystifying the Simplex Algorithm: Optimizing Linear Systems

• Unraveling Tennis Ball Bounce Heights with Histograms: A Data Science Exploration

• Optimizing Workforce and Production Decisions: Linear Programming Aggregate Planning Spreadsheet Model

• Accelerate Your Success with Advanced RapidMiner Data Science and Predictive Analytics

• Unlocking the Power of NumPy Arrays: Why Learning NumPy is Essential for Python Programmers

• Mastering Logistic Regression: Unraveling Probability, Odds, and the Logit Function

• Deploying an App to Google Cloud Run