ABOUT ME
MY BACKGROUND
As a dedicated data professional with a passion for numbers, I bring over four years of experience spanning various industries, including advertising, legal, security systems, and manufacturing. My expertise lies in using a diverse set of programming languages including but not limited to R, Python, SQL, and VBA coupled with a profound understanding of statistical methods to extract actionable insights from complex datasets.
With a BS in Economics, a BA in Political Science, an MS in Data Science specializing in Analytics and Modeling, as well as a pending MBA from NYU Stern School of Business, I bring a robust blend of academic and business knowledge to my professional endeavors.
Eager to stay at the forefront of technological advancements, I am particularly enthusiastic about exploring machine learning and AI techniques to offer customized solutions that transcend conventional data analysis methods. With a strong analytical mind and a commitment to data-driven decision-making, I am dedicated to contributing to forward-thinking initiatives and driving business success through innovative data products.
Recently, I've plunged headfirst into the realm of quantum computing, looking to understand the potential benefits that quantum machine learning methods might offer compared to classical ML algorithms.
SKILLS
Programming Languages: Python (Pandas, NumPy, Tensorflow, Keras, Scikit-Learn, Beautiful Soup, Selenium, Scipy, Matplotlib), R (Tidyverse, ggplot2, Dplyr, Caret, DT), SQL (Snowflake SQL, MySQL, Oracle), Excel VBA, C++
IDEs: Jupyter Notebook, RStudio, Visual Studio
Statistical Software: SAS, STATA, Minitab Express
Other Tools: Tableau, Excel, Salesforce Marketing Cloud (Datorama), Git, Snowflake, AWS (S3, Lambda), Google BigQuery, Adverity, Fivetran
Core Competencies: Feature Engineering, Exploratory Data Analysis, Machine Learning (Classification, Clustering, Neural Networks), Statistical Modeling (Logistic and Linear Regression, Multivariate Modeling), Data Mining (Dimensionality Reduction (PCA, Factor Analysis)), Statistics (Causality and Hypothesis Testing), Forecasting (ARIMA, LSTM, KNN), Time Series Analysis, SFTP set-up, API Development, Predictive Modeling, Calculus, Automation, Research and Investigation, Data-Driven Decision Making, Data Wrangling, Data Cleaning, Technical Writing, ETL and Data Pipelines
Research Interests: Quantum ML, Bias Prevention in AI Development, Sustainable Data Mining, Stochastic Systems
CERTIFICATES
