I am an entrepreneur by day and consultant/developer by night. My goal is to combine creative thinking and design with an analytical approach to solve problems at the intersection of business and technology. I work great in teams, lead by example and can be counted on to consistently deliver and beyond expectations.
My skills are widespread. Spanning across multiple creative and technical disciplines. I absorb information like a sponge and am in a constant chase for learning and pursuing skills that can help develop me into a well-rounded professional.
Enhance decision-making accuracy and operational efficiency through predictive models and data insights.
At RK Mission Critical, I developed a machine learning model that accurately predicted market trends.
I accomplished this by gathering and preprocessing large datasets, selecting relevant features, and training
the model using advanced algorithms like random forests and gradient boosting.
At Erewhon, I conducted logit regression on demographic data to identify the optimal store location.
This involved sourcing data from various public and private databases, cleaning and merging the data,
and performing statistical analysis to identify key factors influencing store success.
Optimize investment portfolios and improve financial outcomes with expert analysis and tailored recommendations.
During my internship at Project Destined x Bellwether Asset Management, I conducted a financial analysis of Lincoln Village.
I examined rental income, operating expenses, and market trends to identify a 15% rent boost potential, creating a detailed financial model
and performing sensitivity analysis to project a $4M property value increase over three years.
In the JPMorgan Asset Management virtual experience, I constructed tailored investment portfolios by collecting clients' investment objectives,
risk tolerance, and financial goals. I performed quantitative fundamental analysis on selected stocks, using financial ratios and performance metrics
to recommend suitable investments.
Drive business growth and market penetration with innovative solutions and strategic planning.
As the founder of Prop Check, I developed a platform to streamline property data analysis. I designed the system architecture,
integrated various data sources (e.g., zoning regulations, tax records), and created algorithms to automate the analysis process,
reducing approval times and operational expenses for clients in the mortgage and banking sectors.
At Erewhon, I presented strategic recommendations to the CEO by integrating data from diverse sources such as market research reports,
competitor analysis, and consumer surveys. My analysis helped pinpoint optimal locations for new stores, enhancing market penetration
and projected revenue growth.
I developed a Python project predicting Myers-Briggs personality types using machine learning.
I used libraries like NumPy, Pandas, and Scikit-learn for data analysis and model evaluation,
applying the model to Kaggle user comments for insights.
Skills: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Beautiful Soup
I developed a Python project to predict S&P 500 prices using the yfinance package for data,
cleaned it for visualization, set up machine learning models, used Random Forest for prediction,
and evaluated results through backtesting and model refinement.
Skills: Python, Pandas, Matplotlib, Scikit-learn, Random Forest Classifiers.
I created a React.js charge dipty clone without mandatory sign-in,
focusing on learning and user engagement. I set up the React environment,
designed a sidebar and main layout, styled elements, and integrated the OpenAI API
Skills: React.js, useEffect, useRef, useState, CSS, Flexbox
Developed a business plan for a stretching app, incorporating the "Summer Ready: June Challenge"
to enhance user engagement. Proposed targeted stretches to help users achieve specific fitness goals,
making the app dynamic, interactive, and focused on long-term mobility and wellness.
Skill: Business Strategy, UI/UX, Marketing, Ilustrator, Photoshop.
I developed a Web Scraping Build and Deploy eCommerce Price Tracker using Next.js 14.
The project includes automated data scraping, cron jobs, email notifications, deployment,
and more, all managed by a bot instead of human intervention.
Skills: Java, Next.js, Node.js, GraphQL APIs, Cron Jobs, Python
