Boston Housing Price Prediction
Using Python libraries (numpy, pandas, scikitlearn) to predict housing prices in Boston.
Using Python libraries (numpy, pandas, scikitlearn) to predict housing prices in Boston.
Highlighted skills and industry experience.
Machine Learning & AI is rapidly transforming industries, and I am excited to be a part of this innovation. My passion for Machine Learning and AI has driven me to learn and develop new skills through projects. I am eager to apply my analytical abilities to tackle real-world challenges with data. My project experience includes Scikitlearn and TensorFlow.
Data is enabling HCLS organizations to make informed decisions and improve patient outcomes. In my current role, I develop, operate, and enhance analytics-focused capabilities for portfolio management. Using Tableau, Python, and AWS, I collaborate with stakeholders to develop data requirements, acceptance criteria, and change management plans for data analytics solutions.
Business Development is about crafting effective communication & strategies to solve for your clients biggest problems. I sourced over $750,000 and maintained $4,000,000+ in pipeline for a ML & AI startup, solving for pain-points in Data Quality, MLOps, Data Governance, Complex Infrastructure, and Underutilized Data Experts.
Previously, I drove growth and innovation at a startup focused on Democratizing AI. I leveraged the power of data to develop growth strategies and identify key metrics for buyer propensity. I worked with clients on developing predictive models and scalable infrastructure for Machine Learning projects.
Data Analysis is more than just creating charts & graphs - it's about telling a story with data. With experience in data prep, visualization, and predictive modeling, I help organizations make sense of complex data sets by creating clear & impactful stories.
Data is the lifeblood of banking and asset management, transforming the way businesses operate and model risk. I have experience supporting a bulge bracket bank in analyzing market trends to improve portfolio performance across real estate assets.