Data Consultant
Current• Data extraction, cleaning and analyzing using SQL and Python• Produced reports and dashboard using Power BI focusing on business objectives• Proficient in using Microsoft office 365 tools • Design, build and deployed Power BI solutions• Conducted comprehensive SEO analysis using Google Analytics data.• Developed and executed SQL queries to extract and analyze large datasets for SEO performance.• Created and maintained Metabase dashboards to visualize SEO metrics and KPIs.• Identified key insights and trends to optimize web content and improve search engine rankings.Projects Predictive modeling for price prediction for Airbnb in NYC• Creating predictive model using statistical tools such as Regression Analysis for Air BnB dataset• Ability to retrieve, analyze and synthesis large amounts of data • Pulling insights from data analyzed such as which area are most expensive, least expensive and most popular places to rent• Visualized the data using Matplotlib and Seaborn libraries from Python• Prediction of unit price as well as what evaluation of different areas, host effects the renting Life Insurance Risk Prediction using Machine Learning Algorithm• Creating predictive model using statistical tools such as Classification Model• Data was cleaned, checked for missing values, exploratory data analysis was performed on the dataset, target variable was identifie