As a Data Science and Business Analytics professional with three years of experience, I specialize in transforming complex data into actionable business insights. Currently pursuing a Master's in Analytics at Northeastern University, I have a strong technical foundation in Python, SQL, R, Tableau, Power BI, and machine learning, with a proven track record of optimizing business operations and driving strategic decision-making.
My experience spans multiple industries, where I have successfully managed data-driven projects:
1. I optimized lead-to-client conversion rates by implementing logistic regression models for lead scoring and forecasting revenues with an 86% model accuracy. My efforts contributed to a 120% increase in client acquisition and streamlined data operations.
2. I designed and deployed data structures, improving data accuracy by 30%. I also used MySQL and Tableau to build reporting systems that enhanced decision-making, driving a 10% increase in revenue and reducing expenses by 5%.
3. I conducted in-depth market analysis using Tableau to visualize trends, enabling energy solutions businesses to make informed strategic decisions. I collaborated across teams to implement sales strategies aligned with company goals.
4. Leading a Technical Surveillance Analysis team, I analyzed data from field agents and bugs to provide actionable intelligence. My work contributed to strategic decision-making and client acquisition initiatives.
In addition to my industry experience, I have developed machine learning models for fraud detection, built recommendation systems, and optimized marketing budgets. I thrive on solving complex problems and driving business outcomes through data.
Core Skills:
Data Analysis: Python, R, SQL, Tableau, Power BI
Machine Learning: Logistic Regression, Time Series, Random Forest
Business Strategy: Lead Scoring, A/B Testing, Market Research
Project Management: Cross-functional Collaboration, Stakeholder Engagement, Data Structures
I am passionate about applying data analytics inMore...