📊 I'm a Data Scientist with a passion for leveraging machine learning models and conducting analysis to address business needs. In addition to my data analysis expertise, I enjoy incorporating management strategies to effectively scale my analyses to meet evolving requirements.
📚 Graduated in December 2024 with a Master's in Information Technology & Analytics Degree from Rutgers Business School - Newark
💻 Working as a Data Analyst at Merck, I provide teams with the solutions to analytical requirements and support product and business development strategies with my problem-solving capabilities
- In my current role at Merck, I bring an analytical and solution-oriented mindset to solving complex Operations business problems. I work across areas including Finance, Workforce, Vendor Management, and Demand, helping develop scalable data and technology solutions.
- I work on building an Operations product that brings together dashboards, analytics, and agentic AI solutions, making insights and analytical capabilities more accessible across different operational teams.
- As a Solutions Architect, I work closely with stakeholders to understand business processes, requirements, and pain points, and translate them into analytical solutions, dashboards, data products, or agentic workflows.
- I also perform ad-hoc analyses, develop Power BI dashboards, and write Python scripts to automate data cleaning and repetitive processes, with a focus on improving efficiency and enabling data-driven decision-making.
- In my previous role at Gramhal, I worked extensively on analyzing data to uncover product insights, user behavior patterns, and performance opportunities, using these findings to support product and business decisions.
- I contributed to product development from ideation through execution, working closely with cross-functional teams to translate problems into data-driven and technology-enabled solutions.
- Working in a small and dynamic team allowed me to take on multiple responsibilities, from data analysis and experimentation to dashboard development, product feature development, and reporting.
- This experience helped me develop a strong interest in the intersection of Data, Product, and Business, while strengthening my ability to approach ambiguous problems and turn them into actionable solutions.
- Deepening knowledge of model deployment and best practices
- Enhancing skills in data analytics and product analytics
- Exploring BI tools for comprehensive data visualization
- Delving into aspects of Product Management for a well-rounded skill set
🖇️ LinkedIn
🖇️ Portfolio