Madhav SharmaMS
Open to opportunities

Madhav Sharma

@madhavsharma

Results-driven data analyst with expertise in predictive analytics.

United States

What I'm looking for

I am looking for a role that offers growth opportunities and values data-driven decision-making.

I am a results-driven data analyst with over 5 years of experience leveraging data analytics and business intelligence to drive process improvement and informed decision-making. My expertise lies in data modeling, predictive analytics, and stakeholder engagement, enabling me to uncover insights and optimize operations to achieve business goals.

Throughout my career, I have developed a strong ability to analyze large datasets and deliver data-driven solutions that enhance business performance. I am proficient in SQL, Python, SAS, Tableau, and Power BI, which I utilize for advanced analytics, visualization, and reporting. My experience includes executing real-world data analytics projects, designing A/B tests, and developing interactive dashboards that present complex data in a visually compelling manner.

In my previous roles, I have successfully partnered with cross-functional teams to design predictive models, streamline data workflows, and establish best practices for data analysis and reporting. I am passionate about fostering a collaborative work environment and driving cross-functional success, ensuring alignment of analytics initiatives with organizational objectives.

Experience

Work history, roles, and key accomplishments

PI

Sales/Marketing Analyst

PepsiCo Inc.

Jan 2019 - Sep 2023 (4 years 8 months)

Analyzed sales and marketing data to identify trends, leading to a 10% reduction in marketing costs. Developed predictive models and interactive dashboards to enhance data-driven decision-making and streamline data workflows.

Education

Degrees, certifications, and relevant coursework

Colorado State University Global Campus logoCC

Colorado State University Global Campus

Master of Science, Data Analytics

2021 - 2023

Completed a Master of Science in Data Analytics, focusing on advanced data analysis techniques, predictive modeling, and business intelligence. Developed skills in SQL, Python, and SAS for data-driven decision-making and process improvement.

Tech stack

Software and tools used professionally

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