An experienced data professional with 7+ years of experience working in analytics, I have always been fascinated with the role data plays in our day-to-day life. With data being the omnipresent truth that can derive meaning I hope to utilize this passion to better understand the underlying story behind data. Currently, in my role at Chargebee, working on Subscription Management SaaS products, I work closely with the Product teams to analyze the impact of features and provide recommendations in a clear, understandable, and applicable way to affect future iterations and set up north star metrics to turn insights into actions. With a proven ability to enhance data transparency, mentor team members, and support strategic decision-making through actionable insights. Previously working as an Analyst at Accenture and CMG Financial I got the opportunity to work with large cross-functional teams dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Having experience working large datasets performing quantitative analysis, writing SQL Procedures, and implementing various automation projects to deliver consistent results in a timely manner. I am passionate about learning new technologies and be part of a diverse, high-performing team that can make a difference. Competencies: Data Analytics, Data Mining, and Wrangling, Data Science, Machine learning, Data Visualization, Statistical Analysis Core Skills: Data Analysis, Data visualization, Data Transformation, Statistical Analysis, A/B Testing, Data Modeling Programming Languages: Python, R, SQL, MySQL, GCP, Redshift, PostgreSQL, Other Tools: Tableau, Power BI, Domo, Airflow, AWS Bedrock, Splunk, Oracle, Linux, Jupiter, GitHub, R Studio, Excel