Meg User
@meguser2
Aspiring data analyst passionate about actionable insights from data.
What I'm looking for
I am a Data Analyst aspirant with a passion for transforming data into actionable insights. My technical skills in Python, SQL, Excel, and Power BI, combined with my business acumen, allow me to connect the dots in data effectively. I thrive on challenges and have a curious mind that drives my insatiable hunger for knowledge.
Throughout my academic journey at Sri Sairam Engineering College, I have been recognized for my academic excellence and consistency. I have led documentation and emcee committees, showcasing my strong communication and leadership abilities. My projects, such as the RFM analysis for customer segmentation and the interactive Power BI dashboard, highlight my capability to apply data analysis techniques to real-world scenarios, ultimately aiding businesses in making informed decisions.
Experience
Work history, roles, and key accomplishments
Power BI Dashboard Developer
Personal Project
Created an interactive Power BI dashboard featuring real-time KPIs and dynamic Last N Months slicers for performance monitoring. Implemented Pareto charts and dynamic Top N / Bottom N ranking slicers to identify high and low-performing products and stores, supporting data-driven business decisions.
Data Analyst - RFM Segmentation
Personal Project
Explored customer purchasing behavior using the Northwind Traders dataset, implementing RFM segmentation to classify customers into six strategic categories for targeted marketing. Developed a dynamic RFM model to segment customers into actionable profiles, identifying key churn indicators and recommending re-engagement strategies.
Education
Degrees, certifications, and relevant coursework
SRI SAIRAM ENGINEERING COLLEGE
B.Tech, Computer Science and Business Systems
Grade: 9.09/10.00
Activities and societies: Lead of Documentation committee and Emcee Committee
Pursued a B.Tech in Computer Science and Business Systems, focusing on the integration of technology and business principles. Recognized for Academic Excellence and Consistency in 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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