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krubusinessdata

Krunal Vaghela

@krubusinessdata

Data Analyst

India
Inglese, Francese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Hi, I'm Krunal, a Data Analyst specializing in Excel, SQL, Power BI, Tableau, and Python. I help businesses clean, analyze, and visualize data to create interactive dashboards and actionable insights. With 20+ years of business experience, I understand real-world business challenges and deliver accurate, reliable solutions. My services include: • Excel Data Cleaning and Automation • SQL Queries and Database Analysis • Power BI Interactive Dashboards • Tableau Data Visualization • Python Data Analysis and Reporting I am committed to quality work, clear communication, and on-time delivery.... Continua a leggere

Competenze

k
krubusinessdata
Krunal Vaghela
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Formattazione dati
I will do excel data cleaning, formatting, formulas, pivot tables, and dashboard
Modello statistico e analisi
I will analyze customer purchase behavior and buying patterns

Portfolio

Esperienza lavorativa

Easy_Skill Career Academy

Data Analyst & Data Science Practitioner

Easy Skill Career Academy • Full time

Apr 2023 - Sep 2026 • 3 yrs 5 mos

Worked on data analytics and data science projects involving data cleaning, data preprocessing, exploratory data analysis (EDA), and customer segmentation. Used Python, Pandas, NumPy, Matplotlib, and machine learning techniques to analyze datasets and identify meaningful patterns. Applied K-Means Clustering, an unsupervised machine learning algorithm, to segment customers based on relevant features and behavioral patterns. Evaluated customer groups, interpreted clustering results, and developed data-driven insights to support business decision-making and marketing strategies.

Uncodemy

Excel, Data Analytics & Data Science Specialist

Uncodemy • Full time

Mar 2021 - Mar 2023 • 2 yrs

Specialized in Microsoft Excel, data cleaning, data formatting, data validation, formulas, PivotTables, and reporting. Worked with data analytics and data science techniques to transform raw data into meaningful insights using Excel, SQL, Python, Power BI, and Tableau. Performed exploratory data analysis, identified trends and patterns, created visualizations and reports, and applied machine learning techniques such as K-Means Clustering for customer segmentation. Focused on data-driven insights to support business decisions, understand customer behavior, and improve business performance.