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asiminsights

AsimChakraborty

@asiminsights

Data Analyst for Excel SQL Python and Power BI

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I help businesses transform raw data into clean datasets, interactive dashboards, and actionable insights. My services include: • Data cleaning and analysis using Excel and Python • SQL queries and reporting using PostgreSQL • Power BI dashboards and KPI reporting • Sales, customer, and operational analytics • Data visualization and business reporting My workflow: Data Audit → Cleaning → Analysis → Visualization → Validation → Insights. I focus on accurate results, clear communication, and practical recommendations that help businesses make better decisions.... Mehr lesen

Kompetenzen

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asiminsights
AsimChakraborty
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Daten-Dashboards
I will build a power bi sales and business performance dashboard
Ab25 $ / ProjektWeitere Details
Marketing-Analysen
I will analyze your customer retention and churn data using python
Ab35 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Self_Employed

Data Analyst

Self Employed • Freiberufler

Jan 2026 - Present • 10 mos

I specialize in transforming raw datasets into structured, reliable, and actionable business insights through data analysis, business intelligence, and visualization. My experience includes developing end-to-end analytics projects involving data cleaning, SQL analysis, Python-based data processing, and interactive Power BI dashboards. Key Responsibilities and Project Experience • Cleaned, transformed, and validated large datasets using Microsoft Excel, Power Query, and Python. • Extracted, analyzed, and organized business data using PostgreSQL, SQL queries, joins, CTEs, and window functions. • Developed interactive Power BI dashboards with KPI tracking, data modeling, and DAX calculations. • Conducted sales and profitability analysis to identify revenue patterns, margin performance, and business opportunities. • Performed customer cohort analysis to evaluate retention patterns and customer behavior. • Analyzed transactional data to identify fraud patterns, suspicious activities, and potential risk indicators. • Created analytical visualizations using Python libraries, including Pandas, NumPy, and Matplotlib. • Documented analytical findings, validated calculations, and translated results into practical business recommendations. Tools and Technologies Microsoft Excel | Power Query | PostgreSQL | SQL | Python | Pandas | NumPy | Matplotlib | Power BI | DAX My approach focuses on understanding business requirements, ensuring data accuracy, selecting appropriate analytical methods, and delivering clear, well-documented results. I aim to help businesses make informed decisions through reliable analysis, meaningful reporting, and effective data visualization.