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maantheanalyst

MaanTheAnalyst

@maantheanalyst

Data Analyst

Pakistan
Anglais, Ourdou, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
Hi, I'm Usman! I help business owners and teams turn messy data into clear answers, interactive dashboards, and executive-ready reports. No tech background needed — I handle everything using Python,Excel, and Power BI. How I can help: • Clean & organize messy datasets • Uncover hidden sales trends & customer behavior • Build interactive Power BI dashboards with KPIs • Deliver plain-English executive summaries I've worked with datasets from 1,000+ records to 50,000+ rows, focused on clear communication and practical results. Message me and let's turn your raw data into growth.... Plus d’infos

Compétences

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maantheanalyst
MaanTheAnalyst
hors ligne • 
Temps de réponse moyen de 3 heures

Voir mes services

Consulting en analyse de données
I will do excel analysis, reporting and provide business insights
Consulting en analyse de données
I will python data analysis and eda using pandas

Portfolio

Expérience professionnelle

GitHub

GitHub

Indépendant • 1 mo

Data Analyst

Feb 2026 - Feb 20260 mos

Cleaned and structured a raw dataset of 1,000+ customer profiles, resolving inconsistencies and converting raw attributes into clean analytical classifications. Built advanced Excel pivot tables to analyze purchase behavior across income, education, occupation, and commute distance. Designed an interactive executive dashboard with slicers to filter sales trends across global regions, uncovering customer personas linked to purchase likelihood.

Data Analyst Trainee

Jan 2026 - Feb 20261 mo

ompleted a hands-on Data Analyst Bootcamp covering Python (Pandas, NumPy), SQL, Power BI, and Excel. Applied these tools to real-world style datasets through data cleaning, exploratory data analysis, dashboarding, and end-to-end pipeline building, gaining practical experience translating raw data into business insights.

Data Analyst

Nov 2025 - Nov 20250 mos

Cleaned and validated a 51,000+ row Superstore dataset using Python/Pandas, including data-type conversion, missing-value and duplicate checks, and standardization. Performed EDA to explore relationships between discounts, sales, profit, and shipping costs across customers, segments, and categories. Loaded the cleaned dataset into MySQL and used SQL to answer business questions through aggregation and filtering, preparing the data for Power BI dashboarding.