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Bilal Ahmad
@dataanalytsic1
Transforming Raw Data Into Actionable Business Insights That Drive Growth
Pakistan
Englisch, Urdu, Paschtunische Sprache, Hindi
Über mich
Losing hours in messy data with no clear answers? I help businesses turn raw data into organized files, interactive dashboards, clear reports, and actionable insights.
I’m Bilal Ahmad, a business-focused Data Analyst skilled in Python, SQL, Excel, Power BI, DAX, Pandas, NumPy, Matplotlib, Seaborn, data cleaning, EDA, statistics, visualization, data modeling, reporting, and business intelligence.
I’ve analyzed 40+ datasets and built 20+ dashboards across sales, customer behavior, and financial analysis, including Amazon, Apple, and Quantium projects.
Send your data and goals before ordering.
Kompetenzen
Bilal Ahmad
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Automatisierungen
I will clean excel CSV data with python
Daten-Dashboards
I will build power bi business dashboards
Portfolio
Arbeitserfahrung
Member, Enterprise Technology & Market Research
451 Alliance • Vollzeit
Jan 2026 - Present • 9 mos
Participate in enterprise technology and market research activities as a member of the S&P Global 451 Alliance, contributing feedback through surveys and discussions. Stay current on industry trends, technologies, and business insights relevant to data analytics.
Data Analyst Intern
Primeor Solutions • Vollzeit
Aug 2026 - Sep 2026 • 1 mo
Completed a remote Data Analyst internship at Primeor Solutions, working with the Data Analytics team on real-world data projects. Delivered a full data cleaning and preparation project on a 25,000+ row retail dataset — handling duplicates, formatting inconsistencies, data type corrections, and outlier investigation — then presented findings in a client-ready format.
Data Analyst Intern
decodelabs • Vollzeit
Jul 2026 - Aug 2026 • 1 mo
Completed a remote Data Analyst internship at Decode Labs — cleaned and verified a 1,200-row orders dataset, conducted end-to-end EDA with statistical testing (ANOVA), built dashboards to communicate findings, and completed a follow-up SQL-based analysis milestone.
