I seek a data-focused role where I can apply Excel, SQL, Python and visualization to drive decisions, collaborate remotely and grow into higher-impact analytics responsibilities.
Sheikh Muhammad Jawad Ahmed
@s-m-jawad-ahmed
Data & Business Analyst unlocking hidden data patterns to drive growth and shape smarter business strategies.
What I'm looking for
I am a Data & Business Analyst with hands-on experience in Excel, SQL, Python, R and BI tools such as Tableau, Power BI and Looker Studio. I have completed multiple analytics internships and industry certifications, led cross-timezone teams, integrated large multi-dataset pipelines, and delivered dashboards and models that informed product, marketing and operations decisions.
My projects include building ETL pipelines in PostgreSQL, analyzing 5.64M-ride Cyclistic data in BigQuery/R and developing a Random Forest churn model; I focus on rigorous data cleaning, clear visualization and actionable recommendations that drive measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Data & Business Analyst (Project)
Cyclistic Case Study
Aug 2025 - Sep 2025 (1 month)
Merged and cleaned 12 monthly BigQuery datasets (5.64M rides), performed EDA in R, built interactive Tableau dashboards, and proposed a 90-day pilot to increase membership conversion by ~1.5 percentage points.
Data Visualization Associate
Excelerate
Apr 2025 - May 2025 (1 month)
Led a global cross-timezone team to deliver a multi-dataset analytics project, integrated 300K+ records with a documented PostgreSQL ETL pipeline, and designed a Looker Studio dashboard used by non-technical stakeholders.
AI Data Analyst Intern
Excelerate
Mar 2025 - Apr 2025 (1 month)
Cleaned and validated data with spreadsheets and Python, developed and tested a Random Forest churn model to identify at-risk users, and delivered reports that informed weekly strategy.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science with an expected completion in 2028, focusing on data analysis, programming, and computing fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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