Mubashiruddin Syed
Data Analyst | Data Visualization & Advanced Analytics | SQL, Python, PowerBI, Tableau, Excel | Actively Looking for Full-Time Opportunities.
- Role
- Data Analyst at Mastercard
- Location
- Farmington, MI, US
- LinkedIn followers
- 500 followers
About Mubashiruddin Syed
I am a Data Analytics Professional with 4+ years of experience transforming complex datasets into actionable insights through SQL, Python, Tableau, Power BI, and advanced analytics. Skilled at designing end-to-end data pipelines, interactive dashboards, and predictive models, I help organizations make smarter, data-driven decisions.I built scalable data solutions that reduced processing time, automated KPI reporting, and improved executive decision-making with real-time dashboards. My background also includes experience in fraud detection, risk analysis, and forecasting, leveraging tools like Snowflake, Databricks, GA4, and AWS Redshift to deliver measurable business impact.I specialize in:Data Visualization & Storytelling (Tableau, Power BI, Looker Studio)Data Engineering & ETL (SQL, Python, Snowflake, Databricks)Advanced Analytics (A/B Testing, Hypothesis Testing, Predictive Modeling, Machine Learning Basics)Business Insights (KPI Tracking, Forecasting, Customer Segmentation, Fraud Detection)With a Master’s in Business Analytics (GPA 3.8/4.0) and certifications from Google, IBM, and SQL for Data Science, I bring both technical expertise and business acumen to support strategic decisions.I am passionate about data storytelling, automation, and applying generative AI in analytics to drive efficiency and innovation. Open to opportunities where I can contribute to impactful data strategies and collaborate in dynamic, fast-paced environments.
Experience
Data Analyst
Sep 2023 — Present
Built and optimized end-to-end data pipelines using SQL, Snowflake, and Databricks, reducing data processing time by 35%.• Designed interactive executive dashboards in Tableau and Power BI for real-time business performance tracking.• Conducted ad-hoc analysis on large-scale transaction datasets to identify spending patterns and detect anomalies.• Collaborated with cross-functional teams to migrate reporting workflows to cloud environment, improving scalability and security.• Partnered with data scientists to support machine learning model development for fraud detection and customer segmentation.• Automated KPI reporting using Python scripts, reducing manual reporting efforts by 20 hours per month.
Education
Trine University
Master’s in Business Analytics
2023 — 2024
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.