Ajaykumar Jaiswar
@ajaykumarjaiswar
I build SQL and Power BI analytics that uncover revenue and retention opportunities.
What I'm looking for
I've built end-to-end business intelligence solutions using SQL, Python, MySQL, and Power BI to uncover churn, retention, and revenue opportunities.
In my RetailPlus customer segmentation project, I analyzed 1,468 customers, identified ₹2.16M in revenue exposure linked to churn, and highlighted a 3–6% revenue recovery opportunity through an executive dashboard. I used RFM segmentation and statistical testing to validate churn and revenue differences across customer groups.
For Shopease, I analyzed roughly 16K customers and more than 1M events with SQL and Google BigQuery, identifying checkout leakage, 90-day churn, and revenue concentration trends. I developed an interactive Power BI dashboard for funnel, retention, and revenue KPIs.
After earning a Civil Engineering degree from Mumbai University, I transitioned into data analytics through self-directed learning, hands-on projects, and certifications in SQL, Python, Power BI, and statistical analysis.
Experience
Work history, roles, and key accomplishments
Data Analyst
Shopease
Self-directed project analyzing e-commerce funnel and retention data using SQL and BigQuery, developing executive dashboards and recommendations.
Data Analyst
Self Employed
Built end-to-end business intelligence solutions for customer segmentation, churn analytics, and revenue analysis, identifying significant revenue exposure and recovery opportunities.
Education
Degrees, certifications, and relevant coursework
Mumbai University
Bachelor of Engineering, Civil Engineering
Pursued a Bachelor of Engineering in Civil Engineering, transitioning to data analytics through self-directed learning and certifications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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