MOHD ASHHAD

• Analyzed customer data using Python (Pandas) and SQL to generate actionable CRM insights, improving business
decision - making accuracy by 30%.
• Built and maintained Power BI dashboards tracking key tracing key CRM KPIs - lead conversion rate, customer
churn, average deal size, and monthly recurring revenue.
• Performed Customer segmentation using RFM (Recency, Frequency, monetary) analysis to classify 3, 000+ customers
into actionable groups for targeted outreach.
• Developed automated web scraping scripts using Beautiful Soup and Selenium to collect competitor pricing and
customer review data, reducing manual effort by 40%.
• Conducted end-to-end data cleaning and preprocessing on raw CRM exports ensuring 98% data accuracy and
consistency for monthly reporting.
• Created weekly and monthly sales performance reports using MS Excel and Power BI, delivering insights on win
rates, pipelines health, and churn trends.
• Identified top customer segments contributing to 65% of total revenue using Matplotlib and seaborn visualizations,
enabling focused marketing campaigns.
• Automated recurring CRM data reports using Python scripts, saving the team 5+ hours of manual effort every week.
• Collaborated with sales and marketing teams to map customer journey touchpoints and identify funnel drop-off
areas, contributing to a 15% improvement in lead conversion.