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I will do web scraping and data mining for market research and competitor analysis
🚀https://www.fiverr.com/s/WE5jR65
#webscraping #datascraping #dataanalysis #marketresearch
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Hi there! 👋 Welcome to my profile. You’ve just found a professional who combines finance expertise, data precision, lead generation skills, and creative content production—all in one place. Whether you’re a busy entrepreneur, a small business owner, or a corporate professional, I’m here to help you save time, stay organized, and grow your business with reliable support.
🏦 Bank Statement Reconciliation & Conversion
📊 Fast & Reliable Data Entry + Admin Support
📧 Lead Generation & Contact Research
👉 I’m here to make your work easier, faster.
Retail Banking Analytics: Optimizing Customer Engagement and Business Performance
This project focused on analyzing retail banking data to uncover customer behavior patterns, product adoption trends, and opportunities for business growth. Through exploratory data analysis and visualization, key factors influencing customer engagement and banking product usage were identified.
The objective was to transform raw banking data into actionable insights that can support strategic decision-making, improve customer retention, and optimize product marketing efforts.
Key Features
• Customer segmentation and behavioral analysis
• Product adoption and usage trend evaluation
• Identification of high-value customer groups
• Data-driven insights for targeted marketing strategies
• Interactive visualizations to support decision-making
Business Impact
The analysis helps financial institutions better understand customer needs, identify growth opportunities, and develop more effective customer acquisition and retention strategies.
Technologies
Python • Pandas • NumPy • Data Visualization • Statistical Analysis • Business Intelligence
Developed an interactive crime analytics solution using UK crime data to identify crime patterns, regional hotspots, and long-term trends. The project involved data cleaning, exploratory data analysis, and visualization to uncover insights that can support public safety initiatives and data-driven decision-making.
The dashboard provides a comprehensive view of crime distribution across regions, crime categories, and time periods, enabling users to monitor trends, compare locations, and identify areas requiring intervention.
Key Features
• Crime trend analysis across multiple years
• Regional crime hotspot identification
• Crime category distribution and comparison
• Interactive visualizations for decision support
• Data-driven insights to support public safety planning
Technologies
Python • Pandas • Data Visualization • Power BI • Statistical Analysis • Dashboard Development
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