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Data Scientist with 5 years of experience in financial analytics
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Competencies
Utilized Python for data analysis, model development, and automation tasks.
Applied machine learning algorithms to build predictive models for financial data.
Created dashboards and visual reports for stakeholders using tools like Tableau and Power BI.
Designed and optimized complex queries for large-scale data retrieval and analysis.
Managed large datasets ensuring data quality and integrity for analytical projects.
Education
Summary
Specialized in developing predictive analytics and automation solutions for the finance industry.
Key Achievements
- Developed predictive models improving loan approval accuracy by 15%
- Led a team of 4 analysts to implement a new data processing pipeline
- Automated reporting processes, reducing manual effort by 50%
Experience
Virtual Receptionist
Answer about 60–70 calls per day, Take messages for clients, Book or cancel appointments, Provide information about the services offered by the client
Maintenance Manager
Handled maintenance requests, Answered phone calls, Communicated directly with tenants via phone call, text or email, Provided daily updates in morning meetings regarding the requests submitted
Assistant Property Manager
Handled maintenance requests, Answered main office phone calls, Communicated directly with tenants via phone call, text or email, Set up showings and scheduled them for the showing assistants, Scheduled photographers to photograph properties, Followed up with prospective tenants and current tenants, Put houses on the market, watermark photos, submit to MLS, BUILDIUM, Facebook Marketplace
Customer Service Representative
Participated in various campaigns such as Healthcare, T-Mobile technical support and T-Mobile Chat Sales, Multitasked by responding to 4 or more chats at a time while entering information into Salesforce, Used probing questions to meet the customers’ needs