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Data Scientist with 5+ years of analytical expertise in finance
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Competencies
Extensive experience in scripting, data analysis, and machine learning model development using Python.
Proficient in interpreting complex datasets to extract actionable insights for business strategies.
Applied machine learning techniques to build predictive models for risk management and fraud detection.
Experienced in designing and querying databases to support analytical and reporting needs.
Education
Summary
Experienced data scientist specializing in financial analytics, machine learning, and data-driven decision making.
Key Achievements
- Led development of predictive models resulting in streamlined credit risk assessment processes
- Built and deployed machine learning algorithms to enhance fraud detection systems
- Collaborated with cross-functional teams to implement data strategies improving decision-making
Experience
Senior IT Coordinator
Delivered end user support through different channels (phone, emails, tickets)., Provided remote support assistance (Bomgar) to reduce MTTR and improve service delivery., Diagnosed Tier 1–2 incidents involving Windows OS, macOS, Office 365, VPN, and network configurations., Delivered technical onboarding and support for distributed teams via Teams, Outlook, and SharePoint., Supported end users with application deployment and updates via Software Center (SCCM/Intune)., Conducted root cause analysis and documented solutions to enhance the knowledge base and reduce repeat incidents., Managed incident queues and ticket escalation to ensure SLA compliance through Service Now., Created and supported Adobe Certificates for secure document workflows., Managed account administration in Microsoft Entra ID, including password resets, group assignments, and MFA configuration to strengthen security., Used on-premises Active Directory for BitLocker recovery, account management, group assignments, and password resets.
VM Azure Engineer II
Provisioned and managed Azure IaaS resources including VMs, storage, virtual networks, and NSGs., Automated deployments using ARM templates and PowerShell scripts for consistent infrastructure delivery., Implemented RBAC and managed identities to secure cloud resources and enforce least-privilege access., Monitored infrastructure health with Azure Monitor and Log Analytics, resolving performance bottlenecks., Supported hybrid cloud integrations using VPN gateways and ExpressRoute for seamless connectivity., Coordinated software rollouts and updates, maintaining SLA compliance and minimizing downtime.
Customer Service Representative
Answered constant flow of customer calls with minimal wait times., Offered advice and assistance to customers, paying attention to special needs or wants., Educated customers about billing, payment processing and support policies and procedures., Utilized customer service software to manage interactions and track customer satisfaction., Assist customers with Web/App tier 1 technical assistance by confirming their identity, updating their information, and providing 2FA codes to fix login problems.
Service/ Sales Representative AT&T
Showcased product features to customers and discussed technical details to overcome objections and lock in sales., Selected correct products based on customer needs, product specifications and applicable regulations., Handled customer inquiries and high-volume calls to solve billing and ordering problems, independently resolving 100% of issues., Kept detailed records of daily activities through online customer database., Set and achieved company defined sales goals., Followed up with customers after completed sales to assess satisfaction and resolve technical or service concerns., Informed customers of sales and promotions to build customer base, boost traffic and increase customer loyalty., Met existing customers to review current services and expand sales.