About
Senior Data Analytics Specialist with over 5 years of experience in Financial Services and Securities, leveraging expertise in predictive analysis, data visualization, and automated anomaly detection to optimize business intelligence platforms. Proven ability to drive actionable insights from complex data, enhance regulatory compliance, and improve system performance by up to 80% using Python, SQL, Tableau, and AWS cloud-native solutions.
Work
T. Rowe Price
|Senior Data Analytics Specialist - Financial Services Platform
Baltimore, Maryland, US
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Summary
Spearheaded advanced data analytics initiatives for T. Rowe Price's Financial Services Platform, delivering critical business intelligence and regulatory compliance through sophisticated predictive modeling and data visualization.
Highlights
Drove analytical capabilities for Counterparty Credit Risk (CCR) systems, analyzing complex relationships across client entities, financial accounts, and collateral to derive actionable business insights.
Enhanced enterprise data models by implementing predictive analysis and anomaly detection systems for Client and Entitlement Data, supporting 50+ financial applications with advanced portfolio analytics and risk forecasting.
Designed and implemented comprehensive data visualization solutions using Tableau and Python, creating interactive dashboards and multi-paneled reporting systems for real-time risk calculations and historical trend analysis.
Improved analytical system response times by 60% for complex financial calculations through systematic testing, query optimization, and database tuning strategies.
Implemented robust data quality and verification processes, including automated anomaly detection systems, achieving 99.5% data accuracy for regulatory compliance.
Mentored and trained over 100 business users and analysts, providing deep analytical insights and creating comprehensive documentation to enhance data literacy across multiple business units.
Led analytics enhancement for the Counterparty Credit Risk platform, managing $500B+ assets under management through advanced predictive modeling and risk visualization, achieving 75% improvement in processing speed for complex risk aggregations.
Se2
|Data Analytics Developer
Topeka, Kansas, US
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Summary
Developed and enhanced customer and credit risk analytics platforms for Se2, leveraging advanced data modeling, predictive analytics, and business intelligence solutions to drive data-driven decision-making.
Highlights
Created comprehensive analytical data models for customer analytics and credit risk platforms using Tableau, Python, and SQL, designing schemas for financial accounts and customer transactions.
Enhanced customer analytics by implementing data mining techniques to standardize client demographic and financial behavior analysis, enabling consistent analytical consumption across 25+ business intelligence applications.
Improved analytics performance by 80% for large-scale customer insights and reporting systems through predictive analytics enhancements using PostgreSQL and AWS cloud-native analytics.
Collaborated with business stakeholders to deploy and populate analytical data models, implementing automated data collection and validation frameworks using Python, Excel, and SQL scripting.
Established comprehensive analytics lineage tracking across multiple databases, creating automated documentation and impact analysis tools for regulatory compliance and change management.
Maintained analytical data quality standards within analytics models and business intelligence interfaces by implementing comprehensive validation rules and automated anomaly detection systems using SQL and Python.
Zensar Technologies
|Analytics Developer
Pune, Maharashtra, India
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Summary
Developed and optimized financial analytics and data mining solutions for Zensar Technologies, focusing on trading and portfolio management platforms, data quality, and cloud-native architectures.
Highlights
Developed comprehensive analytical models for Securities trading and portfolio management platforms, designing complex schemas for trade analytics, execution analysis, and position tracking across multiple asset classes.
Created advanced Financial analytics models for ETF basket analytics and portfolio intelligence using SQL, Python, and Excel, implementing temporal analytics management for regulatory compliance.
Enhanced trading analytics platforms by implementing data mining techniques, standardizing security master and client account analytics for consistent analytical consumption across trading desks.
Implemented comprehensive analytics solutions using SQL and NoSQL technologies, including MongoDB, to create hybrid architectures supporting structured and unstructured financial analytics.
Optimized analytical model performance for real-time and batch analytical use cases by implementing partitioning strategies, materialized views, and caching mechanisms for microsecond-level trade analytics.
Maintained analytical data quality standards through comprehensive validation frameworks and automated anomaly detection systems, implementing business rule engines.
Provided technical analytics training and documentation to development teams and operations staff, reducing development time by 40%.
Education
University of Kansas
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Master of Science
Computer Science
Courses
Database Systems
Data Analytics
Predictive Modeling
Business Intelligence
Financial Engineering
Machine Learning
Statistical Analysis
Chameli Devi School of Engineering
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Bachelor of Engineering
Information Technology
Courses
Database Management Systems
Data Analytics
Business Intelligence
Software Engineering
Statistical Methods
Systems Analysis
Certificates
AWS Certified Database Specialty
Issued By
Amazon Web Services
AWS Certified Solutions Architect Associate
Issued By
Amazon Web Services
Tableau Desktop Specialist
Issued By
Tableau
Microsoft Excel Expert
Issued By
Microsoft
Alteryx Designer Core
Issued By
Alteryx
Data Analytics Professional (CDMP)
Issued By
DAMA International
Skills
Analytics & Visualization
Tableau, Power BI, Excel Advanced Analytics, Interactive Dashboards, Multi-paneled Reporting, Data Visualization, Predictive Analysis, Statistical Analysis, Business Intelligence.
Data Analytics Tools
SQL, Alteryx, Python, R, SAS, SPSS, Jupyter Notebooks, Google Analytics, Advanced Excel (Pivot Tables, Power Query, VBA), Data Mining Tools.
Financial Domain Expertise
Financial Services, Securities Industry, Client & Entitlement Data, Financial Accounts, Transactions Analytics, Portfolio Analytics, Risk Analytics, Regulatory Reporting, GSM, AXP Business Intelligence.
Database & Analytics Platforms
MS SQL Server, Oracle, PostgreSQL, MySQL, ANSI SQL, Query Optimization, Data Warehousing, OLAP, Data Marts, Analytics Database Design.
Data Processing & Quality
Data Collection Procedures, Data Processing, Data Cleansing, Data Integrity Verification, Anomaly Detection Systems, Data Quality Monitoring, ETL Analytics.
Cloud & Modern Analytics
AWS (RDS, Redshift, DynamoDB, S3, QuickSight), Azure Analytics, Cloud-Native Analytics, Data Lakes, NoSQL Analytics, MongoDB Analytics.
Programming & Automation
Python, SQL, R, ANSI SQL, T-SQL, PL/SQL, Shell Scripting, Analytics Pipeline Creation, Automated Reporting, API Integration.
Interests
Professional Development
Data Analytics Association (DAMA), International Association for Business Intelligence and Analytics (IABIA), Financial services analytics best practices, Emerging analytics technologies discussion forums.
Community Involvement
Mentoring junior analytics professionals, Data visualization specialists, Promoting diversity and inclusion in analytics teams.