Dattatray Kadam

Client-2 | AML Transaction Monitoring Optimization (January 2023 - Present)

• Leveraged Python and SQL to execute queries, extracting transactional data accurately from Oracle SQL server in alignment with scenarios outlined in BRS documents.
• Utilized Tableau for data visualization and Excel for reporting to implement data quality checks, ensuring compliance with AML rules. Identified potential concerns and escalated them to senior management to mitigate potential bank losses.
• Conducted comprehensive data mapping, mining, modeling, cleaning, and quality assessments, analyzing scenario logic and applicability to geographical contexts in line with business expectations and global AML standards.
• Proposed strategic approaches, utilizing Python for data manipulation, cleaning, and analysis, to reduce false positive alerts by 20% across various scenarios, enhancing efficiency in AML transaction monitoring processes.
• Developed and delivered comprehensive reports, highlighting optimal threshold ranges and providing other relevant details to facilitate informed decision-making and compliance efforts, enhancing efficiency in data processing and automation.

Client-1 | Trade Surveillance & Transaction Monitoring (April 2022 - December 2022)

• Conducted comprehensive reviews of Trade Surveillance Models using Python and SQL, analyzing design, specifications, and thresholds for various control measures as per business requirements.
• Applied Data Governance practices for assessing Data Quality Impact and resolving Data Quality Queries efficiently.
• Collaborated closely with key stakeholders to understand their requirements. Utilized Python for data manipulation, cleaning, mining, modeling, and analysis, and SQL for database querying during Model Validation. Conducted Model Validation by empirically evidencing various statistical analyses on sample data from ingested feeds, ensuring the models' accuracy and effectiveness.
• Produced detailed reports outlining any identified issues or recommendations regarding Threshold Values during the Model Validation Process.
• Prepared Model Validation Reports and Model Documentation Templates (MDTs) using Word for Independent Model Review Panels, ensuring transparency and accountability in the validation process. Utilized Power BI for data visualization and reporting, enhancing the presentation and communication of insights derived from the validation process.

• Performed gap analysis to identify areas of improvement, leading to a 15% increase in process efficiency.
• Actively participated in team meetings to share knowledge, exchange ideas, address challenges, and collaborate on potential solutions, improving team performance by 10%.
• Provided quality assurance for imported data, collaborating with quality assurance analysts when necessary to maintain data integrity and reliability, reducing data errors by 20%.
• Utilized Excel and Word proficiency to allocate executive tasks and efficiently managed complex calendars and administrative functions, optimizing organizational efficiency and productivity by 25%.
• Utilized Excel and Word proficiency to allocate executive tasks and efficiently managed complex calendars and administrative functions, optimizing organizational efficiency and productivity.
• Successfully accomplished special objectives as requested by board members, demonstrating adaptability and responsiveness to evolving organizational needs..
• Leveraged Tableau skills for data visualization and reporting, enhancing the presentation and communication of insights derived from data management processes.