A Techno Functional Professional with dynamic career of 16 years that reflects rich Australia, USA, Singapore & Indian experience and year-on-year success in Data Analytics, Data Governance & Management, Controls, Transf…
A Techno Functional Professional with dynamic career of 16 years that reflects rich Australia, USA, Singapore & Indian experience and year-on-year success in Data Analytics, Data Governance & Management, Controls, Transformation & Change.
Indexed & analysed millions of food price observations
Pre-processed the food price data received from different countries
Created a food price predictive model for a sample of premise food staples price observations
Evaluated the reliability & utility of data source information
Attended business analysis sessions
Worked as Member of BAU Derivatives Team
Led the implementation of internal controls
Prioritized economic & legal disputes
Acted as Key Person for guiding team on Controls & Procedures
Collating data from a wide variety of sources
Performing analytical tasks using Excel, Access, SPSS & SAS
Identifying opportunities to apply quantitative methods to improve business performance
Interpreting statistics to prepare forecasts
Defining business rules for Descriptive, Predictive & Prescriptive Analytics
Evaluated information gathered from multiple sources
Monitored the workflow / controls
Resolved external vendor (Eclerx)
Formulated templates for new structured trades
Enhanced automation and STP rate
Assisted in set-up of the organization
Created & delivered skill development learning solutions
Monitored the development of 3 major modular systems
As-Is assessment including inventory of all current reports and dashboards
Designing of a To-Be Data Architecture
Cleansing of all in-scope data
Optimization and automation of Reporting Framework
Designing, implementation of a Data Governance Framework
Automate data reconciliation checks from Source to Reporting systems
Design and implement processes for Data Consistency
Create Data Governance structure, Charter, roles and responsibilities
Developing standards and methodologies for Data Governance
Ensuring Data accuracy
Creation of a Single Source of Truth
Gap analysis and mapping to requirement traceability vector matrix
Selecting features, building and optimizing classifiers using advanced Machine Learning techniques
Modelling complex problems, discovering insights and identifying opportunities
Integrating and preparing large, varied datasets
Collaborating with other IT teams to support Data collection, Integration, and retention requirements
Designing experiments, Test Hypotheses, and build Predictive and Probabilistic models
Creating Probabilistic models to predict Sales/cancellations and IV Tour completions
Developing Python applications which uses Machine Learning to calibrate and forecast expected IV tour completion
Building End to End Analytics Services by creating a Data Pipeline from the On-premise database and deploy it on Azure
Working closely with stakeholders and other IT teams to turn data into critical information
Providing data that is congruent and reliable
Conducting advanced Data Analysis and complex designs algorithm
Data mining using state-of-the-art methods
Enhancing data collection procedures
Scaling up the Lead Management lifecycle by identifying system enhancements.
Process automations and improvements in Microsoft CRM to target business clients
Survey Analytics for Lead optimization
● As-Is assessment including inventory of all current reports and dashboards, complete with Data Sources, Frequency, Data Fields and Data Storage.
● Designing of a To-Be Data Architecture that feeds Power BI and Qlikview Dashboards and Regulatory Reporting Templates
● Cleansing of all in-scope data, including Data Completion, Accuracy, Duplication and Format
● Optimization and automation of Reporting Framework thereby reducing manual efforts.
● Designing, implementation of a Data Governance Framework including Data Ownership and Data Templates.
● Automate data reconciliation checks from Source to Reporting systems for improved Data Quality
● Design and implement processes across the organization for Data Consistency
● Create Data Governance structure, Charter, roles and responsibilities.
● Developing standards and methodologies for Data Governance Meta data Management, Master data Management, Data Quality, Data Collections, Information Life Cycle, Data Privacy and Security, Data Warehouse and BI.
● Ensuring Data accuracy, automation of handling delinquencies and dissolving variance.
● Creation of a Single Source of Truth: one automated and standardized Data Repository to host all Scorecard reporting
● Gap analysis and mapping to requirement traceability vector matrix.
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