- Instituted effective team structures and workflow protocols, optimizing collaboration, communication, and coordination, accelerating project delivery, and mitigating dependencies and roadblocks, thereby fostering a more agile and efficient work environment.- Enabled successful migration of ETL workflows from Matillion to an in-house orchestration tool by proactively delving into understanding and mastering the in-house tool despite limited documentation and support- Empowered the team by providing templates and examples to facilitate the team's proficiency with new tools and successful adoption- Implemented data quality checks and validation mechanisms within ETL pipelines, leading to a noticeable enhancement in overall data accuracy and reliability.- Developed and delivered a series of dashboards catering to various business needs, including customer segmentation, sales tracking, and portfolio management, empowering stakeholders with actionable insights for informed decision-making.Tech Stacks:AWS (Redshift, EC2, ECS, DynamoDB, SQS, S3, SES, SNS)MatillionDockerTableauSQLPython

- Spearheaded the design, development and operationalisation of a leading energy company's cloud-native application, enabled the forecasting team to generate forecasts with custom domain knowledge and machine learning reliably. - Contributed to client's proficiency in serverless architecture, energy forecasting delivering brownbag sessions to disseminate knowledge across the digital technology solution team. - Designed, delivered and operationalised cloud based solutions to automate client's operational process resulting in substantial reduction in turnaround time- Developed and integrated interfaces to facilitate the decoupling of databases and on going large volume data transfer via interfaces to enable on-prem database decommission and migration to cloud- Conducted learning group and helped team members learning cloud technology and acquiring AWS certifications Tech Stacks:AWS (Lambda, Step Functions, SQS, SNS, IoT, DynamoDB, S3, RDS, Aurora, API Gateway, DMS)Serverless ComputingInfrastructure as code (CDK)DockerSnowflakeMS SQL ServerPostgreSQLMatillionPythonTypescriptSQL

Delivered natural language processing solutions to convert monthly employee surveys into actionable insights. Enhanced existing forecast reports with machine learning-based solutions.Delivered lightweight ETL workflows to prepare datasets from different systems/platforms for analytical purposes. Built Power BI Dataflows, and Power Queries, and managed datasets for reports and dashboards. Collaborated with cross-functional teams to gather requirements, identify relevant data sources, and ensure data quality and integrity throughout the analysis process.

Pre-sales phase solution delivery for AI product start-up:- Conducted exploratory data analysis to showcase the potential of improving project cost and time prediction with machine learning-powered solutions.- Developed a proof of concept (PoC) for a machine learning-based project cost and time prediction solution.- Incorporated valuable insights and facts derived from exploratory data analysis into the machine learning model.- Achieved more timely and accurate predictions compared to project control exports during the pre-sales phase.- Onboarded an industry-leading client by demonstrating the superior capabilities of the solution.

- Performed data cleansing and pre-processing to convert unstructured data intosemi-structured data for modelling- Conducted research and developed Machine Learning and Natural Language Processingsolutions to improve and complete the performance of an existing algorithm- Conducted technical reviews and empirical experiments to validate and test the solutions- Assisted in implementing and integrating the final models/solutions into existing system

- Constructed Data Analytic solution to facilitate product yield rate enhancement- Identified the potential factors that may have significant impacts on the product yield ratethrough data mining approaches, and validated the assumptions through statisticalmodeling approaches- Delivered and explained the statistical experiment outcomes to the stakeholders withvisualized report