Design and implement scalable and modern Machine Learning systems for Adidas' Global Operations Advanced Analytics team. Laying down MLOps practices for the team to develop, deploy and manage Machine Learning models using Databricks, Kubernetes, AWS and Azure DevOps. Collaborate with SLT (VP, SR Directors etc.) to identify new use cases and share results of existing use cases with a overall vision of aligning with Adidas' analytics initiatives.Responsible for integrating ML solutions… Show more Design and implement scalable and modern Machine Learning systems for Adidas' Global Operations Advanced Analytics team. Laying down MLOps practices for the team to develop, deploy and manage Machine Learning models using Databricks, Kubernetes, AWS and Azure DevOps. Collaborate with SLT (VP, SR Directors etc.) to identify new use cases and share results of existing use cases with a overall vision of aligning with Adidas' analytics initiatives.Responsible for integrating ML solutions into text based advanced search solutions using LLMs that enable Supply Planning teams to ask free text questions to track, monitor and re-route inventory across different markets.Lead a team of Data Engineers, ML engineers and Visualization specialists and ensure the team meets periodic OKRs Show less

- Responsible for building scalable automated ETL Solutions to support Advanced analytics, Business Intelligence and Machine learning in Sales and Marketing Operations.- Provide Data Engineering support to build Customer Lifetime Value Model to predict future value of customers for more effective campaigns and better customer segmentation, making $2 Billion net-sale gain comparing to previous methodology- Working on end-to-end system design and development to productionize… Show more - Responsible for building scalable automated ETL Solutions to support Advanced analytics, Business Intelligence and Machine learning in Sales and Marketing Operations.- Provide Data Engineering support to build Customer Lifetime Value Model to predict future value of customers for more effective campaigns and better customer segmentation, making $2 Billion net-sale gain comparing to previous methodology- Working on end-to-end system design and development to productionize sophisticated analytics solutions by implementing – - Data-Lake for managing and serving data at scale- Data pipelines for performing ETL, feature engineering and data preparation for model training- Data Analysis & EDA- Model training & Tuning- Designed, developed and delivered automated data ETL pipeline using AWS stack (S3, Athena, SageMaker, Redshift) for mutual fund & ETF transactions, assets, representatives and client information to act as a data warehouse for Data Science experiments and reporting dashboards- Designed and delivered automated SalesVision reporting solution using AWS stack (plus NO SQL, awswrangler) that ingests data from S3, cleans and transforms to finally commit incrementally into the master table. The architecture is designed to leverage modern data lakes with zone separations- Designed and developed automated Sales effectiveness scorecard for North America institutional Investments and Global Liquidity Business that summarizes assets, revenue, inflows and wins.- Designed and delivered Client demand and pipeline report using AWS Stack for data ingestion-preparation and Tableau - Responsible for providing feature engineering support to Data Science projects Show less

- Responsible for providing on-line reporting and analysis and a logical abstraction layer against large, multi-dimensional datasets and multiple sources- Responsible for gathering business and functional requirements and translating them into robust, scalable, operable solutions that work well within the overall data architecture- Single point of contact in the areas of data, visualization and analytics- Responsible for requirement and co-creation, development of… Show more - Responsible for providing on-line reporting and analysis and a logical abstraction layer against large, multi-dimensional datasets and multiple sources- Responsible for gathering business and functional requirements and translating them into robust, scalable, operable solutions that work well within the overall data architecture- Single point of contact in the areas of data, visualization and analytics- Responsible for requirement and co-creation, development of business case and project charter (technical), managing project stakeholders, managing development lifecycle (development, test/QA, UAT, bugfix/retest cycles) through to go-live, change management and overseeing support maintenance structures- Designed & implemented TabPy framework for setting up a Visual Analytics UI in tableau that interacts with Geo-Spatial Data with over a billion data points. The UI takes in the parameters from the users on the fly and uses the underlying python script and TabPy framework to fetch the Risk score (due to climate change scenarios) for asset locations on the globe without storing any data in memory. - Designed and implemented Analytics solutions including a Customer Analytics system using Databricks, AWS S3, Tableau and Einstein Analytics (Salesforce). The analytics or the BI system provides predictive insights on client behaviors, including the likelihood of an account to cancel, downsize or upsize, and a holistic client health measure- Designed and developed a Machine Learning solution for identifying customers for platform migration by using customers' platform usage data and defining sentiment indicator using RANSAC Regressor for usage over time- Designed and implemented highly efficient BI architecture to create solutions to analyze information in Big Data. The framework works with creating hyper extracts when the data doesn't refresh often and leverages REST API Endpoints over Tabpy and Amazon Athena to analyze Parquet files stored on Amazon S3. Show less

• Responsible for developing and maintaining Visual Analytics tools using QlikView, Qlik Sense, Tableau• Responsible for developing and maintaining interactive visualization dashboards using Bokeh (python)• Responsible for creating automated python scripts to pull data from Google analytics, social media platforms and other data sources• Responsible for creating ETL pipelines using Alteryx• Responsible for conducting training on Data Science framework and Visual Analytics as a… Show more • Responsible for developing and maintaining Visual Analytics tools using QlikView, Qlik Sense, Tableau• Responsible for developing and maintaining interactive visualization dashboards using Bokeh (python)• Responsible for creating automated python scripts to pull data from Google analytics, social media platforms and other data sources• Responsible for creating ETL pipelines using Alteryx• Responsible for conducting training on Data Science framework and Visual Analytics as a part of the center for excellence team (Data Science)• Successfully lead and delivered Visual analytics/Business Intelligence (BI) projects for S & P Global Market Intelligence, S & P Global Corporate, S & P Global Ratings that includes o Website performance and Social media performance monitoring visualization tool o Invoice delinquency prediction tool o User activity dashboards o Community impact month visualization and activity tracking tool o Bond Issuance prediction tool o Mentor matching Engine o IT help-desk visualization tool for conducting root cause analysis Show less

Responsibilities include (but are not limited to)• Responsible for developing and influencing long-term business intelligence (BI) strategy, analytics, tools roadmap, and self-service reporting capabilities and drive the implementation end-to-end• Responsible for creating, enhancing and owning reports, dashboards and data tools in Qlikview, Tableau, Plotly, Excel and/or other platforms• Responsible for performing Data analysis on relational database platform including DB2… Show more Responsibilities include (but are not limited to)• Responsible for developing and influencing long-term business intelligence (BI) strategy, analytics, tools roadmap, and self-service reporting capabilities and drive the implementation end-to-end• Responsible for creating, enhancing and owning reports, dashboards and data tools in Qlikview, Tableau, Plotly, Excel and/or other platforms• Responsible for performing Data analysis on relational database platform including DB2, Oracle & Teradata• Responsible for designing highly scalable ETL processes with complex data transformations, from disparate applications and data formats including CDC, error handling, etc• Lead development of coding standards and enforce best practices and security guidelines• Participated as a technical expert in design and development of database, reporting, and analytical solutions throughout the development life cycle of our DL Business Intelligence Self Service platform• Work directly with business partners to capture and refine business requirements into core system capabilities, as well as provide support on the design and development of customer training materials and conduct customer training sessions• Conducting sprint reviews/showcases on work done• Assume administration role for the BI platform (on-prem and/or cloud) and taking care of all types of server commissioning• Create test cases from requirements & design documentation & develop appropriate testing processes to verify & validate the work completed• Independent problem solving and debugging using tools like run time analysis and SQL Trace• Creation of new database objects, performing different operations and commands on them, creation of views, sequences, structures, data elements, domains etc.• Creation of bespoke Business Intelligence dashboards for clients by customizing data model using Qlikview scripts and creating pipelines for periodic data refresh and reporting Show less

Development and maintenance of reporting dashboards for analyzing large amounts of data. Understanding client’s data to propose and design relevant dashboards to simplify decision making process. Selected Project Experience:- Optimization of Spend Analysis DashboardOptimized the legacy spend analysis dashboard for faster functioning and better user experience. This was done by improving data model and creating Qlikview Load Scripts. The dashboard was deployed for all the… Show more Development and maintenance of reporting dashboards for analyzing large amounts of data. Understanding client’s data to propose and design relevant dashboards to simplify decision making process. Selected Project Experience:- Optimization of Spend Analysis DashboardOptimized the legacy spend analysis dashboard for faster functioning and better user experience. This was done by improving data model and creating Qlikview Load Scripts. The dashboard was deployed for all the clients on RAPid with an aim to provide a much better picture of the user data to aid in the decision making process. Helped clients like Clifford Chance, Allen and Overy, Linklaters and Coca Cola by providing an enhanced visualization for their bespoke dashboards. Developed a bespoke dashboard for Coca Cola for their KPI monitoring & management.- Developed Supplier Performance Management and Finance Billing dashboardsAnalyzed the client’s requirements and available data to provide a solution for monitoring supplier performance and supplier billing. Proactively, arranged meetings with the clients and the top management to push the project into production before the deadline. - Platform migration to Microsoft Azure Created the strategy and workflow to migrate the Qlikview platform to a more reliable and stable Microsoft Azure platform that involved installation and optimising Qlikview servers as well. Lead the team to automate the migration of the client data and organized the data QA in order to finish the migration before the proposed deadline.- Product ResearchDeveloped Spend Analysis dashboard, Supplier performance management dashboard and User Activity dashboards on Qlik Sense & tableau to select the optimum product to offer clients.- Qlikview refresh and Nprint reporting automationAutomated the daily task of refreshing the dashboards and distributing Nprint reports for Octopus Investment which was responsible in improvement of SLA. Show less