Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Work Availability
Quote
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Rajshankar Thottakara L

Data Engineering & Analytics Management Professional
Cumming,GA

Summary

A process & detail oriented professional with a background in Information systems and over 15+ years’ experience in business and technical systems in the retail & online industry. Skilled in time management, project management, and integrating highly scalable processes for eCommerce/retail solutions. A flexible leader with a proven ability to coach and mentor staff, architect solutions, design, and deliver data solutions with a strong expertise on agile, project and product methodologies. Creative strategic planner with product value and impact assessment prowess. End-to-end product leader successful bringing products from inception to rollout with efficiency and speed.

Overview

9
9
years of professional experience
7
7
years of post-secondary education
5
5
Certificates

Work History

Director, Analytics & CS

Tredence Analytics
Remote, GA
10.2023 - Current
  • Managed daily operations while overseeing multiple locations to foster increased productivity
  • Implemented data quality measures, deliver standard architecture, and, monitored quality metrics across various parts of organization
  • Design and deliver processes to standardize report delivery, support and Maintenance and reducing time to respond by 20%
  • Maintain data documentation in standard KM tool such as confluence and deliver standard practices to handle customer compliance via regulations such as CCPA, etc.,
  • Deliver advanced analytics solutions via cross collaboration with multiple teams such as IT, PMO, Data Insights, Data engineering and business teams
  • Responsible for CSAT and customer success by implementing these advanced solutions
  • Aligned analytic activities to overall business strategy to drive direction of team, projects and processes
  • Manage team of data engineers, scientists and analysts to deliver data initiatives like customer 360, Identity unification, MLOPs, etc.,
  • Closely work with ML Engineers to optimize pipelines created with CI/CD in mind. Optimize efficiency, speed and cost effectively

Associate Principal, CS & Adv. Analytics

TheMathCompany
Remote, Georgia
12.2021 - 10.2023
  • Monitored metrics and developed actionable insights to improve efficiency and performance.
  • Led process improvement and problem-solving efforts to create standard procedures and escalation policy for engagement managers
  • Design strategy and roadmap for building analytics capabilities for clients. Retail media, Customer 360, MLOps architecture, and Merch reporting suite to name few
  • Integrate 1st and 3rd party omnichannel data, build and launch efficient single source of customer data to enable business use cases via solutions like Customer DNA, Customer 360 & Data clean rooms
  • Solve complex business problems for organizations, leveraging conventional and new age data sources and applying cutting-edge advanced analytics techniques
  • Build relationships with customers to become trusted partner who provides thought leadership and strategic guidance
  • Lead, mentor, and coach team of Managers, Senior Associates and Associates across our US offices to ensure success of both our team members and our customers
  • Work with leaders in India - who lead Delivery units - to effectively manage and grow our client accounts leveraging global delivery model
  • Proactively identify business development opportunities for existing client engagements & departments
  • Facilitated penetration of key accounts via strategic planning initiatives.
  • Deliver cutting edge MLOps infrastructure to facilitate Data science models at scale by following best in class Data engineering standards
  • Deliver a clear and compelling data insights framework/suite to articulate the insights needed for the Marketing, Merchandizing & Finance teams. Good understanding of PowerBI, Tableau & Microstrategy
  • Collaborated with internal and external stakeholders to understand client's business situation and develop data-driven analytic solutions and insights to direct marketing strategies
  • Devised and deployed predictive models using machine learning algorithms to drive business decisions on customer personalization, Merchandizing optimizations and Operations reporting
  • Implemented randomized sampling techniques for optimized surveys and experimentation on various regression models
  • Delivered various EDAs pertaining to Feature selection/Integration and experimented on updated data sets
  • Fine tuning hyperparameters using tools like Optuna and improving error average(MAPE/MAE) using various modeling and segmentation techniques

Manager, Data Engineering, Data Product Analytics

Home Depot
Atlanta, GA
2020 - 2021
  • Help Marketing organization to become 100% data-driven organization by building next generation data platform that brings accurate and timely data to Marketers
  • Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Operations, ML - AI, and upstream/downstream intake and output processes
  • Design and build data strategies and roadmaps necessary to serve marketing analytics and data science needs
  • Manage data products that provide strategic insights to leadership on customer lifecycles, identify visitors on site and provide KPIs for executive QBRs
  • Manage data engineering team that performs data modeling for scoring audiences(customers) based on various touchpoints and segmenting them for activation via DMP
  • Partner with Retail media team for designing/delivering data pipelines that measure ROAS for vendor funded and base funded campaigns that get activated via various 3rd party offsite channels such as Facebook, Mediamath, and, Pinterest, etc.,
  • Partner with Insights team to provide KPIs for all such campaigns
  • Partner with Online and Marketing data science teams and enable marketing platform, tools for them to create and deploy data science models in cloud platforms such as GCP
  • Apply strong technical and management skills to guide data engineering teams in building industry-leading technology
  • Integrate 1st and 3rd party omnichannel data, build and launch efficient single source of customer data to enable business use cases via solutions like Customer DNA, Customer 360 & Data clean rooms
  • Experience with Web analytics using Adobe Experience Cloud stack (Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), Adobe Experience Manager (AEM), etc.,
  • Embrace active team role to design, build and launch efficient and reliable data pipelines moving data across number of platforms including Data Warehouse, online caches and real-time systems.
  • Create data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.
  • Manage workflow orchestration and demonstrate expertise in data modeling, ETL development, and data warehousing
  • Design industry-leading tools to increase productivity of Data Analysts, Data Scientists and Marketers
  • Partner with BI, IT, Marketers and Data Scientists to understand data needs and assist them in accessing and leveraging key data sets
  • Grew team from 5 member strong to about 30+ strong including direct reports and contractors
  • Designed and delivered Marketing Analytics platform tech stack used by over 5+ teams, for all data science modeling and deployment purposes

Product Manager, Marketing Data Products

Home Depot, USA
Atlanta, GA
2018 - 2020
  • Drive cross-functional teams of developers, designers, and business partners to develop custom functionality for optimizing reporting and analyses. Identify opportunities to enhance online analytics dashboards to reinforce user needs and business goals of driving sales, improving efficiency, and enhancing customer satisfaction. Supervise team of Onshore/Offshore contractors to execute product strategies and provide tangible education to executive teams via creation of user training documents.
  • Advance MyDriver data analytics cube(SSAS) for reporting key performance indicators; Partner with IT team of 16 to prioritize, plan sprints for updates and net new requests
  • Deploy & drive user engagement of data products, Adobe products such as Analytics and Clickstream, Google suite of SaaS products and conduct analytics user groups across e-commerce associates; release monthly communications for ~1600 interface users, refining assumptions through user research and testing.
  • Perform regular sprint retrospectives, stand-ups, prioritize items based on value based point system and perform product ceremonies
  • Partnered with cross functional teams on merchandizing reset initiative that provided visibility into 51% of Online site funnel which was otherwise unavailable
  • Deliver host of customer journey related suite of products that provide visibility into interconnected journey of customers and delivered
  • Design and deliver customer segmentation models using RFM methodologies, cross-functional project working with roadmaps and wireframes to aid in formulating strategies to target high-value customers

Sr Business Intelligence Analyst

Home Depot, USA
Atlanta, GA
01.2015 - 11.2018
  • Coordinated and maintained initiative to provide Senior Management with alternative view into data warehouse to self-service simple requests. Routinely advanced process monitoring with implementation of nightly reporting and ETL and data transformations in SSIS. Recommended standards for project initiation, design, development, and ensured system changes were tested and functional prior to production release.
  • Refine custom data reports to prevent Buy-Online-Pickup-In-Store and appliance fraud that have resulted in average monthly saving of 80K, totaling to approximately 4.8M in span of 5 years.
  • Designed, developed and delivered store manager dashboard that was viewed by over 2000+ Store manager at Store managers meet, Vegas

Business Intelligence Consultant

Mindspan Inc
Alpharetta, GA
2014 - 2015
  • Partner with customers and IT and facilitate full life cycle of application development. Provide technical assistance as necessary to end-users as well as development staff. Perform post-project reviews with project team from BIS and IT, identify best practices and learning’s and implement in project execution process to improve quality and effectiveness of project delivery.
  • Customized design and developed many user-friendly tableau dashboards to gain insights into NA reporting initiatives and make recommendations
  • Developed intelligence-sharing dashboards, providing company-wide access to collected data.
  • Handled massive quantities of business intelligence data, personally managing as much as .5 terabytes.

Consultant

Tata Consultancy Services
Atlanta, MI
2007 - 2014
  • Designed and developed automated routines to facilitate application development and deployment process, in turn, restructuring interactive reports and dashboards
  • Extracted data to identify and analyze key metrics to effectively transform raw data into meaningful, actionable business and consumer information trends from EDW
  • Deliver insights via store print packets to about 2000 stores in business. Responsible for RCA and following up on resolution
  • Deliver insights by creating dashboards in Microstrategy or Tableau
  • SME for tableau COE committee within organization
  • Developed and streamlined various extraction processes using ETL tools such as Abinitio, Informatica and implemented interactive dashboards using Hyperion reporting, SSRS and Microstrategy

Education

Master of Science - Management Information Systems

University of Illinois At Springfield
Springfield, IL
05.2016 - 05.2019

Bachelor of Science - Engineering And Computer Science

Anna University
Chennai, India
05.2003 - 05.2007

Skills

Advanced Analytics & Data science

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Accomplishments

  • Stood up the Marketing analytics platform, a cutting edge GCP infrastructure with data engineering components that facilitate the Marketing data science, and, Retail Media teams by partnering with the IT Team
  • Delivered a Retail media solution for measuring vendor ROAS across various campaigns by paid channels
  • Delivered an Audience currency solution, a experimentation and measurement framework for measuring base iROAS across various base funded campaigns by paid channels
  • Delivered an integrated & unified customer data platform that combines 1st and 3rd party customer identities
  • Drive user engagement of data products, Adobe products such as Analytics and Clickstream, Google suite of SaaS products and conduct analytics user groups across e-commerce associates; release monthly communications for ~1600 interface users, refining assumptions through user research and testing.
  • Deliver host of Marketing data products for measuring customer engagement, affinity, lifetime value, propensity to buy, and enterprise conversion

Certification

Building a Data Science Team - Johns Hopkins

Work Availability

monday
tuesday
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thursday
friday
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sunday
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Quote

How many ideas have there been in the history of the human race that were unthinkable ten years before they appeared?
Fyodor Dostoevsky

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Rajshankar Thottakara LData Engineering & Analytics Management Professional