May 2023 – Sep 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

• Leading SaaS product portfolio for HR Tech enterprise platform customers - Human Capital management and warehouse management solutions powered by robust APIs and data integrations.
• I partner with developers and analytics/business intelligence professionals to design efficient data transformations and visually UX pleasing analytics products. I am responsible for understanding business needs, designing technical solutions, specifying technical requirements, and providing operational support for existing warehouse-based processes. This dynamic position offered a broad view of the proprietary systems and third-party products that make up the firm’s human capital systems landscape. I partnered closely with leaders in human capital, analytics, information technology, and our international software development teams.
• Key Principles:
• Enterprise-Grade Scalability and Security: Build a scalable, secure, and high-availability architecture that meets the demands of enterprise customers.
• Establish strong feedback mechanisms with enterprise customers and internal stakeholders (product, engineering personas) to prioritize and drive product improvements.
• Ensure seamless data integration with varied sources it resides or transits in, and preparedness of the platform to become an actual control plane for data.

Jan 2021 – Apr 2023 · 2 yrs 3 mos

• Led multiple critical initiatives as a part of our AdTech Product Growth team in the programmatic advertising landscape
• Own the multiple business metrics, help with business planning and goal setting, define strategy to achieve the goals and deliver results to drive business growth and expansion to new markets
• Worked on key data integrations, data management tools and data transformations. Analyzed unstructured, ambiguous and complex challenges facing the organization making judicious use of qualitative and quantitative data; gather insights, define problems and identify underlying opportunities in AdTech/MarTech
• Ownership of product, product analytics and data science implementations within the programmatic advertising of Gaming, Retail and Education verticals
• Client strategy for programmatic spend planning and data integrations
• Building quality site analytics, multi-touch attribution, CRM analytics, and automation
• Led development of new AdTech media products such as DOOH, ADH & YouTube
• Team development, career development planning and stakeholder management across in-market and backend teams
• Oversaw YoY revenue growth of 40% for UK business
• Co-lead hiring initiatives to gather industry's top analyst and data science talent, conducting on-campus, in-person interviews and talks
• Travelled to Manchester & London office as a sole representer/speaker from Analytics Division to attend the client meeting in person. Part of business strategy meeting for the client and resulted in stronger partnership and $500k budget
• Presented solutions to actual business challenges faced by the company to the Exec board around product and people strategy
• Won “Induction Trainer Award” and Quarterly Team Award for “Focused Hiring Squad” for my responsibilities at Central Level

Jan 2018 – Jan 2021 · 3 yrs

• Working across different DSPs like Xandr, Tradedesk, and DV360
• Retail analytics expertise with Price Elasticity, Market Basket Analysis, Feature Selection techniques to provide strategic insights and recommendations to clients around budget and targeting effectiveness
• Multi-Channel attribution analysis conducted for Connected TV, Display and Video advertising channels
• API exploration and data-lake creation using Postman
• Working alongside product management teams to brainstorm product features for internal automation builder (Studio)
• Involved in the hiring, onboarding & mentorship
• Gained skills around project management, employee coaching, process planning, and product development
• Responsible for the planning and execution of analytics and data science projects
• Implementation of Customer segmentation techniques like K-Means, K-Mode, and Hierarchical clustering for in-campaign optimizations
• Worked across 20+ accounts to churn out strategic insights, quarterly business reports and measurement reports
• Working in new and emerging formats of digital advertising such as Digital-Out-Of-Home (DOOH), Brand Survey, YouTube and Audio
• Part of the hiring and onboarding committee within the organization. Also part of the on-campus recruitment drives and talks
• Oversaw the team growth with 30% Y-O-Y revenue growth
• Heading the analytics division in central projects related to GDPR and CCPA
• Led central initiatives such as people analytics and CSR
• Won Drum's Digital Advertising Global Award for Most Effective Use of Data. Was part of the project team where we used Skyrise Intelligence Data with MiQ data. The strategy saw an increase of 57% in CTR over a normal prospecting line
• Won Individual Performer of the Quarter awards for 2 times in a row

Jul 2017 – Dec 2017 · 5 mos

Jul 2016 – Jul 2017 · 1 yr · Bengaluru Area, India

• Worked with clients like Sony and helped them to solve various business problems related to sales of Playstation software and hardware in America. Data was pulled using SQL codes and ETA was done. Major business insights were then pulled out and solutions provided to client on various threads. Also, worked in retail business of different client to predict their future sales and optimized markdowns in different seasons. For this I used linear modelling in R and Python. Insights were pulled out using Tableau.
• 1. Markdown Optimization Tool
• Objective
• To develop a tool that automatically reflects the markdowns to be applied in both Sears
• and Kmart inventories so that the revenue is optimized
• Client One of the largest retail chain in US
• Tools Python, R
• Description
• Performed data cleaning
• Store clusters for each client’s store in US were created based on average
• temperature, Rainfall, Revenue-per-sq-ft
• Opted for Linear Regression modelling to capture the effects of seasonality,
• holidays, price on the sales
• Various Modelling ADs were created at division/line and store cluster level
• Ran iterations to get the best model
• Role played
• Wrote codes for building up Modelling AD in both PySpark and R
• Ran various iterations at different levels
• Duration 4 months
• 2. Weekly Performance Analysis and Reporting
• Objective Support client team for analyzing the impact of various in-game events through regular
• reporting , inquisitive analytics and ad-hoc data requests
• Client One of the largest Video Games Publishers in the World
• Tools SQL and Advanced Excel
• Process
• ▪ Performed ad-hoc data requests for multiple pre-post analysis of various launch events,
• campaigns etc.
• ▪ Designed and developed database to capture key events and performance metrics from
• multiple data platforms that provides a true picture of the business
• Role played Coding and project execution
• Duration 3 Months

Apr 2015 – Jul 2015 · 3 mos · Mumbai Area, India

Jul 2012 – Jun 2016 · 3 yrs 11 mos