Rushikesh Kulkarni Email & Phone Number

Pune, Maharashtra, India

As an Associate Program Manager at eClerx Services Ltd, I have successfully managed multiple high-impact projects with a focus on delivery excellence in Tag Management. I have implemented and optimized analytics solutions using Adobe Analytics, Google Analytics, and various third-party marketing pixels through platforms like Adobe Launch, Tealium, and Google Tag Manager. My role involved building strong client relationships, taking a consultative approach to deliver tailored analytics implementations. I engineered a scalable reporting automation solution that reduced report turnaround time by 80% using the Adobe Analytics API and Python. Additionally, I developed a GA4 implementation framework in response to Google's Universal Analytics end-of-life announcement, which generated an additional $400K in revenue by converting seven clients.I also led the development of a module integrating Adobe Launch API, Adobe Analytics API, and Python to enhance solution design efficiency. Throughout my tenure, I have conducted training sessions to upskill team members, fostering a collaborative and knowledgeable team environment.Implemented oneTrust cookie consent platform across 28 business regions, leveraging geographical rules, custom templates for GDPR, LGPD, Global. Integrated OneTrust platform with Google Tag Manager to capture the consented data in the respective platforms

Pune

As an Analytics Solution Consultant, I have delivered tailored analytics solutions for various clients, specializing in Google Analytics and Adobe Analytics. I created solution design and tagging specification documents, coordinated with development teams, and devised testing strategies to ensure accurate tag implementations.Key Projects and Achievements:Pharmaceutical Client: Developed a modular Adobe Analytics structure for 2,000+ websites, migrated implementations to Adobe Launch, and captured business requirements.Event-Driven Data Layer: Transitioned from HTML attribute-based to event-driven data layers, reducing developer interactions.Video and Cross-Domain Tracking: Implemented tracking for Brightcove and YouTube videos and enabled cross-domain visitor tracking.Optimization: Improved registration form completion times and resolved unique customer identification issues.ObservePoint: Configured ObservePoint for comprehensive audits and validated user journeys.Third-Party Tags: Integrated Google AdWords, DoubleClick, Baidu, and other marketing tags using Adobe Launch.

Pune

Lead team of analysts, senior analysts to provide web analytics solution to different clients• Ideated , conceptualized and developed web analytics solutions for different clients across domains ( retail, software products) and geographies (EMEA, US)• Developed SiteCatalyst, Excel, Qlikview based highly interactive and customized dashboards for senior management and different stakeholders• Lead analysis of website engagement KPI, Conversion KPIs, funnel visualization, SAINT Classification, Segment creation, What If analysis, Marketing channel analysis, Identify impact of web design changes on KPIs• Provided business critical insights into web visitor behaviour, key performance indicator and actionable recommendations to improve business performance• Improved digital data accuracy of web properties by identifying gaps in data capture strategy and proposed solutions to improve data accuracy by using techniques like SAINT classification, VISTA rule, tagging changes or data consolidation

* Provided analytics support to chat as contact channel for client across sales and service verticals. Data driven analysis for customer life cycle management.* Used web analytics and data mining techniques to understand website visitor behavior. Created business rules for website visitor segmentation based on propensity to purchase and propensity to contact support.* Measure and monitor performance of sales and service funnels.* Started different initiatives to optimize funnel performance metrics, optimize chat, invitations, acceptances, cart abandonment and checkout abandonment to, improve KPI (Revenue, First Contact Resolution, Customer Satisfaction)Compared effectiveness and performance of different contact channels based on First Call Resolution and Customer Satisfaction.* Suggested most effective contact channel for different problem areas to improve customer satisfaction.* Built Logistic regression based models to identify drivers for sales and First Contact Resolution.* Standardizing weekly performance reports and dashboards and coordinate with technology teams to automate process of performance reports.* Coordinated with different stakeholders, explaining different initiatives, suggesting and implementing automations through with help of Engineering team and implementing ideas evolved through text mining and data mining.* Involved in Proof of Concept data analysis, creating client presentation and providing hands on demo to different clients

* Involved in testing of optimization engine and new functionality development across two pricing products. (Shelf Price Optimization and Markdown Optimization)* Tested and validated Mixed Integer Programming (MIP) developed for shelf Price Optimization. Tested and analyzed different business rules supported by engine. Mapped user inputs to objective function coefficients and constraints generated by system.* Acted as interface between US based business analyst team and India based development team for new feature development. Conceptualized and prepared prototype with teams. Participated in discussion for new data model design. Worked on new functionality like Markdown Candidate identification and Time dependent inventory.

M.Tech, Industrial And Management Engineering

Activities and Societies: Member of Student's Senate, The highest Student governing body in the institute

B.E., Production Engineering