Sep 2023 – Dec 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

• Worked initially as Sr. IC analyst for all the GoFood & GoFood+ Business growth related initiatives at GoJek. Primary KR is to support Business and Product Leadership with Adoption and Retention of GoFood+ Subscription ( launched to improve loyalty and stickiness).
• Helped Business in re-designing Subscription offering and Pricing Flexibility on Contribution Margin, Free Delivery to Flat 12K discount, merging Handling and delivery fees to enhance CMPU and accurately identify RPL etc.
• Collaborated with Product , Marketing and Strategy Leads to optimise experimentation, user experience and customer adoption for GF+ across Indonesia and Vietnam. Helped automate tracking, monitoring of key metrics, campaign results for seamless reporting and quick turn-around to drive changes if needed.
• Migrated to Central Business Analytics to assist Business stakeholders in creating ODS ( all GoJek services) subscription. Main KR is collaborate with Business Leadership on subscription design (involving package instrumentation, design, Instrument different test experiment versions to understand user adoption & behaviour to offerings, optimize and launch final subscription brand in Indonesia).
• Scaled GoJek Plus Subscribers around Indonesia to a 10x growth and over 1.5 Mn subscribers in record time through faster data delivery and active launches and experimentation initiatives. ( Countrywide launch date: May 2024, reached 1.5 Mn in Dec'24 )

Dec 2021 – May 2023 · 1 yr 5 mos · Hyderabad, Telangana, India · Hybrid

• Work involved in devising enforcement strategies to contain abuse under the Ads universe, Contributing in making the ads space safe and user-friendly.
• Subject Matter Expert for Identification and Enforcement of Phishing cases on Google Ads. Primary KR is to monitor Phishing Abuse happening on Google Ads across the globe, identify gaps in enforcement leading to user escalations/ advertiser's loss , which would lead to collaborating with Data Science and Legal teams to upgrade or build enforcement models and strategies.
• Collaborated with data science teams to expand Phishing monitoring by developing abuse detection models, content moderation filters and additional pipelines from social media and third-party data platforms. Involved in end to end design of model workflows, input varibles and feature selection, testing, validation and monitoring trends.
• Launched Project " Baitball" - i.e, Automated brand Query Ad Restriction models for Financial and Crypto ads across Globe, using Python and SQL scripts. Achieved a 40x increase in certified brands. Covered 8K brands globally, resulting in new certification checks for 100K+ advertisers daily with monthly ad spends of over $5Mn.
• funfact: Baitball is a technique used by smaller fishes to save themselves from external attacks, a reference to how smaller finance and crypto brands can be saved from phishing (phi;fi )by combining them together and saving them as one.
• Enhanced Ads Phishing identification process by redesigning preexisting decision matrix with newer abuse signals and categorization, this helped in an 45% reduction in review time, along with 10x reduction in gray area escalations.

Apr 2021 – Dec 2021 · 8 mos · Bangalore Urban, Karnataka, India · Remote

• Worked as primary liaison for multiple stakeholders
• ranging from product, merchandising, operations to ensure
• growth, revenue, planning through data driven insights for
• Gourmet category across V1 cities ( Tier 1).
• Built business reporting and performance dashboards from scratch after analyzing product clickstream and transaction data to identify gourmet brands. Active data analysis on all the operations and marketing campaigns to generate focus areas and improvement metrics.
• Automated weekly and monthly reports using PowerBI and SQL/Python based automations to reduce analyst bandwidth on redundant tasks. Trained MIS and operations team with basic query writing abilities to ensure quicker data availability for reporting.
• Collaborated with merchandising teams on design and performance of Gourmet specific widgets, pages and carousels. Collaborated with Marketing team to decide the target base and performance for gourmet specific campaigns.
• Shared performance and a/b testing analysis on Product page changes with Product and technical teams to decide better functional and performing features.
• Designed Customer segmentation cohorts for Gourmet category, by utilizing existing 3T segmentation rules in the organization and adding additional category specific attributes. These Cohorts were useful in deciding the Target base for product, marketing and launch initiatives.
• Key Deliveriables: Data driven Business Insights, Customer
• Segmentation, Campaign designing, Story telling through
• Data, Feature A/B testing, Landing page design and performance analytics, Category Product launch & monitoring.

Sep 2019 – Mar 2021 · 1 yr 6 mos · Gurugram, Haryana, India · On-site

• Responsible for effectively managing digital enterprise data, serving as Data custodian/owner for adobe clickstream data and other important data entities related to Product and App performance.
• Coordinated with Technical and business teams to understand use-cases and provide data capabilities/solutions such as Tableau dashboards,Organized DSLs and DSDLs models for quicker and enriched user reporting and analytics.
• Responsible for providing insights & applied data models to enhance customer experience and increase their engagement with digital products like chatbot, website & mobile app.  Also responsible for gathering consumer and external experimentation data to give details on performance of initiatives launched by enterprise teams
• Primary goal was to help Enterprise teams to streamline what data/products are more efficient and in demand for analytics , including  identifying who will use the products and the steps involved in making it available across the organization.
• Partnering with technology teams to ingest real-time data for marketing/analytics across Amex's digital assets like website & mobile app. Improved Data quality and storage practices for Adobe data, which resulted in a decrease of 80% size reduction causing faster query executions and enabling analysis for extended periods. This also saved millions in storage space for Enterprise.
• Launched and served as product owner of nVision, a Centralized reporting and dashboarding platform for enterprise teams to maintain all reports and analysis at one place. Actively collaborated with Technical teams on wireframe & use case design of the product focusing majorly on active feature addition and quality check.
• My duties include data experimentation, monitoring clickstream trends, gathering consumer and external experimentation data, preparing visualisation dashboard/ reports for management and technology.

May 2018 – Aug 2019 · 1 yr 3 mos · On-site

• Work involved in providing reporting and dashboard
• solutions to retail clients in Middle East Asia.
• Analyze
• customer data to guage repeat purchase behavior, building
• models to personalized customer targetting, ad-hoc
• business problems solving and BAU reporting.
• Instutionalizing data driven decision making for F&B and
• Lifestyle clients. Advance analytics to cater business
• problems such as retention management, loyalty designing, clustering etc.
• Specialities: Data driven business Insights, customer
• segmentation, CRM campaign designing, customer lifecycle, Story telling through Data.

Jan 2018 – Apr 2018 · 3 mos · On-site

• My work is in field of Data Anayltics and its various techniques for effective Customer Relationship Management (CRM) in retail markets.

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

• In this Internship, I worked on the Design, Development of a telepresence robot which had set of functions which was to be used in defense/ security monitoring.
• My key task revolved around the Software development and DevOps of a telepresence robot, which included designing the whole architecture in collaboration with EC team and building all the function logic and server setups for the robot.
• The main technologies used were : Python,
• Udoo Neo, Mqtt (Message Query telemetry transport), mosquitto, nginx and other Python libraries such as Pygame etc.