SUMMARY:

• 10+ years of experience in building enterprise data mining, analytics and scoring applications
• Built analytics for engagement, revelation, retention and churn management
• Built large - scale data platforms to handle event traffic generated by millions of users
• Built analytics products and solutions from inception to delivery to scale
• Experience in online and offline data insights generation
• Hands on experience working on Tableau to create advanced insights and visualizations
• Experience in A/B Testing, multi variant testing and geo/demo/profile targeting.
• Strong experience in implementing enterprise web analytics solutions using Adobe Analytics, Visual Science, Google Analytics
• Experience in audience profile analysis that includes the demographics, geographies and interest category segmentations.
• Strong experience in web site tracking using log files, tags and sensors
• Experience in top line metrics, geo/demo analysis, client side technologies, path analysis, scenario analysis, SEO, SEM, funnel conversions, abandonments and segmentation analysis
• Experience in analyzing data from the enterprise data / marketing warehouse using analytics tools
• Developed and executed digital analytics strategy for multiple companies which increased engagement and conversion across their digital assets
• Identified and utilized digital assets that demonstrated a strong sales impact and a significant return on investment, increasing conversion by 20%
• Defined metrics for inbound and outbound campaigns and measured them according to vendor performances and business impact.
• Built key performances indicators to be analyzed and reported to the executives
• Worked cross-functionally with Product Management, Analytics, and External Agencies to understand marketing attribution modeling and to deploy technologies to optimize media spend within the Affiliate channel
• Drove strategy for interactive marketing budget across digital channels which helped drive 20% in top-line revenue
• Designed and enhanced programmatic digital marketing approaches to product evaluations, social selling, integrated digital campaigns, buyers’ personas, and personalization strategies.

TECHNICAL SKILLS:

Data Mining & Big Data Tech Stack: Hadoop, Kafka, Druid, Presto, Neo4j, Titan, Hive, Pig, Oozie, UC4, Elasticsearch, Solr, R, SAS, EC2, Java, Php, Perl, Python, Scala, REST, Node

Analytic Tools: Adobe Analytics, Amplitude, IBM Digital Analytics (Coremetrics), Webtrends and Google Analytics, Tableau desktop / Tableau Server, Qlikview, Pentaho, Salesforce, Business Objects, HBX, Visual Science

Display/Search Campaign Management: MediaMath, DoubleClick, RightMedia

Database Systems/Tools: SQL Server, Oracle, Microsoft Access, TOAD

Nosql/Sql: Cassandra, CouchBase, Oracle, Mysql, Postgress, Apache Usergrid

Technologies: Data and Marketing Clouds, Spark, Scala, GIT, SVN, JIRA, Rally, TIBCO, Informatica, AppDynamics, Unica, Adobe Analytics

Languages & Scripting: JAVA, SQL, PL/SQL, R, Java Script

Operating Systems: Windows, UNIX, Linux

Product Management: Strategy, Competitive Analysis, Strategic Partnerships, Cross-functional Team Leadership, User Experience, PRD, SaaS, PaaS

WORK EXPERIENCE:

Confidential, CA

Sr. Big Data Analyst

Roles & Responsibilities:

• Responsible for Venmo products and Services deep-dive metrics analysis.
• Responsible for in deep-dive metrics analysis
• Responsible for operational analytics and tracking quality score
• Responsible for customer, partner marketing data analysis using enterprise data mart
• Responsible for building automated insights and metrics alerts
• Defined actionable key performance indicators (KPI) to support business goals.
• Responsible for inbound and outbound campaign analysis.
• Responsible for user segmentation and churn analytics
• Involved in reports generation for path, funnel and cohort analysis
• Developed various Complex SQL Queries, Views for Generating Reports.

Sr. Analyst

Roles & Responsibilities:

• Worked on data collection, transformations and automations
• Implemented and analyzed first party and 3rd party tracking beacons
• Creating custom JavaScript logic for implementation when needed.
• Created Segments, custom metrics, configured custom variables and properties
• Troubleshooting tags through DTM, developer tools, and Adobe analytics.
• Worked on analytics queries for retrieval of data from Hadoop and Presto
• Wrote SQL queries to get data from Database.
• Created Segments, custom metrics, configured lists.
• Responsible for page, event level tagging and analytics
• Design and developed Insights and visualization solutions.
• Worked on building advanced insights using enterprise data sources
• Worked on insights server performance tuning for optimization.
• Administer user, user groups, and scheduled instances for reports
• Conducted user training sessions for creating self-service analytics
• Created visuals for workflow optimization using custom non-native charts
• Responsible for lead the way in leveraging unstructured data for predictive modeling and decision-making.
• Co-ordinated with offshore-based resources and served as the sole point of contact from onsite for the engagement with client’s Customer Intelligence and Advanced Analytics solutions.
• Help build a predictive product and inform features at the ground level.
• Involved in enterprise web analytics support

Principal, Data Science and Analytics

Roles & Responsibilities:

• Worked with various clients to implement solutions transforming digital Analytics into actionable analytics and achieved results including engagement score driven content personalization & optimization, data-driven B2B demand gen, increase conversion, improve ROI on media spend, predict sales, and optimizing SEO & social media.
• Responsible to increase user engagement and enhance decision-making processes, and mapped out a plan to drive more conversions with existing site visitors.
• Managed a team of analysts building measurement, personalization strategies and high-quality analytics deliverables, to create a seamless omni-channel experience for consumers.
• Worked end-to-end using open source and 3rd party analytics tools for critical projects.
• Built segmentation analytics solutions for various markets like NA, APAC, EMEA, LATAM
• Led highly successful Analytics kick start projects with clients, enabling their DemandGen teams to receive multiple visualizations and advanced analytics.
• Converted majority of all pilot projects to long-term engagements.
• Developed various Complex SQL Queries, Views for Generating Reports.

Sr. Software Engineer

Roles & Responsibilities:

• Managed implementation, development and initial roll out of analytics products across SUN web properties and digital products; specifically, with Analytics Platforms. As well as developed operational usage and program management of the integration of its various functionalities, geared to support both the Consumer and Enterprise analytics programs.
• Identified major reporting process refinement opportunities by reducing reporting preparation time by 30% via report automation, consolidation, and improved data gathering methods.
• Responsible for architecture and implementation of multi-channel and multi-product systems to identify business growth opportunities, and optimize ad spend, site content and conversion.

Sun Microsystems, CA

Software Engineer

Roles & Responsibilities:

• Built enterprise data processing systems that can work seamlessly with web and CRM systems
• Responsible for service oriented architecture and software development as per the PRD
• Developed data-driven strategies to inform optimization priorities
• Built data insights platforms using open source and 3rd party software
• Build applications that enables users to acquire, integrate, aggregate and analyze data from multiple, disparate data sources across the company