My contributions
1. IBM MetroPulse:
Purpose: Enhances business efficiency by providing predictive demand insights to ensure the right products are in the right place.
Key Contributions:
• Developed ETL component for ingesting hyper-local data (weather, demographics) and customer data.
• Collaborated with BI analysts to create an interactive dashboard for demand patterns.
Technologies: Spark, GeoSpark, IBM Big Insights Apache Hadoop, Elasticsearch.
2. IBM City Analytics Solution:
Purpose: Provides actionable recommendations at the store level by integrating urban data and hyper-local insights.
Key Contributions:
• Developed location analytics component to analyze geolocation data and profile audience segments.
• Designed a data platform using Spark and Elasticsearch to handle global data volumes.
• Created ETL pipeline and analytics to compute key location metrics.
Technologies: Spark, GeoSpark, IBM Big Insights Apache Hadoop.
3. IBM Behavior-based Customer Insight for Telecommunications (ProfileHUB):
Purpose: Categorizes subscribers into micro-segments for targeted marketing and retention strategies.
Key Contributions:
• Created enriched customer segments using diverse data sources (Mobile, IPTV, Browsing, Social media, Billing).
• Developed a real-time analytics platform based on Lambda architecture.
• Implemented real-time campaign triggers and user interest algorithms.
• Developed machine learning models for geospatial analysis, brand affinity, visit trends, and POI correlations.
Technologies: Spark, Hive, IBM Big Insights Apache Hadoop, Elasticsearch, Kafka, D3.js, Play framework.
4. IBM Audience Insight for Media and Entertainment:
Purpose: Targets audiences with on-demand ads and enhances viewing experiences through behavior analysis.
Key Contributions:
• Collaborated with clients and IBM teams on customer insights and engagement.
• Developed foundation code for Cognitive Media Platform, including audience profiling, content meta-data enrichment, and a recommendation engine.
• Created a prototype for Viacom RFP and showcased it with several clients.
Technologies: Spark, IBM Big Insights Apache Hadoop, Elasticsearch, Kafka, IBM Cognos.
