Logo & Web Designing
Result-driven Data Science professional experienced in working with vast datasets to break down information, gather relevant insights and solve complex business problems. Skilled in data mining, recommendation engines, predictive modeling, clustering; with strong project management, architecture design, presentation, collaboration & stakeholders management skills.
Maximizing the shopping experience of end-users through personalized email promotions & reduced noise in the inbox.
Product: Email Content Recommender System
Designed & implemented a personalized content recommender engine for Email Campaigns from scratch. Created architecture design, implemented ETL pipeline & deployed the trained model on production within a strict timeline.
Product: Customer Segmentation Engine
Contributed to the Customer Segmentation solution, developed to reduce the number of emails sent to each user & hence improve customer engagement. Reduced email sent count drastically by ~50%, while maintaining the sales revenue figures.
Project: Weather Impact Analysis
Proactively proposed & executed a detailed PoC work focused on identifying the relation between weather conditions & users-reaction to Email campaigns. Gained affirmative insights by using the weather features in the open rate prediction models.
Project: Open & Click Rate Prediction
Compiled & analyzed vast datasets surrounding email campaigns, users demography & users reaction. Created and implemented new forecasting models to generated reliable open & click rate predictions for future email campaigns.
Project: Sales Trend Forecasting
Performed Time-Series Analysis on daily sales generated by Email Campaigns to identify seasonal patterns & extract valuable business insights. Forecasted reliable daily sales trend for upcoming month, which was used by email marketers for better decision making.
Product: User-Subscriptions Management System
Redesigning & reconstructing legacy User-Subscriptions Management System, to get rid of technological backlogs & maintenance overhead.
o Lead a multicultural team of 7 enthusiastic engineers, mentored 2 newcomers
o Collaborated with multiple teams & stakeholders to finalize product definition
o Formulated design-documents and project-roadmaps to reconstruct the legacy monolithic system using microservices architecture & cloud technology
o Designed ETL tools to migrate & manage vast user-subscriptions data
o Managed multiple parallel projects using Agile/Scrum methodology
o Adjusted project plans to account for dynamic targets, staffing changes and operational specifications.
Product: Email KPI Monitoring Dashboard
Managing & enhancing Email KPI Monitoring Dashboard, which provides valuable business insights to marketers, through Data Aggregation, Analysis & Visualization
o Managed complete SDLC & multiple projects using Agile/Scrum methodology
o Designed ingestion pipeline & databases to gather Email campaign data
o Compiled vast amount of customer-engagement data from various sources
o Optimized legacy data pipeline to reduce runtime by ~60%
o Analyzed customer behavior & delivered high-quality business insights
o Enhanced business value of product by proposing new features & KPIs
Contributed as full-stack Ruby-on-Rails developer in the Email Marketing & Customer Analysis team. Performed feature development, unit testing, integration testing, deployment & maintenance of the Email KPI Dashboard.
§ Digital Still Camera Enhancement | Client: SONY, Japan
Implemented Aspect Ratio, Image Size & Auto Power off features in multiple camera views.
§ VoIP based Android Handset Development | Client: EMS, Canada
Developed & customized Device Drivers for Proximity, Temperature, Accelerometer Sensor
§ OPPL SDK Customization | Client: NTT DoCoMo, Japan
Remodeled legacy OPPL SDK & generated new libraries to remove 3rd party dependencies
Statistical Analysis & Modelling
Data Engineering with GCP Professional Certificate
Logo & Web Designing
Digital Painting & Photography
Data Engineering with GCP Professional Certificate
Data Engineering, Big Data & Machine Learning on GCP