
Dynamic Sr. Project Manager at RWS, adept at spearheading AI/ML initiatives and leading cross-functional teams. Proven track record in delivering high-impact solutions while excelling in project management and stakeholder engagement. Skilled in Agile methodologies, I foster collaboration and drive project success through strategic planning and risk assessment.
Technologies: Python 3.7, Django, Spark, Kafka, PySpark, React
Description:
A log and document analytics platform that collects data from multiple sources, runs ETL pipelines, validates data quality, streams large datasets, and provides actionable analytics after cleaning and structuring data.
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Technologies: Python 3.6, Flask, Keras, Nginx, MongoDB, React
Description:
A machine learning–based platform that classifies code issues and recommends best practices using supervised learning on historical code reviews. Provided IDE-based recommendations using REST APIs and an admin panel for training data creation and model performance tracking.
Role:
Technologies: Hadoop, MapReduce, Pig, Hive, Shell Script, HBase
Description:
A system enabling real-time insights into inventory levels, revenue, and item distribution across regions, districts, and products. Supported operational forecasting and reporting for business stakeholders.
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Technologies: Angular, Python 3.6, Flask, Cassandra
Description:
An AI-powered conversational analytics platform for inside sales teams, analyzing voice, video, and text interactions to identify opportunities and improve sales outcomes. Included customizable dashboards, global search, and third-party integrations.
Role:
Technologies: MLflow, Machine Learning Stack
Description:
A multi-component platform supporting log analytics and document intelligence using ML models, scalable backend services, and UI components.
Role:
Technologies: AngularJS, Java, Jersey API, Jenkins, PostgreSQL
Description:
Automated campaign creation for a large U.S. publication house, replacing costly third-party manual processes. Helped schedule seasonal campaigns like Christmas, Halloween, etc., saving subscription fees and improving turnaround time.
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Technologies: Java, Spring Boot, REST Web Services, Maven, Hibernate, MySQL, WebSphere
Description:
An e-commerce platform with 10,000+ helicopter products and accessories. Implemented voucher and discount mechanisms, multi-currency support (GBP, EUR, USD), SEO optimization, and multiple payment gateways (PayPal, Google Checkout, Sage Pay).
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Technologies: PHP, RDS, DynamoDB, React
Description:
A web and mobile coupon management application where mechanics, retailers, and partners scan unique product coupons to earn reward points and payments.
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