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About Me
Result‐driven IT professional with overall 13+ years of experience in Software product development of which
4 years in Data Science.
Lead Analytical projects to drive insights and actions to improve operational efficiencies, customer...
Skills
Portfolio Projects
Description
NextGenOps: NextGen-Operations platform is built to enhance DevSecOps through profound insights by combining bigdata,
Machine Learning, and Visualizations. Jio's 360+ application logs captured will go through enrichment and
streamlining processes to boost automation with ml, deep learning, and AI technologies and help the 360-degree view of
all constituent elements and their impact on the services.
Key Responsibilities:
• Partner with the CXOs to identify critical to success areas for business and leverage predictive analytics to positively
impact them
• Isolation of faulty nodes of an application by analysis of inter and intracluster node ‘Principal KPI' variances using
Machine Learning models
• Detect negative performance trends in Jio TV viewership across 24 zones and address the developing problems
before service failure using LSTM.
• Translate overall Operations requirements and strategies into analytical roadmaps and solutions.
• Evaluate data, including pre-processing, feature engineering, feature selection, dimensionality reduction, etc.
• Interactive dashboard implementations using plotly dash and provide insights to Business.
Description
ANZ Digital: ANZ Digital is a transformation program aimed to move from centralized enterprise data warehouse to big
data and real-time analytics and able to engage with customers in a more real-time way based on their behaviors,
spending patterns or the way they go through our website with live support and provide a lot of insights and values.
Key Responsibilities:
• Lead and mentor junior data Science team.
• Segmentation and directing customers to product subscriptions by analyzing Customer's behavior using Cohort and
RFM analysis
• Creditworthiness prediction based on customer's demography and customer’s past spending and repayment
transactions.
Description
Philips M2O: Market 2 Order is a program to transform legacy centric systems to cloud-based and apply machine
learning, deep learning, Big Data and artificial intelligence (AI) technologies to help in the advance healthcare and get 360-
degree customer insights.
• Segmentation of Incidents based on clustering and natural language processing and provide insights to business
and drive automation of solutions
• Exploratory Data analysis in understanding the Quote to Order journey.
• Data Preparation, modeling and supervising the machine learning models and provide insights to the business.
Description
MDTA: Maryland Transportation Authority (MDTA) is an independent state agency responsible for financing,
constructing, operating, and maintaining eight toll facilities, MDTA has chosen Xerox as the vendor for their electronic toll
and back-office implementation program
Key Responsibilities:
• Worked on Business Intelligence by implementing the Maryland Toll back office system dashboard visualizations
using Tableau and OBIEE.
• Worked on text mining using tesseract, pillow, OpenCV, NLP to synthesize vast amounts of ezpass user’s
demographics, claims data.