Career Profile:
• 5 plus years of analytical engagement on review and analysis of quantitative data to gain insight, Exploratory data analysis, Text mining, Forecasting, Sentiment Analysis, Predictive Modelling and Machine Learning capabilities
• Knowledge of different domains, exposure to different business problems and relevant solutions
• Exposure to different analytical technologies like SAS, MS-Excel, R, Python (Machine Learning)
• Lead a team of 8 Data Scientist Analyst and responsible for their KRA, Project Management and mentoring and training
• Drove large transformation initiatives consisting of multiple vendors & different
departments across organization.
• Timely accomplishing bigger milestones in large analytical framework & facilitated it’s
conversion into business ROI.
• Knowledge of different domains, exposure to different business problems and relevant
solutions.
• Proven capability to deliver results both as an individual contributor and as a team
leader
Issues Identification and Text Classification for a US Based Airline: I build a model to identify potential issues on customer complaints email data. Worked on building alternate text classification models like Multinomial Naïve Bayes, Logistic Regression, SVM -SVC in python to cross validate the output obtained by Watson Services. Also developed LDA model to relevant topics from the email document.