SUMMARY

• I have demonstrated leadership in conceptualizing and implementing state of the art technologies to solve critical business problems in Healthcare, Retail, CPG, Pharmaceutical, and Financial Services industries.
• I bring perfect blend of Business and Technology skills that enable me to drive actionable insights from data to solve critical business problem.
• Furthermore, management consulting experience has enabled me to develop structural and critical thinking, C - level communication and presentation skills, and influence cross functional teams and decision makers using data driven approach.

TECHNICAL SKILLS

• Hadoop, Map Reduce, Spark, Scala, Hive, Pig, HBase, Solr, and documentDB
• Artificial Intelligence, Natural Language processing(NLP), Text Mining, Word2Vec, Glove, Convolution Neural Network (CNN), Image Classification using Deep Learning, Object Detection from Image Using Deep Learning
• Face Detection Using Deep Learning, Computer Vision, Character Recognition from Images(OCR), Image Similarity using Deep Learning, Text Classification Using Recurrent Neural Network/LSTM
• Seq-to-Seq Analysis, and ChatBot building using Deep Learning/api.ai APIs
• Azure ML Studio, MSFT R server, Cortana Intelligence Suite, Azure IOT, Stream Analytics, R, SAS, Python, SQL, PL/R
• Tableau, Qlik, and D3.js
• Statistical Modeling, Machine Learning, Tensor Flow (Google AI Engine), CovNet, NLP using Deep Learning, Predictive Analytics, Tesseract, Optimization, and Simulation,
• Azure, AWS, Alexa Skill Building
• Ethereum, Entereum/Solidity, Hyper Ledger - Fabric, CoinChain, Smart Contract

PROFESSIONAL EXPERIENCE

Confidential

Responsibilities:

• Developed a deep learning model to detect faces, jersey number, shoe brands, and basketball from images that enabled contract team to optimize TV contracts and generate additional revenue by 20%
• Developed deep learning models to identify similarity of clothes in images
• Developed large scale deep learning models to extract texts from scanned electronic medical records (EMR) records and applied natural language processing (NLP) to convert unstructured data to structured data that enable physicians to identify potential cancer patient
• Developed Alexa skills to optimize operation of a sports and entertainment client
• Developed a chatbot/virtual agent using api.ai APIs for customer service for a retail client that reduced customer service cost by 15%
• Developed a machine learning models to classify adverse events using unstructured data/NLP and deep learning technique for a pharmaceutical client that saved$3M in three years
• Developed a machine learning model to classify DRG group of in-patient in early stage of their visit that lead to higher contribution margin and optimum allocation of resources
• Mined clinical data to extract biomarkers and determine optimal therapy provided by physicians to patients
• Developed a predictive model to predict re-admission rate of diabetes patients for a healthcare provider that helped to identify root cause of re-admission and improve customer satisfaction
• Developed a solution to index and search documents using solar/banana and Hadoop for a healthcare client that increased productivity by 15%
• Developed a model to predict delay in shipment of products using machine learning and predictive analytics techniques for a pharmaceutical client that enabled them to optimize supply chain and save $15M per year
• Developed a predictive model to optimized nurse schedule in a hospital that saved $1M over three years
• Identified and ranked most effective digital advertising channels by mining click-stream data and in-store transactional data and provided insights to understand Omni-Channel customer behavior for a $70B retailer
• Developed a machine learning solution for campaign management for a retailer that increased campaign effectiveness by 8%
• Architected and build next generation supply chain analytics platform using Hadoop for a pharmaceutical company. Developed data ingestion, data processing, and data visualization that reduce cost by 10%
• Led implementation of predictive models to understand customer behavior using social media data for a financial service client and provided actionable insights that increased marketing campaign effectiveness by 15%
• Conceptualized and led implementation of one of the world’s largest customer insights platform to drive customer insights that enabled personalize customer experience across Omni-Channel, understand shoppers purchase behavior at store level, and tailor the merchandise to local demographic
• Developed a model to predict customer churn analysis for a financial service company and provided solution that enabled them to reduce churn rate by 5%
• Developed analytical models that optimized asset utilization - human capital and equipment, of a F500 OIL & Gas field service provider that increased asset utilization by 15%. Predictive and optimization models are built in R and Tableau is used as visualization tool
• Developed Big Data strategy-people, process, technology, and right opportunity including developing roadmap, governance model, and setup elastic organization structure for a CPG client that secured $1M corporate funding to implement the strategy
• Led development of trade promotion analytics using Big Data and advanced analytics technologies for global retailer to measure impact of various promotion types - online, mobile, display, and paper ads, for two millions SKUs in fifty markets and provided insights that resulted in increase in revenue by 15% and decrease in promotion cost by 30%

Confidential

Principal Data Scientist

Responsibilities:

• Developed “Propensity to Buy” model using advanced analytics techniques for a leading retailer having >3000 stores that improve customer response rate by 6% during campaign period and ROI by 10%
• Mined online click-stream data and call-center data and provided insights that reduced call-center operating cost of a financial service provider by 20% and enhanced customer experience by 10%