Dr. Basavaraj S Patil, PhD (Computer Science - Neural networks)

Contact: +1-704-***-**** Mail: adz7e7@r.postjobfree.com adz7e7@r.postjobfree.com

Google Scholar Link : https://scholar.google.com/citations?hl=en&user=Z7Dc1q4AAAAJ

www.linkedin.com/in/basavarajpatil, www.ethicalaiactivist.com (social initiative)

Senior Data Science Architect, AI,NLP-Gen AI Expert in Predictive Models

CAREER SUCESSES & DISTINCTIONS (18 years, 29 AI Publications, 2 StartUps, 3 Patents, 1 PhD Guided, 175 Citations).

SOLUTION ARCHITECT, PREDICTIVE RESEARCH INC, REMOTE – SEPT 2023 TO TILL DATE

oDeveloping AIOPs Platform ‘PredictOPs’ – Automation algorithms, machine learning techniques for production logs, alarms indicators, application monitoring algorithms, Anamoly detection, Alert Correlations algorithms, building Financial trading platform, Python –Pandas, NumPy, TensorFlow Deep Neural network-based Time-Series Algorithms

SENIOR DATA SCIENTIST, VERIZON COMM INC, PLANO, TX, - JULY-2022 to SEPT -2023

oDeveloped Propensity Scoring Models for Gaming Subscribers, Penetration into new service areas, Wireline marketing campaigns, worked on rule-based framework to identify user geo-location with network data. Applied Generative AI GAN Model to generate penetration data. Worked on Google Cloud Platform, Big Query, Vertex-AI Model Garden and Generative AI Studio. Experimented on freeform prompt and structured prompt. Conducted several experimentation for LangChain LLM models for IVR response systems. Responsible for filing of 2 Patents for Verizon.

AI/ML SOLUTION ARCHITECT, PPG, PITTSBURGH, USA, REMOTE - JAN-2021 to JUNE -2022

oDeveloped Customer Lifetime Value Model for B2B customers for PPG paint manufacturer client. Here worked on B2B transactions data, created sales forecasting models utilizing historical recency, frequency, monetary values data and product related relevant data. Created CLTV based customer segments from irregular, least profitable irregular to most profitable, regular, segments.

oDeveloped predictive models for insurance claims data to find health patterns.

AI/ML ARCHITECT, REGENERON INC, Tarry Town, NEW YORK, USA- JULY-2021 to DECEMBER -2021

oDeveloped several models for various divisions of REGNERON INC for Subvisible particles recognition in drug manufacturing pipeline. Used various deep neural network-based image recognition models and also worked with pharma development scientists

oDeveloped predictive models for insurance claims data to find health patterns.

AI/ML ARCHITECT, JHONSON & JHONSON, NEW JERSEY,USA (REMOTE) - FEB-2021 TO JUNE-2021

oInvolved in the development of MLOPs strategy & thought leadership team. Implemented the ethical AI framework in the ISAAC Platform, JnJ MLOPs Platform. Developed several solution architectures for Drug Usage Abandonment Models for Medicare related data, Behavioral Patterns, Continuous drug manufacturing problems, Convolutional Neural Network Classifiers for Subvisible Particle detection in Flow Microscopy Images. Used Image Recognition Pre-trained Models.

CONSULTANT-AI/ML ARCHITECT, AT&T, DALLAS, TX,USA, OCT 2018-JAN 2021

oData Science Leadership - Design of Solution Framework for Tech Support Ticket Prediction Models (Automation), Python-TensorFlow Models, Solution Architecture for Predictive Models to recognize category of Ticket - based on Text Content, Built NLP Pipeline, NLP Classifier, Experimented Open AI, word embeddings API-Gen AI tools, Mentoring Junior Data Scientists, Sole AI/ML Responsibility in Project.

CONSULTANT - ADVINOW MEDICAL LLC - PHOENIX, AZ, USA, JULY -2018 - OCT 2018

oDiagnostic Engine Development, Modelling the healthcare symptoms to diseases using Bayesian Algorithm, Development of k-means clustering algorithms, Python, TensorFlow Models, Gitlab control, Google Cloud, Big Query

CONSULTANT, FORECUBES INC, MILPITAS, CA, USA - MARCH-2018 TO MAY-2018

oAs part of NLP based voiced enabled conversational commerce Bot, built Proof of Concepts on Voice Recognition System on Python-TensorFlow, for Conversational commerce Platforms using Deep Neural Network. GPU, Google cloud Platform.

oDeveloped Speaker Identification System as Two-tier security System for the financial transactions for a Bank using Python-TensorFlow DNN framework

CO-FOUNDER & CHIEF DATA SCIENTIST, PREDICTIVE RESEARCH LLP, INDIA(SEPT 2011-FEB 2018)

oWorked on Health Care Project for one of our client Care Connectors, USA: We have developed a Machine Learning model to identify the patient’s readmission into the hospital again after has discharged from the hospital previously within 30 days. Hospitals will not get Medicare or Medicaid Insurance claims if Patients readmit within 30 days.

oCoded in Python, MongoDB, the AI Engine to match profiles and job requirements. I have designed the scoring model for profiles against the given job requirement. Built NLP pre-processors, using word2vec, wordnet, TF-IDF and developed innovative hybrid algorithm to match, score profiles (1 Patent filed by Client OneTech Ventures)

oDeveloped 3 NLP based APIs using flask framework, to detect Gender, Age and Context of the user, using NLTK, SPACY, LDA, TEXTBLOB. Worked on developing intelligent Ad Bidding Engines for client AdMaxim,USA

oStarted from scratch, architected the ML based Hospital Re-Admission Risk Measurement System in Hospital Information System. The client was Care Connectors, Inc. USA

oEvangelized Big Data technologies and Mentored Teams in R, Hadoop, Python, Pig, Hive, HBase, MangoDB, Mahout-Machine Learning Framework at Predictive Research

AVP-QUANTITATIVE RESEARCH HSBC BANK (2005 DEC TO 2010 FEBRUARY) BANGALORE, INDIA / LONDON UK.

oBuilt several predictive models to predict the future stock prices, stock screeners, Options Optimizers for Stock Markets (All the work is in Matlab/Octave, with financial, statistics, neural networks, fuzzy toolboxes)

oResponsible for the development of various mathematically complex financial models (Matlab based Excel, VB Applications) for knowledge discovery from the databases, that are utilized in generating the trading ideas to make money and to calculate Risk involved in each strategy

TECHNOLOGY CONSULTANT, MANTHAN SYSTEMS, (WWW.MANTHANSYSTEMS.COM) (2005 APRIL TO 2005 DEC)

oAnalyzing different technologies and designing, reviewing and freezing the technical architecture, Development of Proof-of-Concepts, High Level Design of a Product, Development of working models and prototypes, leading a division of Analytics and Prediction (3 people in model building and 5 people in implementation)

oModelling in Retail Domain Analytics: Sales forecasting, correlation, regression, causality analysis, stress testing, what if analysis of key performance indicators

TECHNICAL ARCHITECT, ARISGLOBAL (WWW.ARISGLOBAL.CO.IN) (2004OCT– 2005 APRIL)

oOwnership of end-to-end delivery of neural network based predictive models for virtual screening of drugs: similarity searching, drug likeliness, toxicity prediction, chemo-informatics models, data mining techniques,

oDeveloped several Models using MATLAB, SA for drug discovery virtual tools

ACCOMPLISHED PhD RESEARCHER/FACULTY / CHIEF CO-ORDINATOR OF SPONSORED PROJECTS (1993 – 2004)

oMore than 7 years in Machine learning Research, built numerous Artificial Intelligence based applications for prediction, Used Pattern Recognition Models, Neural Networks, Genetic Algorithms, Fuzzy Systems and Hybrid Systems (Matlab based systems), Initiated, proposed, Central Government sponsored research projects and acted as Chief Co-Ordinator for implementation. Completed Ph.D.(2004), in CSE, after M.Tech with distinction and First class B.Tech.

ACADEMIC EDUCATION

•Ph.D. Degree in Computer Science & Engineering from Kuvempu University in 2004.

•Thesis Title: “Neural Network based techniques for Document Image Processing: A New Approach”.

• The thesis contains numerous Neural Network based and several Hybrid Pattern Recognition Systems.

•M.Tech Degree in Bio-Medical Instrumentation, First Class with Distinction (2nd Rank), from S.J.College of Engineering, Mysore, University of Mysore, Karnataka, India in 1995.

•B.E. Degree in Electronics & Communication Engineering (1st Class) from Government B.D.T.College of Engineering, Davangere, University of Mysore in 1993.

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