Principal Data Scientist and Head of Data Science at Oorwin Labs Pvt. Ltd., Hyderabad, with 6 years of experience. Has worked on AI/NLP, recommendation systems, search (Apache Solr/SolrCloud), computer vision/OCR, data a…
Principal Data Scientist and Head of Data Science at Oorwin Labs Pvt. Ltd., Hyderabad, with 6 years of experience. Has worked on AI/NLP, recommendation systems, search (Apache Solr/SolrCloud), computer vision/OCR, data architecture, and deployment/hosting using Docker and cloud platforms (AWS/Azure/GCP). Also serves as a Live Session Expert/Mentor at Upgrad and has prior roles in NLP/speech and data science at Theatro Labs, Senseforth AI Research, and Infosys.
Product Development & Project Management
Team Building, Team Training
AI models & server Deployment/hosting of our product services, maintenance
Market, Customer and Business Analytics - Choosing next use cases, implementing new ideas, R&D
Recommendation Systems, Personalized Recommendation, Text Similarity, Document Similarity, News detection
Client interaction for continuous improvement
Data Architecture And Design, Designing Approach, Building custom algorithms and custom frameworks
Pre-screening Chatbots, Employer Chatbots
Computer Vision based Video Interviews - emotion capture, video analysis, audio analysis, face verification, speech to text, etc.
Client Data Migration - Automation
Principal role
Team Building and Training
Developed Resume Parser, Job Description Parser, Email Parser, Document Parser, LCA Parser
NLP Information Extraction, Intent detection, Topic modelling, Custom Entity extraction
Email Classification, Document Classification, Domain Classification, Resume Classification
NLP, Document conversions
Implemented Keyword Search and Semantic Search for our Candidate Ranking System (accurate and fast indexing search) (Advanced search capabilities and filters)
Implemented Candidate Matching & Ranking, Candidate Analytics
Built Scraping Engines for our use case to grab jobs, candidate profiles, recruitment data/news
Accurate Email verification and IMAP
Computer Vision for OCR related information extraction from images, pdf parser, xml parser, box detection, entity detection and recognition
Leveraged GPU for training on high-end algorithms fastly and accurately
Recommendation System - Text similarity, Document Similarity, Industry specific similarity
Data Architecture, Client Data Migration, Chatbots
Data Mining, Data tagging, Data Analysis, Feature Selection & Model Selection, Model Building, Model Validation, Model threshold validation, log analysis
AI Models Deployment - Dockerization of our product services and monitoring servers performance
Worked on Audio codec analysis (mainly for G711, Speex, Opus, AMR, Flac) for our ASR engine with respect to frame sizes, bit rates, sample rates, audio quality, etc., for our products / environments, requirements and end-to-end implementations
Worked on NLP chatbot using Google Dialogflow & RASA - Streaming audio and integrated it with our product using GRPC CPP / Python Application
Implemented it convert our command based product to free flowing human language product
Text mining / analysis using Word2vec model, Words Movers distance algorithm, Fastext model, CRF model, LSTM - CNN models, Stanford Dependency parser
Also implemented BIDAF (Bidirectional attention flow model) of Stanford Squad dataset
Developed Chatbots using NLP / NLU - GATE text engineering – Extracting intents/entities from text (randomized sentences written in different ways), scoring, making synonym module, antonym module, randomized time and date extraction module, phrase extraction modules, etc.
Integrated all to my chatbot framework
Worked on this for Banking, Telecom, IT-Support, Finance domains
Implemented MIS Chatbot, which in summary stores context of previous queries of the user and also shows visualization for the finance related queries from the database
Made and used vast number of modules using GATE at Senseforth for intent / phrases identification from query texts and documents
Also worked with word2vec, fastext, WMD, dependency parser for text analysis using Python
Worked on Candidate Rankings and Candidate Comparison use case using Machine learning Random forest for our client data
Created a Tableau visualization for it
Worked on clustering usecase for telematic data to analyze achievable profits for the client
Worked on telecom data to analyze achievable profits for the client - prescriptive analytics
Worked on Email Sentimental Analysis problem for my client using Bag-of-words and Random forest model (Text Classification)
Worked on fraudulent claim predictions, client subscription analysis - predictive analytics
Worked on Chiller plants maintenance data using Linear Regression Analysis, Exploratory Analysis, Association Analysis to get the insights from data using R, Python and thereby detecting spikes of the plant - Descriptive analytics, EDA
Worked on solving Cross-Site Scripting Vulnerabilities using Cold Fusion technology
Worked on developing and enhancing the features of web applications using ASP.NET
Worked on customer data and its intricacies using MS CRM and MS NAV tools. -2016
Mentoring & Training Students into Data Science, NLP, Doubt resolution, though leader
Giving Live sessions, group sessions, concept wise course recordings, seminars, webinars on various AI topics
Support Chatbots, Pre-screening chatbots, domain specific chatbots
PDF parser, invoice/bill parser POC
BlockChain - Hyperledger Fabric based ASN - Advanced Shipment Notification - Supply Chain
BlockChain - Hyperledger Fabric based Insurance Claim Settlement DApp
Built FishCoin DApp using Ethereum BlockChain - which shows how trustworthy your fish is
(Used solidity ethereum, truffle for this) - Personal Implementation
Building Hotel & Travel booking website - yennarascala.com
Building transaction & asset Tokenization system using crypto
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