SyTrue Inc. later ClaimLogiq now Apixio (Jan'18-Dec'23)

Role: Head of Data Science Research (Apr'22-Dec'23)

Responsibilities: 

Technical:

As the Head of Data Science Research the role included:

• Responsible for the design, creation, modification, and maintenance of the NLP Modules. 

• Coding  End-To-End ML-NLP experiment pipeline on Azure.

• Data identification strategy for balanced dataset identification for Annotation.

Managerial:

• Lead Data Annotation effort for creation and maintenance of quality data for NLP model building.

• Lead work and team of research Data Scientists. Delegate work to reportees and provide visibility of overall work to the stakeholders.

Training and Educational:

• Create and Support Training Academy work with new materials and Capstone projects.

• Create customer facing documentations for NLP Modules.

• Documentation of work and support best practices for documentation.

• Onboarding and Training of new hires into the Company Data Science Research group.

• Develop and groom reportees to achieve assigned business objectives.

Experience Working with Terminologies: SNOMED, ICD9, ICD10, RXNorm, LOINC, NcIt

Experienced in building Hybrid intelligent systems (Rule Based + ML Based)

Value Added: Created End-To-End ML-NLP experiment pipeline on Azure.

Role: Senior Clinical Data Scientist (Feb'21-March’22)

Responsibilities: Research and Development of different Terminology Automation.

Value added:  Multiples tools introduced into existing pipeline to automate various workflows. Created an academy from scratch for the company for training employees and clients.

Role: Clinical Data Scientist (Jan'18-Feb’21)

Responsibilities: Research and Development of Healthcare specific NLP modules.

Value added: Multiples POCs for data Cleaning, modelling, and deployment. Process improvement.

Consultant: Data Science & NLP, Episource India Pvt. Ltd.  (Jan'17-Jan’18)

Project: Processing Clinical Text using NLP and AWS in scalable fashion

Responsibilities: ETL and deployment for Domain Data into Dockerized Semantic DB, API for query, Creating Gold- standard Data from annotation using BRAT, Creating and deploying ML and NLP solutions on AWS.  

Value added:  Multiple POCs around AWS for cost minimization for server-less AWS architecture

Junior Research Fellow, IIT Kharagpur (Sep'14-Jan'17)

Project: Urban Governance: Sustainable Policies and Implementation (USP)         

Responsibilities:  User behaviour modelling using log data and crowd sourced citizen data analysis using NLP   techniques

Value added: Handled end to end procurement of Bare-Metal server for high-performance computing.

Project Engineer, Wipro Technologies (Mar’13-Sep’14)

Project 2: Research & Development, Wipro CTO office                                                                      

Skills Used: Semantic web, RDF, Ontology, Protégé; Value added: Contributed in solving master data replication problem

Project 1: Java-J2EE Developer. US bases Bank-Global Corporate Trust System                                     

Skills Used: Liferay, Spring, J2EE, HTML, CSS, JavaScript, Java, MVC, SQL, Ajax

Value added: Wrote Automation script which saved 2 Hrs/employee/day. Wrote Case study for the project. 

Coach (Instructor), Society of Nature, Education & Health (July'12-Jan'13)

Trainer for Language C and Web Designing (HTML, CSS, JavaScript).

Value added: Designed curriculum for complete web design and development using Java Technologies.

IIT Kharagpur (Spring 2014 - Spring 2017)   

CGPA:  9.69 🏅  

Guide: Prof. Mamata Jenamani

MS by Research- Industrial and Systems Engineering with focus on Research in ML and NLP

SIT, Bhubaneswar (Autumn 2008 - Spring 2012) 

CGPA:  8.27  🏆

Bachelors in Technology in Information Technology

Part-time or Executive Educations:

Recently Completed Certificate Program in Healthcare Management from ISB Hyderabad,  Duration 3 Months 

Attended IIIT-H Advanced Summer School on NLP (IASNLP-2016) at IIIT Hyderabad from 20th June to 4th July, 2016.

GIAN workshop on 'Introduction to NLP' at IIT, Patna, 2016

Kumar, V., & Jenamani, M. (2018, January). Identification and Prioritization of urban issues from Smart City data. In 2018 International Conference on Smart City and Emerging Technology (ICSCET) (pp. 1-7). IEEE. (Link)

Kumar, V., & Jenamani, M. (2017). Context preserving navigation redesign under Markovian assumption for responsive websites. Electronic Commerce Research and Applications, 21, 65-78.( Link)

Umasankar Das, Girija Prasad Mohapatra and Vinay Kumar (2013). "Design of a Recommendation Model Considering Semantic  Analysis". International Journal of Computer Applications 77(1): 45-49. (Link)

Regular speaker in various meetups and conferences.

✔ Healthcare Economics and Prospects, Sindhi PU College, Bangalore (July 28, 2021)

✔ Expert Talk on Machine Learning & NLP at U.I.E.T, Panjab University, Chandigarh,(July' 10 – 14, 2018)

✔ Identification and prioritisation of Urban issues from Smart City Data, IEEE Smart City Conference, 5/1/2018, Mumbai.

✔ Introduction to Machine Learning and NLP, PyData Meetup, 2/12/2017: (bit.ly/2Az5Rq5)

✔ Hitchhiker's guide to using Neo4J: Trials & Tribulations of deploying a scalable graph API on Cloud- PyData, Delhi(Sep' 1-2, 2017) (bit.ly/2C7rb7j)

✔ Expert Talk on Semantic Web, Ontology at U.I.E.T, Panjab University, Chandigarh(Mar' 26 – 28, 2017)

✔ Web Log Analysis and R tutorial at Web Data Analytics using R and Python- IIT, Kharagpur (Sep' 6-10, 2016)

✔ C Project at C & C# Rapid Projects held at UCET, Vinoba Bhave University, Hazaribagh (March 18-21, 2013)

Organiser for Banagalore's Largest AI & ML based meetup (Meetup Link).Regularly organizing events and keep my self updated with latest tech/solution/architecture/thought process in AI.

Reviewer at Electronic Commerce Research and Applications, Elsevier.

Program Committee member at International Conference on Information Society and

Smart Cities. Cambridge, UK.

Awarded Junior Research Fellowship from 22nd Sep, 2014-2017 from IIT, Kharagpur.

Received accolades for Academic Assistance in short term summer course on “OOP and

Algo. in JAVA” & Web Data Analytics using R and Python at IIT, Kharagpur.

Volunteered for teaching “Basic computing, C programming and Web-Design” to

underprivileged students at hometown and for teaching Language C to 60 1st year students

during bachelors.

IIT Kharagpur (Spring 2014 - Spring 2017)   

Context preserving responsive navigation redesign under Markovian assumption. (Published in Electronic Commerce Research & Applications) (Link)

Identification and Prioritization of urban issues from Smart City data. (Published in 2018 International Conference on Smart City and Emerging Technology (ICSCET). IEEE.) (Link)

Subjectivity Analysis for Hashtag, tweets, YouTube comments, newspaper articles and sub classification tasks.

Aspect Based Sentiment Analysis for identifying citizen's concern from crowd sourced governance ideas.

Word2vec based semantic recommendation model (Data Set: Amazon) at IASNLP-2016. (IIIT-HYD)

Churn Prediction for bank data using Artificial Neural Network (IIT – Kharagpur 2017). Bank Marketing Data Analysis using R (IIT – Kharagpur 2016).

SIT, Bhubaneswar (Autumn 2008 - Spring 2012) 

Designed recommendation model considering semantic analysis. (Published in IJCA)

Advertising in Vertical Social Network.

Developed and deployed college tech-fest website single-handedly in 15 Hrs. Won National level website design contest twice.

Lead a 16-member team for web-development for 3 years during B.Tech.(www.vgyan.com)

Regularly attending training in Azure for AZ, DP and AI Series.

Attended Rootconf 2017 and The Fifth Elephant 2017 organised by Hasgeek in Bangalore.

Training in Big-Data and certification in Hadoop from skillspeed.com.

'Supply Chain Network-Modelling and Analysis' & 'Data Analytics with SAS' & 'Applied Machine Learning' at IIT, KGP.

Languages/Tools/Framework/Cloud Environments: Python, Numpy, Pandas, Matplotlib, Scikit Learn, TextBlob, NLTK, TensorFlow, Keras, PyTorch, C, Java, J2EE, R, AWS, Google Cloud, Docker, GraphDB, Hadoop, Neo4j, Keras , Azure, AWS (Boto3), RAG, Langchain, Huggingface, OpenAI APIs, Prompt Engineering ,LLMs, Transfer Learning, Fine Tunning.

Area of Interest: Text Mining, Machine Learning, Optimization, Operations Research and Statistics

Hobbies: Organizing Meetups, I like to swim, play Lawn Tennis, Table tennis, badminton,

Volleyball. In my free time, I am an analogist. I like to share my knowledge with

underprivileged students as and when I get an opportunity