Project: Konfer AI, Continuous AI Governance and Compliance software tool- Developed and implemented cutting-edge machine learning and deep learning models for resolving use cases like Credit Risk Modelling, Customer Churn Modeling, and Time Series Forecasting models, deployed in AWS Sagemaker & Azure ML Studio to leverage them as use cases to Konfer AI.- Constructed robust chatbot models to effectively classify user intents, perform entity recognition, and conduct sentiment analysis.- Employed state-of-the-art tools and frameworks like Pandas, Numpy, NLTK, Tensorflow, Spacy, AWS Data Wrangler to preprocess, clean, and transform data for model training and validation.- Implemented rigorous testing methodologies to evaluate model performance, fine-tune hyperparameters, and ensure reliability.- Conducted extensive research on AWS Sagemaker, Cloudwatch/Azure ML Studio to extract information to curate a knowledge graph of hosted AI assets of an organization.- Streamlined AWS Boto3 API/ML Client functions calls to retrieve component-level information from AWS/Azure ML resources. Devised and implemented workflow design to populate Data Model associated with HASURA DB using GraphQL endpoints.Project : Automatic Document Check- Constructed a flexible, scalable solution to process Lab-Generated Test Reports on Chemical Samples(PDF) into tabular data- Employed advanced NLP techniques such as tokenization, lemmatization, dependency parsing, and named entity recognition to extract structured data from PDF reports on chemical samples generated in the lab.- Utilized machine learning algorithms, including Logistic regression, support vector machines (SVM) and random forests, XGBoost, and Gradient Boosting techniques for classification tasks on the extracted data. Developed and implemented NLP preprocessing methodologies such as stop word removal, contraction mapping, and part-of-speech tagging to enhance the accuracy of the structured data extraction process.

Under the supervision of Dr. Mahendra Kumar Verma ( Department of Physics, IIT Kanpur)Project: SIR Prediction Model on 2nd wave of Covid-19 India- Executed research and collected data on the 2nd wave of COVID-19 in India, state and district wise- Constructed an ETL system and data pipeline, MoHFW API directly to SQLite server feeding the model- Developed a GUI application for Pandas Operation connecting with the ETL system, for ease of non- technical people- Procured data from multiple data sources and do Data Munging to convert it into analytical dataset to perform Time-Series Analysis.- Deployed Infographics, Data Cleaning and Data Processing on the ETL system

Working with the Business Strategy and Operations Wing of the company.Predictive Modeling on the Operation Dataset.Objective: To predict target customers for a particular product of the company.

FY 2020 METI Japan Internship Program, Technical Cooperation& Emerging Market Development Program organized byMinistry of Economy, Trade and Industry Government ofJapan| Host Company : I'm Beside you Inc partnered withJETROProject: Automatic Text Summarization using Natural Language Processing- Organized research on industry trends & algorithms to perform text summarization on transcripts text.- Created transcripts texts using AWS audio transcribe compiled from online video conferencing applications with 80% accuracy.- Administered classical and modern techniques to preprocess transcripts text achieving 30% better ROUGE metrics.- Applied pre-trained models on preprocessed transcripts to the output summarized text using- Evaluated ROUGE metrics on outputs with respect to its gold standard summary.

- Conducted research on industry trends & market demand and insights to capture 100% details- Monitored and efficiently distributed tasks to the team of 8 members on the basis of individual expertise- Operated tasks related to data mining and database administration, supported clients- Engendered 100% insights from large and complex datasets, understanding the nuances and inconsistencies in data- Articulated and bestowed data/conclusions in an instinctive manner to the project lead

As a Research Analyst, I am responsible for researching, analyzing, interpreting, and presenting data related to the organization working for Divyangjans(Pwd) in various states and countries,