Raj Krishna Mondal, Phd Email & Phone Number

* Programming Languages: C, C++, Python, R, SQL* Tools/Packages: Python ecosystem for data analysis (Scikit-Learn, Numpy, Pandas, Statsmodels, Seaborn, Plotly, Matplotlib,TensorFlow, Keras, Spacy, NLTK, RegEx, PySpark, PyTorch), FastAPI, flask, Git, MySQL, AWS, MATLAB, Excel, Tableau, Power BI, Apache Solr, langchain, Llama Index* Analysis: Modelling of large datasets with Machine Learning and Deep Learning, Natural Language Processing, Prompt Engineering for LLM, time series analysis, numerical integration of complex systems (ODEs/PDEs, CFD), Big Data, Complex Decision Making, Medical Diagnostic, Qualitative Research* Interpersonal: problem-solver attitude, interest for new challenges and technologies, rapid learning and absorption of unfamiliar concepts, ability to work autonomously and in group, ability to coordinate small groups, good communication/presentation skills.

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  Data Scientist

  Infinite Analytics

  Sep 2021 - Present

  I have been instrumental in shaping and executing innovative projects that harness the power of Natural Language Processing (NLP) and Deep Learning to drive enhanced data accessibility and analytical capabilities.• Human Language-Powered Reporting Engine: Spearheaded the conceptualization and development of a dynamic Search Engine with the ability to generate diverse types of reports using Human Language input. This groundbreaking solution has empowered users to effortlessly create insightful reports through intuitive language, revolutionizing data-driven decision-making.–Tools and Techniques: NLTK, RegEx, Transformer, BERT, Classification, Pandas etc.• Entity Extraction from Natural Language: Developed an entity extraction system, leveraging NLP andAPI integration, to accurately extract various entities from Natural Language inputs based on specific API requirements. This process has greatly enhanced the accuracy and efficiency of data preprocessing and enrichment.–Tools and Techniques: Named Entity Recognition (NER), Data Transformation, API integration, FastAPI, Uvicorn• Schema Identification for SQL Generation: Engineered a robust model that accurately identifies theappropriate database schema based on user queries, subsequently generating optimized SQL queries. This innovation has streamlined the data retrieval process and improved query performance.–Tools and Techniques: Named Entity Recognition (NER), SQL, Machine Learning• Cognitive Search Engine with Question Answering Capability: Pioneered the development of acomprehensive Cognitive Search Engine, powered by Large Language Models. This engine facilitatesintuitive Question Answering on custom documents, extraction of information from diverse databases, and generation of various business reports in a conversational manner.–Tools and Techniques: Prompt Engineering, OpenAI, LangChain, Llama Index