pawan

Data Scientist at RPS Business Solutions. Complete 8+ projects and actively contributed to diverse projects involving
large datasets, implementing Python, NLP, and Deep Learning,Genrative AI, techniques, Django, SQL. Work with
collaborative team in developing a chatbots and full-stack applications. Proficient in machine learning algorithms, and
gained valuable experience in NLP and Deep Learning techniques

Complete 8+ projects and actively contributed to diverse projects involving large datasets.
Implemented Python, NLP, Deep Learning, Generative AI, Django, and SQL.
Worked with a collaborative team in developing chatbots and full-stack applications.
Proficient in machine learning algorithms.
Gained valuable experience in NLP and Deep Learning techniques.
Utilized Spacy Transformers and Spacy to develop a Document parsing system with 58% accuracy.
Created functions to convert text data into Spacy Doc objects, handling entity annotations, and storing them in binary format.
Utilized PyMuPDF for parsing PDF documents into text format.
Defined generation parameters such as temperature, top-p, top-k, and max output tokens for fine-tuning the model's output.
Implemented safety settings to mitigate potential harmful outputs, including categories such as harassment, hate speech, sexually explicit content, and dangerous content.
Implemented a text splitting mechanism (RecursiveCharacterTextSplitter) to handle large documents.
Utilized OpenAI's pre-trained model (text-embedding-ada-002) to generate embeddings for textual data.
Initialized and configured Pinecone for vector indexing, facilitating efficient similarity searches.
Indexed documents using generated embeddings to enable similarity-based document retrieval.
Utilized the langchain-openai library for language model interactions (gpt-3.5-turbo).
Implemented functions for administrative tasks: adding, viewing, and deleting doctors and receptionists.
Customized functions like doctor ID and email for deletion.
Enabled appointment scheduling and viewing via dedicated URL endpoints.
Implemented a patient-accessible URL for appointment deletion, improving scheduling control.
Implemented the functions for the inventory app, defining routes for managing stock, including listing, creating, updating, and deleting stock items.
Implemented various views for supplier management, purchase creation, deletion, and sales management to facilitate smooth transaction handling.
Defined views for various functionalities including home page rendering, page details, FAQ listing, enquiry form handling, contact page rendering, gallery display, pricing information, user authentication, and checkout process.
Developed functionalities specific to trainers such as trainer login/logout, dashboard rendering, profile management, subscriber management, payment tracking, password change feature, and notifications handling.
Implemented dynamic functions by utilizing path converters and parameterized URLs to enable features such as editing staff/course/session details and deleting staff/course/session/subject records.
Utilized Django's built-in class-based views and function-based views to handle various HTTP requests, such as retrieving user details, managing staff, courses, sessions, subjects, and handling student feedback.
Developed staff and student-specific functionalities, including staff's ability to take attendance, apply for leave, provide feedback, and manage profiles, as well as students' access to attendance records, leave applications, feedback submission, and result viewing.
Integrated views for different functionalities including home page, store, signup, login, logout, cart, checkout, and orders, location.
Implemented custom middleware for authentication, ensuring secure access to sensitive functionalities like cart and orders.