Mit Patel Email & Phone Number

Canada

Newfoundland And Labrador, Canada

Newfoundland And Labrador, Canada

Worked with unstructured text data on AWS, enhancing NLP techniques with Pandas to boost performance by ~70% and brought transformer based model and improved system performance 🚀:1. Customized Regular Expressions for crucial data extraction 🧩2. Conducted Text Preprocessing 📝3. Utilized Topic Modeling 📊4. Employed Word Embeddings (TF-IDF, FastText, Word2Vec) 📖5. Applied ML Models (SVM, Naive Bayes, Decision Tree) 🤖6. Implemented Data Balancing via SMOTE ⚖️7. Fine-tuned Document AI multimodel 📄8. Utilized AWS services (ECS, Lambda, Step Function, Terraform, CloudFormation) ☁️9. Created ETL process to load data from PROD, transformed and load for QuickSight dashboard to analyze user's usage for business. 📊📈10. Proficient in Transformer-based model fine-tuning with Huggingface 🤗.11. Effectively train and deploy transformer based model using Sagemaker.Managed large data volumes with S3 and Sagemaker while optimizing performance with PySpark. 📦💡

Halifax, Nova Scotia, Canada

Halifax, Nova Scotia, Canada

Halifax, Nova Scotia, Canada

Project was done under PIVP Invest Nova Scotia grant. - Led and executed a production-ready project utilizing LLM (Large Language Model).- Proposed and implemented solutions, utilizing the RAG process for decision-making.- Conducted bi-weekly work presentations to ensure alignment with business requirements.Project Highlights 🌟:Data Extraction 📊: - Overcame challenges with web PDF and webpage data sources. - Leveraged llmsherpa and langchain libraries for effective data chunking. Vector Database 🗄️: - Utilized Pinecone for efficient vector data storage.Embedding Model 🤖: - Compared and visualized multiple models for optimal performance.Dataset Creation 📚: - Developed context-question pairs for embedding fine-tuning. - Utilized the 7B open-source model, refining prompts for high-quality datasets.Achievements 🏆: - Achieved an impressive 83% hit rate with fine-tuned datasets. - Improved hit rates by ~10% compared to the best open-source models.Generative Model 🔄: - Extracted relevant texts from the vector database for LLM input. - Enhanced performance through effective prompt engineering.

Halifax, Nova Scotia, Canada

Check Data mining Assignment and Check undergrad student submission.

Halifax, Nova Scotia, Canada

Working with multiple data sources to get the required data. Created process; proposed calculations based on feature requests and fit that work in end to end workflow.

Halifax, Nova Scotia, Canada

Role: Research Associate🌱🔍 Problem Analysis & Solutions:- Diligently analyzed issues and devised effective solutions.- Focused on extracting carbon emissions data from diverse documents.🌐 Information Extraction:- Utilized Natural Language Processing for Information Extraction.- Web scraped online sources and extracted data from PDFs with Apache TIKA.📋 Text Data Refinement:- Systematically organized and refined textual data.- Employed NLTK for predefined entity extraction using grammar rules.💼 Business Enhancement:- Augmented the database with user-friendly flags and source links.- Streamlined data access and analysis, aiding efficient decision-making. 🚀

Halifax, Nova Scotia, Canada

Role: Senior Technical Developer 👨‍💻1. Efficient Project Management 🚀: Managed multiple projects simultaneously, prioritizing tasks effectively while adhering to Agile methodologies. Quickly adapted to new tech like Blue Prism, providing valuable support.2. Data Extraction and Transformation 📊: Extracted iMatch data using complex SQL in DataIKU, applying transformations with "pandas." Visualized workflows in Mural and presented sprint progress regularly.3. Data Analysis and Visualization 📈: Conducted in-depth database analysis, sourced data, and connected results to Tableau for visualization.4. RPA BOT Management and Support 🤖: Resolved issues, enhanced RPA BOTs, and facilitated team communication. Contributed to documentation and addressed server issues promptly.5. Data Processing for Machine Learning 🧠: Retrieved data from various sources, applied business logic, and prepared data for Machine Learning models within the Kanban framework. 🔄

Halifax, Nova Scotia, Canada

Subject: Data MiningTasks: Resolve student's queries, Assess Assignment and provide feedback.

Halifax, Nova Scotia, Canada

Python - Fetched the data from the Mysql and validate data. Add those data into Excel and add some comments based on received data. Agile methodology - followed Scrum framework in the assigned project.Optimization/ Performance - Added multithreading with multiprocessing. Cutover redundant steps in the process to make it fast.

Master'S Degree, Computing And Data Analysis, 4.15

Data mining - I performed clustering, classification, time series and Association mining on different datasets. Business Intelligence - I.

Bachelor Of Technology - Btech, Computer Engineering, 9.04

Activities and Societies: I was work under various student chapters such as CSI, NSS, III. I had organized a village under the NSS camp.