Programming Language: Python Machine Learning and Deep Learning Tools: Jupyter Notebook, Matplotlib, Pandas, Scikit-learn ,Keras, Tensor Flow, Random Forest, RNN, CNN, Pytorch, and AutoML tools such as H2O, PyCaret ,Pysp…
Programming Language: Python Machine Learning and Deep Learning Tools: Jupyter Notebook, Matplotlib, Pandas, Scikit-learn ,Keras, Tensor Flow, Random Forest, RNN, CNN, Pytorch, and AutoML tools such as H2O, PyCaret ,Pyspark, MLOPs
Natural Language Processing: NLTK, Transformer Models (BERT, GPT-4)
Data Visualization: Power BI, Tableau, Microsoft Excel
Model Deployment -Amazon Web Services(AWS), API, Azure
Data Science and Artificial Intelligence: Machine Learning Algorithms, Deep Learning Algorithms, A/B testing,Natural Language Processing(NLP), Huggingface, Time series analysis, Statistics, Linear Regression, Logistics Regression, Neural Networks, Data collection, Data cleaning, Model deployment, Data abstraction, encapsulation, SQL, Exploratory data analysis (EDA) , Computer Vision, Web Scrapping, CI/CD, Azure Data Factory, Azure Data Bricks, Generative AI, LLM use case such as RAG, Fraud Detection, Generative Adversarial Networks (GANs), Agentic AI, Fine-tuning, Embedding, LLaMA , LoRA/QLoRA, Big Data, Data Security & Privacy
Developed a Generative AI chatbot for mental health care support, achieving a 90% user satisfaction rate.
Developed and deployed a sentiment analysis model for customer reviews using LSTM and BERT, achieving a 90% accuracy rate and enabling a 20% improvement in customer satisfaction through targeted feedback responses.
Developed and deployed a web page readability index analysis using NLP techniques, improving user comprehension by 25% and enhancing overall content accessibility.
Implemented Named Entity Recognition (NER) using BERT to accurately identify and categorize entities in unstructured text, achieving an 85% F1 score in entity recognition and enhancing information extraction processes.
Collaborated with team members to streamline processes, communicate findings effectively, and ensure timely execution of tasks for client projects.
Developed a Generative AI chatbot for mental health care support, achieving a 90% user satisfaction rate., Developed and deployed a sentiment analysis model for customer reviews using LSTM and BERT, achieving a 90% accuracy rate and enabling a 20% improvement in customer satisfaction through targeted feedback responses., Developed and deployed a web page readability index analysis using NLP techniques, improving user comprehension by 25% and enhancing overall content accessibility., Implemented Named Entity Recognition (NER) using BERT to accurately identify and categorize entities in unstructured text, achieving an 85% F1 score in entity recognition and enhancing information extraction processes., Collaborated with team members to streamline processes, communicate findings effectively, and ensure timely execution of tasks for client projects.
Implemented a semantic search-based movie recommendation engine using NLP, improving recommendation accuracy by 20% and increasing user engagement by 30%.
Extracted data through web scraping and developed Python, updating Excel Sheets for data management.
Supported senior data scientists in designing predictive models, improving accuracy by 10%.
Participated in the data preprocessing phase, ensuring a clean dataset for all ongoing projects.
Installed, configured, and maintained computer software for department staff.
Delivered technical support for software-related queries and issues.
Diagnosed software issues and implemented timely solutions.
Managed user accounts and permissions for software applications.
Performed regular software updates to ensure security and stability.
Maintained computer labs, managed inventory, and procured equipment.
Updated class materials and provided diverse learning resources.
Designed and administered assessments to evaluate understanding.
Implemented a semantic search-based movie recommendation engine using NLP, improving recommendation accuracy by 20% and increasing user engagement by 30%., Extract data through web scraping and develop Python, updating Excel Sheets for data management., Supported senior data scientists in designing predictive models, improving accuracy by 10%., Participated in the data preprocessing phase, ensuring a clean dataset for all ongoing projects.
Maintained computer labs, managed inventory, and procured equipment., Updated class materials and provided diverse learning resources., Designed and administered assessments to evaluate understanding.
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