Nagesh Mashette's Linkedin Analytics

Data scientist with 5 years of experience in this field with delivering proven results. Passionate about converting ideas into implemented projects. Worked extensively on multiple projects in multiple domains and delivered results within time constraints. Experienced in working with MNC, start-up in solving real-world problems. -Blogger in Medium (Towards Data Science). https://medium.com/@nageshmashette32 -GitHub -- https://github.com/NageshMashette?tab=repositories Technologies: - Gen AI (LLMs, LMMs, code generation, fine tuning LLM models). - Closed Sourced and Open Sourced LLMs. (OpenAI, PaLM2, LLaMA2, Mistral, Zephyr etc) - Prompt Engineering, Chain of prompts, Giskard (LLM Testing), Vision Models (GPT-4V, LLaVa, Gemini vision). - Data analytics, Machine learning, artificial intelligence. - ANN, CNN, RNN, LSTM, GRU, Transformers, Bert, GPT, GAN. - Python, Scikit-learn, Time Series, Keras, Tensorflow, FastAI, Pandas, Numpy, NLTK, spicy, Flask, Data modelling, Evaluation & Deployment, Natural language processing (NLP), Computer Vision (CV), Deep Learning, A/B Testing. - Tableau, Power BI. - SQL and NoSQL.(MySQL, Mongodb) - Time series. (ARIMA, FbProphet, Holtwinter) - Azure data services. - Image classification, Object detection, Image segmentation and object tracking. - TensorFlow lite. - Explainable AI - Lime,Shap,Eli5,what-if etc. - GAN (Dc-GAN, Style GAN, vanilla gan) - RFM analysis, Error analysis, survival analysis and customer lifetime value. - Anomaly fraud detection technique: Isolation forest, local outlier factor and one class svm , balanced random classifier. Email: [email protected].