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Himanshu0221/README.md

Hola πŸ‘‹, I'm Himanshu Tagare

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πŸš€ About Me

πŸ” Exploring AI-driven solutions in LLMs, NLP, and Machine Learning.
πŸ’‘ Passionate about solving real-world problems with AI & automation.
πŸ›  Building intelligent systems using LLMs, AI orchestration frameworks, and advanced analytics.
πŸ“– Continuously learning and experimenting with Agentic AI, RAG-based applications, and multimodal AI.
πŸ’¬ Ask me about AI, NLP, and data-driven solutionsβ€”I'm happy to help!
πŸ“© How to reach me: himanshu_tagare@yahoo.in


πŸ›  Languages, Tools & Skills

⚑ Core Technologies

🐍 Python | SQL | MySQL | Git | Bitbucket | Docker | FastAPI | Flask

πŸ€– Machine Learning & Deep Learning

πŸ“Š ML Algorithms: Regression, Classification, Clustering, Time Series Forecasting, Feature Engineering, EDA
🧠 Deep Learning: ANN, CNN, Transfer Learning, Object Detection
πŸ“œ NLP & LLMs: GPT-4 | Llama | Claude | BERT | NLTK | Spacy | Gensim | TF-IDF | Text Preprocessing

πŸ”₯ Generative AI & Agentic AI

πŸš€ LLM-based AI Apps: Fine-tuning, Prompt Engineering, RAG
πŸ›  Agentic AI & Orchestration: CrewAI | AutoGen | LangChain | LangGraph | OpenDevin | BabyAGI
πŸ“Š AI & Data Analytics: Power BI | Data Visualization | Model Evaluation (BLEU, ROUGE, Perplexity, F1-score)


πŸ“Š GitHub Stats

πŸ”₯ My Contributions

GitHub Streak

πŸ“ˆ My GitHub Stats

Himanshu's GitHub stats

πŸš€ My Top Languages

Top Langs


πŸ† GitHub Trophies

GitHub Trophies


πŸš€ Featured Repositories

Readme Card
Readme Card


πŸ“« Connect with Me

LinkedIn
Email

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  1. Task-1-Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours. Task-1-Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours. Public

    Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours).

    Jupyter Notebook 6 9

  2. California-Housing-Price-Prediction California-Housing-Price-Prediction Public

    Problem Statement : The US Census Bureau has published California Census Data which has 10 types of metrics such as the population, median income, median housing price, and so on for each block gro…

    Jupyter Notebook

  3. Perform_Facial_Recognition_with_Deep_Learning_in_Keras_Using_CNN Perform_Facial_Recognition_with_Deep_Learning_in_Keras_Using_CNN Public

    Jupyter Notebook

  4. Task-2-Iris-Dataset Task-2-Iris-Dataset Public

    Prediction using Unsupervised ML (Task-2 Predict the optimum number of clusters and represent it visually.)

    Jupyter Notebook

  5. Task-3-Exploratory-Data-Analysis---Retail Task-3-Exploratory-Data-Analysis---Retail Public

    Perform β€˜Exploratory Data Analysis’ on dataset β€˜SampleSuperstore’

    Jupyter Notebook

  6. Task-5-Exploratory-Data-Analysis---Sports Task-5-Exploratory-Data-Analysis---Sports Public

    Exploratory Data Analysis (Task-5 Exploratory Data Analysis’ on dataset β€˜Indian Premier League') using Python Created Storyboard.

    Jupyter Notebook