Gaurav D.

As an accomplished Sr. Python, Data Scientist, ML,AI, I bring a wealth of hands-on experience in harnessing the power of data to drive strategic decisions and add substantial value to organizations. With a passion for transforming raw data into actionable insights, I excel in data analysis, visualization, and predictive analytics. My proficiency spans a wide range of tools and techniques, including Excel, R, Python, Tableau, machine learning, and deep learning Expereinced with LLMs. I have good hand on experience with different types large language models such as Zero-shot model, Fine-tuned or domain-specific models, Language representation model, Multimodal model My expertise in statistical analysis, multivariate testing, and text analysis empowers me to extract meaningful patterns from complex datasets. I've successfully built and interpreted various machine learning models, from Logistic Regression and Naive Bayes to Random Forests and Deep Neural Networks, delivering tangible results on real business data My commitment to innovation, strong work ethic, and effective communication skills make me a valuable asset for any organization. I am highly motivated to leverage my skills and diligence to drive data-driven decision-making, fuel growth, and achieve organizational objectives. If you're seeking a Python, Data Scientist, ML,AI who combines technical prowess with a passion for data-driven problem-solving, I'm here to help your organization thrive For the last 6+ years, I have been providing the following services: ✅ My services include: Python/Django Development AI/ML Development Data cleaning, analysis, and visualization Supervised learning (Classification / Regression) Time series analysis OpenAI,GPT3,4 NLP specialist Natural Language Processing (NLP) Computer Vision (CV) Python Selenium ,Scrapy for web scraping MEAN/MERN Development ✅ I am proficient in implementing Machine Learning Algorithms such as: Linear/Logistic Regression K-Nearest Neighbours (kNN) | Decision Trees | Support Vector Machine (SVM) Ensemble methods (Random Forest, XGBoost, CatBoost, AdaBoost, LightGBM, etc) Neural Network (ANN, RNN, CNN, DNN, etc) Transformers ✅ I use a variety of powerful tools, such as: Python,Django, Matplotlib, Seaborn, Pandas, Numpy, and Dask for data analysis and visualization SpaCy, Gensim, HuggingFaces, and NLTK for NLP tasks Scikit-Learn, Tensorflow, and Keras for implementing Machine Learning models Docker for containerization Let's meet and work together as a team