About

Gangadhar Agre is an Associate Solution Leader in Data Science at Brane Enterprises Pvt Ltd. He is a self-motivated and passionate individual who is always eager to learn about the latest global technology trends. He has extensive experience in machine learning, data science, deep learning, computer vision, and AI and is proficient in data analysis, data visualization, feature engineering, and building and deploying machine learning models. Gangadhar believes that trending technologies like machine learning, data science, deep learning, computer vision, and NLP can solve many business problems. He has worked on architecting ML-driven solutions in products/platforms and has successfully deployed them in production. His experience and research in ML/DL/NLP/Computer Vision models include Linear regression, Polynomial Regression, Logistic regression, Decision Tree, Random Forest, Support Vector Machine (SVM), K Nearest Neighbors (KNN), K-means, AdaBoost, XGBoost, Neural Networks, Deep Neural Network, (recurrent neural network) RNN, (convolutional neural network) CNN, LSTM, GRU, Transformers, GRU, LSTM, Seq2Seq, Transformers, and Probability-based models. Gangadhar is proficient in using TensorFlow, PyTorch, Keras, Spark core (Pyspark), GCP AI ML API, and Bigdata tools and technology. He uses Python (Jupyter notebook), Google Colab, R Shiny, Vscode, and PyCharm for most of his work. He uses Git for maintaining code versions and GCP/AWS GPU when there is a need for high computing power. Gangadhar is skilled in Python, SQL, R statistical programming for data analysis, data visualization, and statistical analysis. He uses NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SciPy for data cleaning, processing, visualization, and model building. He has also worked with big data Hive, Hadoop for data storage and querying, and Spark for distributed computing. Gangadhar has experience in creating Power/BI and Tableau dashboards and excel for smart chart visualization. He uses Flask, Django, and FastAPI for APIs for model serving/inference. He has working experience in Core Java, Node, Express, Reactjs, Angular, HTML, CSS, and databases like PostgreSQL, MongoDB, Big Query, Neo4j. In addition to his technical skills, Gangadhar