Swapnil Kangralkar

Background

About Swapnil Kangralkar

Data scientist by nature, I thrive at the intersection of data-driven innovation and strategic leadership. With over a decade of experience, I've led high-impact initiatives—from enhancing demand forecasting, developing scalable and robust ML solutions, optimizing dynamic pricing frameworks, to leveraging Generative AI for streamlined operations. My expertise spans machine learning, predictive analytics, and cloud solutions, backed by certifications like PMP and Microsoft Azure Data Scientist. I’m passionate about turning complex data into actionable insights, empowering teams, and driving organizational growth. ML Competencies: Data mining, feature engineering, A/B testing, Machine Learning - Regression, classification, clustering, time series forecasting with Prophet, recommendation engine, anomaly detection, hyper parameter tuning, data visualization and reporting, Natural Language Processing with NLTK and Transformers. Stack: XG Boost, SVMs, PCA, K-Means Clustering, Prophet, Random Forest. Deep Learning Competencies: Image Classification, Image Segmentation, Object Identification, Text Classification, Text Summarization, Sentiment Analysis, Named Entity Recognition, Model compression using Knowledge Distillation. Stack: CNN, RNN, LSTM, Deep Reinforcement Learning, GPTs Project Management Competencies: ML Project Planning, Estimation, Agile, Time Estimation Skills and Technologies Databases: Teradata, Oracle, MySQL, Neo4j, MongoDB Cloud: Microsoft Azure, Amazon Web Services (AWS), Palantir Project Management and Issue Tracking: Jira, Gitlab, Confluence Data Visualization: Tableau, PowerBI, Palantir Workshop Data Mining with Numpy, Scipy, and Pandas • Simulations • Dynamic Pricing • Route Optimization • Q-Learning • Statistical Data Analysis • Predictive Analytics with scikit-learn, Tensorflow and Keras • MLOps • Databricks •Pyspark • Docker • Large Language Models (LLM) • Generative AI • Langchain