I am an Analytics Enthusiast. My Passion is to achieve high career growth through a continuous learning process and keep myself dynamic, visionary, and competitive with the changing scenario of the world. 1.5 years of experience executing data-driven solutions by generating key business insights that can make a significant impact on the organization. Experience with various projects involving NLP, CV, Predictive Modelling, Healthcare Analytics, MLOps, MLFlow,. Effectively able to translate and interpret business needs into technical requirements and data analysis. I am comfortable communicating technical concepts to non-technical audiences. I am a team player with excellent communication and interpersonal skills, thriving in fast-paced and dynamic environments. I am committed to continuous learning and development, staying updated with the latest trends. I am excited about utilizing my skills and experience to make a meaningful impact as a Data Scientist. 𝐒𝐊𝐈𝐋𝐋𝐒 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python (NumPy, Pandas, Scikit-Learn, NLTK, OpenCV) 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬: Regression (Linear and Logistic), Decision trees, SVM, Bagging (Random Forests), Boosting (Gradient boosting, Adaptive boosting, XGBoost), K-means and Hierarchical clustering, Neural Networks, LDA, Guided LDA, Markov models, Deep Learning (CNN, RNN, LSTM, GAN) 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Microsoft SQL Server, MySQL SQLlite 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Power BI, Seaborn, Plotly, Matplotlib, 𝐒𝐨𝐟𝐭 𝐬𝐤𝐢𝐥𝐥𝐬: Problem Solving, Active Learning, Collaboration, and Leadership skills 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Neural Networks and Deep Learning, Structuring Machine Learning projects, Machine Learning, Azure Data Scientist Associate,ITIL Foundation