Data science professional in developing machine learning, Deep learning Models with overall 1.5+ years of real time experience in Data Science technology and Well-informed on the latest Machine learning (ML) advancements, Deep learning (DL) and NLP.• Worked in-and-out on Data-driven technologies and obtained in-depth knowledge throughout my career.• Made myself strong in analytical and problem-solving skills in real-world by working as a Data scientist for Healthcare, Banking Insurance, Markets domains which made me strong in analytical and problem-solving skills in the real world.• Some of the projects like Time Series Forecasting, Stroke Prediction, Insurance Prediction, Twitter sentiment analysis, Real Time Face detection ,Potato Disease With Deployed and Anomaly detection with live data.• Ability to quickly master the new technology in response to the new requirements.• Worked on predictive modeling and Deep Learning techniques and delivered intelligent models.• Worked with Google Cloud Platforms.TECHNICAL SKILLS :•Analytical Tools: Python, SQL, MS Excel, MySQL.•Machine Learning Algorithms: Supervised and Unsupervised Learning, Linear, logistic Regression, KNN, ANNs, Support Vector Machines, Ensemble techniques like Bagging, Boosting, Stacking, Random Forests.•Optimization techniques like Gradient Boosting, Adam, Adagrad.•Dimensionality reduction techniques like Principal Components Analysis.•Deep Learning Algorithms: CNN, Faster RCNN, Mask RCNN, RNN, LSTM.•NLP techniques like Avg W2Vec, Bag of words, TFIDF, n-grams.•ML Libraries: Tensorflow, scikit learn, pandas, matplotlib, Seaborn, PyTorch, nltk, spacy etc.