5 years experienced Machine Learning Engineer with proven success in building successful algorithms and predictive models for different industries. Adept at end to end pipeline design & development including ​ data gathering, data cleaning and pre-processing, data analysis and visualization, model training, model deployment, and testing. ​ Handle various projects in different domains. A passionate and thriving engineer with the ability to apply ML techniques and algorithm development to solve real-world industry problems and provide cutting-edge solutions. AREA OF EXPERTISE • Classification and Regression • Natural Language Processing • Machine Learning Algorithms • Image Classification, Segmentation and Detection • Data Mining • Time Series Analysis • ​ Statistical Analysis • Clustering • Computer Vision • Deep Learning • Data Analysis and Visualization • Web scraping • Recommendation System • ​ Predictive Analysis TECHNICAL SKILLS Tools • Python, R • C/C++ • Java, JavaScript • Hadoop, Spark, SQL • Linux, REST • Jupyter Notebook • MySQL Packages • SciKit-Learn • NumPy, SciPy, Pandas • Matplotlib, Seaborn, Plotly • NLTK, Beautiful Soup, Statsmodel • Keras, TensorFlow, PyTorch • OpenCV, Tesseract • Flask Statistics/Machine Learning • Linear/Logistic Regression, SVM • Naïve Bayes, KNN, Decision Tree • Ensemble Models, XgBoost, GBDT • DNN, CNN, LSTM/RNN, GAN • Transformers, Auto-encoder • KMeans, DBSCAN, Hierarchical • YOLO, SSD, ARIMA, Prophet SOFT SKILLS • Critical Thinking, Problem Solving • Team Player • Communication • Storytelling • Eager to learn • Business understanding • Adaptability • Curiosity