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9 years of industry experience with 2 years of experience, meticulous & result oriented as Data Scientist armed with a proven track record of analytical acumen in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights using ML algorithms and Computer Vision
9 years of industry experience with 3 + years of experience, meticulous & result oriented as a Data Scientist armed with a proven track record of analytical acumen in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights using ML algorithms and Computer Vision. Working experience & extensive knowledge in Python & Pyspark with Python libraries such as Sklearn, TensorFlow, Numpy, Pandas, Matplotlib, and Seaborn, using Deep Learning skills to successfully deliver Automation projects.
Pyspark for Big data ML models with library MLlib. Transactional tools like - Visual Studio, Jupyter notebook, and PyCharm.
IT Madras, Advanced Certification in MachineLearning and Cloud
WS Cloud: EC2 |RDS |S3 Bucket | SageMaker | EMR Cluster| Lambda |Deployment Programming: Python & Spark for Data Science | Databases: MySql | Hive | Machine Learning: Linear Regression Logistic Regression | Decision Trees |Random Forest Trees| Principal Component Analysis + Linear Algebra| Clustering|Inferential Statistics |Hypothesis Testing· Deep Learning: Introduction to Neural Nets with TensorFlow |Convolution Neural Networks | Recurrent Neural Networks NLP with Deep Learning: Natural Language Processing Fundamentals | Case Study on applications of Deep Learning in NLP | Case Study on Computer Vision | Deployment· ObJect Deduction: Fast R-CNN | Region-based Convolutional Neural Networks (R-CNN) | Single Shot Detector (SSD) | YOLO (You Only Look Once) Inferential Statistics and Hypothesis Testing: Inferential Statistics |Hypothesis Testing·
