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Shubhmay Potdar

Manager - Data Science at Aera Technology

Shubhmay Potdar is an accomplished Data Scientist with a robust skill set in Machine Learning, Deep Learning, Big Data Analysis, and Data Engineering.

His technical expertise encompasses tools such as Python, R, Scala, Apache Spark, PyTorch, Scikit-Learn, Pandas, and Java.

Shubhmay has a proven track record in developing regression and prediction models using diverse machine learning algorithms such as GLM, SVM, Random Forest, GBM, and XGBoost.

He has specialized experience in Sensor data analysis, focusing on spike and drop detection, frequency change detection, and state change detection using Deep learning techniques.

In the realm of Time Series forecasting, Shubhmay excels in utilizing methods like ARIMA, Prophet, and LSTM for accurate predictions.

His proficiency extends to cluster analysis, where he demonstrates adeptness in K-means and HDBScan algorithms, as well as dimensionality reduction techniques like PCA, SVD, and AutoEncoders.

Furthermore, he is skilled in leveraging visualization libraries such as Matplotlib and Seaborn to communicate insights effectively and is adept at handling highly skewed and imbalanced datasets.

Shubhmay Potdar holds a Bachelor of Engineering (B.E.) in Computer Engineering from Vishwakarma Institute of Technology, Pune, and has pursued an Online Master of Science (MS) in Computer Science specializing in Machine Learning from the Georgia Institute of Technology.

He currently serves as the Manager of Data Science at Aera Technology, having previously held the position of Senior Data Scientist within the same organization.

Prior to this, Shubhmay's professional journey includes roles as Assistant Vice President - Data Scientist at Barclays Investment Bank, Senior Software Engineer, and Software Engineer at eQ Technologic, as well as a Software Trainee at Persistent Systems.

Shubhmay Potdar
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Location

Pune, Maharashtra, India