Sparsh Garg Email & Phone Number

San Jose, California, United States

San Jose, California

Santa Clara, California

1. Developed an deep neural network model using distributed tensorflow to detect anomalies in silicon wafer production. • Trained and deployed the model over multiple GPUs on NVIDIA-DGX using Docker and Singularity Containers to decrease the training time by 4x and inference time by 6x. • Developed an interactive web-app using Bokeh server and bokeh charts for customer use. 2. Developed a machine learning model by integrating a Gaussian Process Model and Random Forest Algorithm to predict outcomes in seconds and reduced 8+ hours of processing time. 3. Integrating Markov Chain Monte Carlo (MCMC) to anomaly detection to achieve improved insight compared to auto-encoder model towards boosting production rate and quality. Platform: Python 3.6Frameworks: Tensorflow, Keras, Pandas, SqlAlchemy, Bokeh

Santa Clara,California

1. Explored bagging and boosting ensemble techniques to predict the GDP of global countries by considering various social and economic factors from the world bank. • Used XGBoost Algorithm to create the model which showed improved accuracy. • Developed interactive charts with plotly and ipywidgets to increase the usability on jupyter notebook for prototype.2. Worked on time series forecasting to predict the GDP growth of various countries over the years by using SARIMA and Holts Winter forecasting.

Bengaluru Area, India

• Developed a reconciliation tool to sync the primary and secondary storage servers in Python and MySQL to automate the synchronization between the servers efficiently. • .Developed a tool for Deutsche bank to generate the gap report which returns the sequence of missing mails for a particular time period in Java and MySQL which makes Deutsche bank to continue the contract for the next term. • Modified existing software to correct errors, upgrade interfaces and improve performance.

Bengaluru Area, India

My responsibilities was to create test cases using Java and SOAP APIs based on testNG framework which is useful for end-end testing.

Master Of Science - Ms, Computer Science And Engineering

Taken courses related to Data Science since starting as follows: - Data Mining where got a chance to learn about Frequent Itemsets.

Bachelor Of Technology - Btech, Electronics And Communications Engineering