Jun 2019 – Aug 2022 · 3 yrs 2 mos · Bengaluru, Karnataka · On-site

• 1. Big Data Analytics Platform
• Analysis of AWS tools to provide backend data management support - Redshift, Athena, S3
• Analysis of data visualisation tools - Tableau, Superset
• Complete data workflow and management.
• 2. Data analytics projects using Scala and Spark
• Data preparation, interpolation, feature creation, anomaly removal
• Verification of parameters and trend analysis
• Visualisation and insight generation after a deep analysis of multiple extrapolated features.
• 3. Developed a ML based recommendation system for a smart appliance to be deployed On Device
• Researched different ML, DL algorithms to implement use case.
• Data preparation, feature engineering, verification of features, hyper-parameter tuning of the model.
• Model creation, evaluation and result comparison.
• Memory and processor profiling for the model in order to deploy it on device with similar accuracy.

Aug 2018 – May 2019 · 9 mos · Delhi, India

• Worked on “Video Steganography using Convolutional Neural Network” under professor M.P.S Bhatia.
• Developed a temporal residual modeling technique, utilizing the sparse property of inter-frame differences, separately treating reference and residual frames during generating steganographic videos. • The model outperformed the LSB (Least Significant Bit) model in terms of the Average pixel-wise discrepancy score.
• Created a GUI application to demonstrate the video transformation processes using Tkinter.

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

• 5G Networks (05/2018 – 07/2018)
• Worked with the 5G network team under supervision of Tushar Sood and developed an application (configuration data management system) for data retrieval optimisation , driven by a data modelling language.
• Received a letter of recommendation from the Director, Network department for exceptional performance.

May 2017 – Jul 2017 · 2 mos · Zurich, Switzerland

• Worked in the Service Prototype Lab as part of the research group of Dr. Piyush Harsh.
• Researched different steganography algorithms and conceptualized the complete framework to implement steganography using audio in a remote monitoring system.
• Developed a java based application to illustrate the process and results having lesser values of MSE(Mean Squared Error), RMSE(Root Mean Squared Error), percentage of bytes changed for embedding audio message as secret in comparison to LSB encoding method.

Jun 2016 – Jul 2016 · 1 mo · New Delhi Area, India

• Android app Developement
• Developed a android application - "Buy It All" to enhance user experience of ordering items from nearby local vendors.