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Data Engineering

Austin, TX
January 14, 2020

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Srijani Mukherjee 832-***-**** EDUCATION

University of Houston, Houston, TX Dec 2019

Masters Student in Geo-sensing Systems Engineering and Sciences

• Focus: Statistical Analysis for Geo-Spatial Data Master of Science in Electrical Engineering May 2017

• Thesis: Structure tensor visualization using tractography for large scale datasets West Bengal University of Technology, Kolkata, West Bengal, India June 2013 Bachelor of Science in Electronics and Communications Engineering CERTIFICATION

1) Visual perception and localization for self-driving cars (University of Toronto) WORK EXPERIENCE

Senior Remote Sensing Data Scientist July 2019 – Present Third Insight Inc., Austin, TX

Leading and managing (Atlassian JIRA) cutting-edge project on data analysis using Geospatial data and Machine learning algorithms (Python), writing test scripts for sensors, data collection etc. Researcher August 2017 – May 2019

National Center for Airborne Laser Mapping, University of Houston

• Airborne Lidar Data Processing, SLAM, Performing Geo-statistical computation on remotely sensed Data, GPS, IMU, Seismic Data Processing, Optical Imaging, InSAR data processing (interferogram, intensity map). Graduate Researcher May 2015 – May 2017

Scalable Tissue Imaging and Modelling Laboratory, University of Houston

• Digital signal Processing, Image Processing and Tractography Graduate Researcher August 2014 – January 2015

Networks Systems Laboratory, University of Houston

• Building wireless acoustic sensor nodes using Raspberry Pi and other hardware Programmer Analyst September 2013 – July 2014

Cognizant Technology Solutions, Hyderabad, India

• Developing and Enhancement of the entire system for a U.S. based Bank TECHNICAL SKILLS

• Programming: Python (Matplotlib, NumPy, Scikit-learn, TensorFlow, Pandas, GeoPandas, GDAL), C++ (OpenCV, PCL, MLpack), MATLAB (Signal processing and image processing toolbox), Java, C

• Database: MySQL, Oracle

• Software: ArcGIS, ENVI, MicroStation, QGIS, Cloud Compare, LabVIEW, ESRI, Android Development Studio, JIRA

• Machine Learning: Regression (Linear), CNN, Deep learning, KNN, Naïve Bayes, SVM, Decision tree etc.

• Quantitative Research: Markov Decision Model, Monte Carlo Simulation, Kalman Filters (EKF & KF), particle filter

• Mathematical Skills: Numerical Optimization, Geo-Statistics, Hypothesis Testing

• Oil and Gas skills: Seismic data processing (ECHOS), Flow Assurance (PipeSIM) PUBLICATIONS

• Mukherjee S and Mayerich D, “Structure tensor visualization using tractography for large scale datasets,” Graduate Research Conference at University of Houston, May 2017

• S. Mukherjee, K. Dolui, S.K. Datta, Patient Health Management System using e-Health Monitoring Architecture, in 2014 IEEE International Advanced Computing Conference (IACC 2014)

• S. Mukherjee, K. Dolui, S.K. Datta, Intelligent Management of Misbehaving Nodes in Wireless Sensor Networks in 2013 IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS 2013)

• K. Dolui, S. Mukherjee, S.K. Datta, Traffic Status Monitoring Using Smart Devices, IEEE Conference on Intelligent Interactive Systems and Assistive Technologies 2013

• K. Dolui, S. Mukherjee, S.K. Datta, Smart Device Sensing Architectures & Applications, The 2013 International Computer Science and Engineering Conference

• S. Mukherjee, K. Dolui, S.K. Datta, Mobile Application Distribution through VANET, in Eighth International Conference on Wireless Communication and Sensor Networks (WCSN-2012)

• K. Dolui, S. Mukherjee, S.K. Datta, ReTiHA: Real Time Health Advice and Action using Smart Devices, in 2014 IEEE International Advanced Computing Conference


Graduate Research Fellowship (UH), Vice President & Public Relations Officer, Graduate Indian Student Organization, Member of IEEE, National Award in Elocution competition, Organizer of various technical events

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