Murugesh MANTHIRAMOORTHI
Spatial Data Scientist
With the world getting filled with digital natives and society becoming more data-driven, an equal ratio of business understanding, programming, and statistics are required. Coming from the core engineering field, starting a career in the IT sector, and completing a master's in a techno-management program, I have developed a hybrid profile to work. With the plethora of Data talents available, I stand out with my versatile nature and a bunch of real-time projects. Over time, I learned that a person's efficiency depends on how effectively he/she manages available time. Keeping this in mind, I always utilize my time productively balanced between personal and professional attires.
Key Skills:
- Geospatial Analysis
- Satellite Imagery
- Artificial Intelligence
- Business Intelligence
- Machine Learning
- Natural Language Processing
- Digital Transformation
- Data-driven business
- Marketing Analytics
- Database Management
- Deep Learning
- Digital Innovation
- Computer Vision
- Natural Language Understanding
- Model Deployment
- Cloud Computing
- Recommendation System
- Speech Recognition
- Speech Synthesis
- Generative Adversarial Networks
- Data-driven Decision Making
- Leadership
- Team Management
Coding Skills:
- Programming Languages
-
- Python, R, , Julia, C, Matlab, JavaScript, Solidity
- Low-code Machine Learning Platform
-
- Dataiku DSS, SAS Viya
- Big Data Management
-
- Apache Spark, Hadoop
- Deep Learning Frameworks
-
- Pytorch, Tensorflow, Keras
- Web Deployment Frameworks
-
- Flask, Rshiny, Dash, Streamlit
- Data Vizualization and Business Intelligence
-
- Tableau Desktop, Power BI, MS Excel
- Version Control
-
- Github, Bitbucket
- Container Management System
-
- Docker, Kubernetes
- Cloud Technologies
-
- GCP, Digital Ocean, Heroku
- Database Management Systems
-
- MySQL, PostgreSQL, SQL Server
- NoSQL Database Management Systems
-
- MongoDB, Neo4j
- Operating Platforms
-
- Linux Mint, Ubuntu, Windows 7, Windows 8.1, Windows 10
- Low-code Application Development
-
- SAP Build
Check out my blogs here:
- Une petite pause à Chennai avec Murugesh
- My experience of Data Science Masters program in France
- Top 5 traps for every newcomer in Data Science
- Why should you choose France?
- How to organize a python function?
- How to shift from windows to Linux
- NLP with Latent Semantic Analysis
- Summarizing OpenMined Research Presentations: 25 July 2020
- Understanding Neural Networks Through Deep Visualization by Jason Yosinski
- Explaining and Harnessing Adversarial examples by Ian Goodfellow
- One Pixel Attack for Fooling Deep Neural Networks
- Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
- Simplifying "Intriguing properties of neural networks"
- Simplifying "Gaussian LDA for Topic Models with Word Embeddings"
- Pachinko Allocation Model (PAM)
- Topic Modeling using Non Negative Matrix Factorization (NMF)
- Topic Modelling Techniques in NLP
- Demystifying Voting Classifier
