Ramesh Krishna
Toronto,Canada
Summary
Experienced with developing and deploying machine learning algorithms that drive business insights. Utilizes statistical analysis and data mining techniques to enhance model accuracy and performance. Track record of integrating machine learning solutions into production environments, ensuring scalability and reliability.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Sr. Machine Learning Engineer
Scotiabank
01.2021 - Current
- Developed data annotation strategy for training and evaluating the models from end-end
- Trained custom tesseract models to extract text from technical drawings
- Improved accuracy by 15% of OCR engine by training custom tesseract model
- Developed end-end pipeline from model training to model deployment
- Ported Python code to Scala for scalability.
- Implemented core algorithms for document pre-processing with OpenCV
- Working in tensorflow deep learning applications
- Implemented a computer vision OCR algorithm in OpenCV, Tesseract and EasyOCR to extract the letters and digits
- Built prototype with a graphical user interface (GUI) for computer vision applications using Streamlit
- Working in Python, numba and GPU parallel computing to optimize code in real time
- Working with containers like Docker & Kubernetes for the deployment phase
- Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
- Prototyped machine learning applications and quickly determined application viability.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
Machine Learning Engineer
CanAtom Power Group
01.2021 - 08.2021
- Worked on predictive analysis by surfacing the right data and providing actionable recommendations to quantify the impact
- Developed robust Exploratory Data Analysis machine learning pipeline for hyper-parameter optimization
- Reduced Data loading time into memory by utilizing Dask DataFrame
- Created Interactive visualizations with Plotly, Seaborn and PowerBI
- Performed Feature engineering for model training
- Worked on Statistical models and ML Models for forecasting
- Developed Forecasting models with FBProphet and ARIMA models
- Built Classification models (XGboost, Catboost, K Nearest Neighbour, AdaBoost, lightBGM)
- Implemented model debugging pipeline by utilizing Microsoft's InterpretML, Shap and What-if tools
- Implemented LSTM and RNN based deep neural networks for forecasting in Tensorflow
Machine Learning Engineer
Citi
01.2016 - 01.2021
- Worked on predictive analysis by surfacing the right data and providing actionable recommendations to quantify the impact
- Developed robust Exploratory Data Analysis machine learning pipeline for hyper-parameter optimization
- Reduced Data loading time into memory by utilizing Dask DataFrame
- Created Interactive visualizations with Plotly, Seaborn and PowerBI
- Performed Feature engineering for model training
- Worked on Statistical models and ML Models for forecasting
- Developed Forecasting models with FBProphet and ARIMA models
- Built Classification models (XGboost, Catboost, K Nearest Neighbour, AdaBoost, lightBGM)
- Implemented model debugging pipeline by utilizing Microsoft's InterpretML, Shap and What-if tools
- Implemented LSTM and RNN based deep neural networks for forecasting in Tensorflow
- Transformed raw data to conform to assumptions of machine learning algorithm.
- Studied new technologies to support machine learning applications.
- Researched, designed and implemented machine learning applications to solve business problems affecting millions of users.
Education
Post Graduation - Artificial Intelligence Analysis, Design and Implementation
Durham College
04.2021
Post Graduation - Cybersecurity
Durham College
09.2020
Bachelor of Technology (B.Tech.) - Computer Science Engineering
ACE Engineering College
Hyderabad, Telangana01.2016
Skills
- Machine Learning
- Python (Programming Language)
- Java / Scala
- C
- Data Science
- Programming
- Code debugging
- Web application development
- Data serialization
- Apache Spark expertise
- Streaming data processing
- RESTful APIs
Certification
- Neural Networks and Deep Learning
- Structuring Machine Learning
Languages
English
Full Professional
Hindi
Full Professional
Telugu
Native or Bilingual
Awards
- President's Honour Roll
- Shortlisted for Google Startup Launch
Projects
Convolutional Neural Networks Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Deep Learning Specialization
Timeline
Sr. Machine Learning Engineer
Scotiabank
01.2021 - Current
Machine Learning Engineer
CanAtom Power Group
01.2021 - 08.2021
Machine Learning Engineer
Citi
01.2016 - 01.2021
Post Graduation - Cybersecurity
Durham College
Bachelor of Technology (B.Tech.) - Computer Science Engineering
ACE Engineering College
- Neural Networks and Deep Learning
- Structuring Machine Learning
Post Graduation - Artificial Intelligence Analysis, Design and Implementation
Durham College
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