Keywords
Machine Learning
Python (Programming Language)
Deep Learning
HTML
Algorithms
Computer Vision
Cascading Style Sheets (CSS)
Data Mining
Experimentation
Natural Language Processing
Skills
Skills - Machine learning, Deep Learning, Python, Pyspark, SQL, Data Mining, Object-Oriented Python, NLP, Computer Vision, OpenCV, Dataiku, PowerBI, HTML, CSS.
Work Experience:
Machine Learning Engineer at Teknuance Info Solutions - (09/2018 - Present)
Task:
Work Experience:
Machine Learning Engineer at Teknuance Info Solutions - (09/2018 - Present)
Task:
- Designing and developing machine learning and deep learning systems
- Running machine learning tests and experiments.
- Implementing appropriate ML algorithms.
Project history
Current Job - Working at Teknuance Info Solution as Machine Learning Engineer.
Projects:
Projects:
- CatvsDog Classifier (08/2018 – 08/2018) : Created a CatvsDog classifier using Convolution Neural Network that classify cats and dogs with an accuracy of 90%.
- Analysis of Titanic dataset (03/2019 – 03/2019) : Participated in Kaggle on-going competition on Titanic to analyse and predict the chances of survival of passengers onboard. Current rank - 287
- Topic Modelling (09/2018 – 09/2018) : Implemented a model know as Topic Modelling using Latent Dirichlet Allocation (LDA) that could label the topic with an accuracy of about 60%.
- Facial Recognition System (07/2018 – 07/2018) : Developed a Facial Recognition System using OpenCv and Python. Haarcascade classifier was used for detecting the face and Local Binary Pattern Histogram (LBPH) recogniser was used to match and identify the input image.
Local Availability
Only available in these countries:
India