About Me
Interested in Data Science, Statistics, Machine Learning, and Deep Learning. Proficient in ML algorithms ranging from Linear, Logistic Regression, SVMs, KNN to Neural Networks, LSTMs and RNNs.
Skills:
• Deep Learning, Data Science
...
• Deep Learning, Data Science
• Languages: Python, C, C++, C#, MATLAB
• ML Toolbox: TensorFlow, Keras, Scikit-learn
• NumPy, Pandas, MongoDB, Flask, RestAPI
• Data Visualisation: Tableau, Plotly, Matplotlib
Skills
Programming Language
Others
Data & Analytics
Web Development
Database
Mobile Apps
Development Tools
Software Testing
Positions
Portfolio Projects
Company
Multimedia Recommender System on User’s Medical data:
Role
Machine Learning Engineer
Description
Multimedia Recommender System on User’s Medical data:
Objective is to recommend photos, videos to users suffering from alzheimer’s disease.
Tools
Jupyter Notebook PyCharmCompany
Visualization of Medical data
Role
Data Scientist
Description
• Visualization of Medical data: Converted raw-cancer data-set
into AP format to apply APC (Age-Period-Cohort) model to visualize and get insight of the cancer data set.
• Neural Machine Translation from English to Hindi: Worked on deep learning techniques like LSTM, Bi-directional LSTM
and Encoder-Decoder to translate given English sentences into Hindi.
Tools
Jupyter Notebook PyCharmCompany
Analyst
Role
Analysts (Non programmer role)
Description
• Providing expertise on data cleansing.
• Designed and built statistical analysis models on large datasets.
• Participated in collecting, organizing, and interpreting data along with fellow colleagues.
Skills
PythonTools
Jupyter NotebookCompany
Hotel booking service
Description
• Worked on a end to end project Hotel booking service as C# developer.
• Implemented all the modules, booking rooms, checking the availability of rooms, storing and retrieving of user details
• The whole project was based on MVC and MVVM frame works in C#
Skills
C SharpTools
Visual Studio (Win)Company
ltfs-datascience-finhack-an-online-hackathon
Role
Data Scientist
Description
It was an online Hackathon. The purpose of this analysis is to make up a prediction model where we will be able to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.
Show More Show LessSkills
PythonTools
Jupyter Notebook