I'm
Ayushmaan Das
A Machine Learner, Data Scientist & Python Developer
A Machine Learner, Data Scientist & Python Developer
Scraping data from web, storage of data in propere format. Knowledge of both RDBMS and NRDBMS. Profficient Data Analysis tools like Tableau and Power BI. Integrating databases using APIs.
Building models from scratch from dataset preparation to model training and testin. Natural Language Processing (NLP), working with Deep Learning models, Fine-Tuning existing models
Primary knowledge of deveoping web applications using Python web frameworks like Flask and Fast API. Knowledge of ML oriented frameworks like Gradio and Streamlit.
An aspiring Python Devleoper, specialized in the field of Artificial Intelligence and Machine Learning. Having an additional expertise in integrating ML Models results with Cloud based Databases and integrating all the same into a web application. Currently in the third year of pursuing a Bachelor's degree in Computer Science, having a specialization in AI and ML.
Having simultaneous experience of working and studying, thus gaining knowledge across various fields and implementing the harnessed skills. Have an excellent track record in academics and receipent of multiple awards and accolades.
Passed tenth standard from Good Shephered School, Siliguri with a score of 95.8%
Pass twelfth standard from BSF Senior Secondary Residential School, Siliguri with a score of 89.6%
B.Tech CSE (AI and ML) [3rd year] from Sri Ramachandra Faculty of Engineering and Technology, SRIHER, Chennai
Recognizing essential entities like name, emails, skills, roles, education, etc. from applicant resumes using a custom trained SpaCy model, and storing them into a cloud database. Providing applicant querying features to filter out applicants according to requirements like skills, or years of experience, etc.
Solving the issues of vehicular traffic data management within campuses or any enclosed area. The Flask Web Application has the features to detect vehicular number plates from Images or Videos using TensorFlow's Object Detection Model. The detected data is stored in Google Sheets with the timestammp. There is a PowerBI dashboard that visualizes the fetched data.
The Machine-Learning project comprises of a web-application that enables the users to fetch traffic-related tweets from Twitter API. The tweets can be downloaded and multiple algorithms have been used to increase the efficiency and versatility. Traffic related tweets are classifies using various algorithms.
Visualizing various statistics from the Premier League 2021-22 season, from individual player data to overall team statistics. The graphs are responsives with various filters, which applies across the dashboard. In addition to this, there is also a player search feature to extract player stats from database. This is a Flask Web Application.
A Streamlit Application that detects most common human activities from Pre-Recorded Videos or Live Camera Feed. This web-application was designed within a small period of time, and hence pre-trained ONNX was used for the detection.
Worked developing a Natural Language Processing (NLP) project under college faculty. The project has been publised as a Research Paper, with the pipeline patented.
Worked as a Python Developer and dealt with topics like Machine Learning, Model Building, NLP, Web Scrapping, Text Classification and Project Management.
