I am a dedicated and results-oriented data science professional with a strong background in data analytics, machine learning, and statistical analysis. With a Master's degree in Data Science from the University of New Haven and a Bachelor's degree in Computer Engineering, I possess a solid foundation in both theoretical concepts and practical applications. I have about 3 years of experience as a Data Analyst in the domain of US healthcare data and 2 years of academic experience as a Chief Data Scientist at the University of New Haven. Proficient in Big Data analysis with tools like Scala/Spark, Python, and Cloud AI/ML, I excel in reasoning, problem- solving, and providing valuable consulting insights. Proficient in SQL, R, Python, Artificial Intelligence, and advanced machine learning techniques, I am eager to bring my data-driven approach and industry knowledge to the team.
Language : PL/SQL, Python, HTML, CSS, SQL, Advanced SQL, Oracle, WordPress, Android, git
Libraries : NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, Pandas, Pytorch, PyMC3, Tensorflow
Database Management System : RDBMS and No-SQL (Cassandra, MongoDB)
Tools/Utilities : MicroStrategy, Oracle Data Integrator, SQL Tool, SQL Developer, PowerBI, Tableau, SPSS, Jupyter Notebook, AWS, Jira, Confluence
Microsoft Office packages: Word, Excel, and PowerPoint
This paper describes the process of fine-tuning the DenseASPP model for semantic image segmentation with three classes, roads, trees, and buildings, and creating a mini network of DenseASPP for semantic segmentation of images around the University of New Haven.
This is a Discord bot that provides personalized recipe recommendations and nutritional information as per user's request.
This is an interactive dashboard that allows you to analyze data science job opportunities in the US,
predict salaries based on industry, company type, location, and skills, and
predict employee retention at different companies based on various features.
This discord chatbot recommends products from the Flipkart database based on visual similarity. A convolutional autoencoder model, K-means clustering, KNN algorithm, and VGG16 model have been used in this project.
Content Moderator is an AI project that detects abusive text, webpage, and audio and moderates it to some extent so that we can have a safe internet experience.
We have analyzed the data of Walmart stores to predict future sales based on the features Holiday Flag, Temperature, Fuel Price, Customer Price Index, Unemployment, Month, Day, and Store number given by users.
My Health is an android health application that analyzes the data of patients from almost all the places of Nepal, and according to the location/address informs the users about the most probable disease that they are likely to suffer from and predicts the disease of users based on their symptoms. Health news and daily health tips are also embedded in this application. It also shows the nearby hospitals from the user's location.
It is built in android and the backend is python.
This is pl/sql project to demonstrate all the tables and result of an international cricket game Indian Premier League (IPL). All the tables and results that are
displayed in the real game are displayed in this project inclusing points table, Net run rate table, Head-to-head table and
Batting and Bowling table.