Data Scientist | Data Analyst | Software Engineer | AWS AI/ML Scholar '23
Hi, I’m Om Prakash, an aspiring Data Analyst, Data Scientist and Software Engineer pursuing a Bachelor’s degree in Computer Applications (BCA) at Amity University Patna. I have experience with Python, MySQL, Tableau, Power BI, and Data Visualization, along with practical knowledge in cloud technologies and machine learning.As an AWS AI/ML Scholar 2023, I aim to apply my technical skills to analyze data, uncover insights, and develop solutions that address real-world challenges.I am actively seeking challenging opportunities to apply my technical skills and solve real-world problems through data analysis and machine learning techniques.
Python
C++
Java
SQL
R
Tableau
MS Excel
Power BI
PyTorch
AWS
Git
Docker
NumPy
Pandas
Scikit-learn
TensorFlow
Streamlit
Seaborn
VS Code
Jupyter Notebook
Google Collab
Fedora Linux
BCA in Computer Science
Amity University Patna | Sept 2022 – Present
Intermediate (Science)
Rasbihari +2 High School | May 2020 – May 2022
Matriculation
RDH High School Rajgir | Apr 2018 – Apr 2020
Frontend Web Developer Intern
Virito Digital Solutions Pvt Ltd | July 2024 – August 2024
Data Science Intern
Oasis Infobyte | July 2023 – August 2023
Data Science Intern
Pragytmika | June 2023 – July 2023
Data Science Intern
CETPA Infotech Pvt Ltd | Dec 2023 – Jan 2024
Developed a logistic regression model for heart disease prediction using real-world healthcare data. Deployed the model via Streamlit for real-time predictions and easy access.
Created a Python-based inventory management system that allows users to manage products, track sales, apply discounts, and monitor stock levels. This system simplifies inventory tracking for businesses.
Built a machine learning model using the Iris dataset to classify flowers based on features such as petal and sepal length/width. The model uses various classification algorithms for comparison.
Developed a machine learning model to identify and classify email messages as spam or not. This model leverages natural language processing (NLP) techniques for efficient email filtering.
Developed a voice-controlled assistant using Python and its libraries (such as SpeechRecognition and pyttsx3). This assistant can perform tasks like opening applications and searching the web via voice commands.
Developed "Munim", a full-fledged expense tracking web application featuring a user-friendly dashboard, analytics, data visualization, budget management, and saving goals. Focused on intuitive design and seamless user experience.
User: admin Password: Password
View ProjectCreated an interactive data analysis dashboard using Python and Plotly. This dashboard allows users to visualize and analyze large datasets, providing insights through dynamic charts and graphs.
Created a machine learning model to analyze unemployment trends and predict future employment status based on historical data. This project helps identify key factors influencing unemployment rates.