Google Certified Data Analyst | University Gold Medalist| Data Science | Deep Learning | Computer Vision | NLP |
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MGM's Jawaharlal Nehru Engineering College Aurangabad
Data Science
June 13, 2026 – Present
AutoML-Ops-Platform
February 23, 2025 – February 26, 2025
End-to-End Machine Learning Automation with MLOps Integration
View ProjectData-Science-Flask-Projects
February 12, 2025 – February 25, 2025
Data-Science-Flask-Projects — GitHub repository
View Projectseries-communicate-using-markdown-Makorg123
November 8, 2023 – November 8, 2023
series-communicate-using-markdown-Makorg123 created by GitHub Classroom
View ProjectDataScience_Streamlit_Projects
September 17, 2023 – February 14, 2025
Catch a glimpse of my data science journey in this GitHub repository. Explore a variety of data-driven projects, from insightful visualizations to predictive models. Discover the world of data science and its power to reveal valuable insights.
View ProjectProject4_Financial_Classification
August 20, 2023 – August 20, 2023
Dive into this repository to discover a robust financial risk prediction model. Utilizing advanced machine learning algorithms, this project assesses and forecasts financial risks with accuracy. The model is accessible through a user-friendly Streamlit interface, making risk assessment a breeze. Make informed decisions in the world of finance! 📊💼
View ProjectLearn_Python
August 18, 2023 – August 24, 2023
In this repo we learn Python from basic to advance.
View ProjectProject1_MPG_Prediction
July 8, 2023 – February 18, 2025
This repository contains a regression algorithm for predicting vehicle fuel efficiency (MPG) based on various features. The algorithm is deployed using Streamlit, providing an interactive interface for users to input vehicle details and get real-time MPG predictions. Start optimizing your fuel usage today! 🚗💨
View ProjectData_Science_Materials
April 13, 2023 – May 30, 2024
Data_Science_Materials — GitHub repository
View ProjectPython-EDA
April 8, 2023 – February 7, 2025
This repo covers Python for Data Science which include [EDA, Model building, Projects]
View ProjectCultural Fit Analysis
The candidate shows a strong personal drive for learning and applying data science concepts through numerous personal projects. However, the projects are primarily individual efforts, and there is no information regarding collaboration or team-oriented work. The current 'experience' lists a future start date, indicating a lack of professional experience. The breadth of technologies used is somewhat limited, focusing heavily on Python and Jupyter Notebook, with some exposure to web frameworks for deployment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and there are no psychometric test results or interview feedback.