Enthusiastic and detail-oriented data science student with a strong academic foundation and hands-on experience in machine learning. Eager to apply analytical skills in a dynamic and collaborative data science environment. Passionate about leveraging technology for strategic decision-making.
0 + Projects completed
Motivated Data Analyst with a strong foundation in data science, statistical analysis, and machine learning. Proficient in Python, SQL, and data visualization tools. Ready to drive impactful data-driven decisions.
This research leverages CNNs to enhance fruit quality tracking and plant disease detection in Indian agriculture. The system, deployed on Google Cloud, offers real-time ripeness and defect assessment and accurate disease identification, achieving over 98% accuracy. This innovation supports sustainable farming practices.
This paper introduces TrackMate, a mobile app for real-time luggage tracking. It integrates software, a multi-structured database, Google Maps, and hardware like ESP32 and NEO-6M modules. Key features include "Safeguard" and "Directions." TrackMate aims to reduce the stress of luggage loss by offering reliable tracking during travel.
Covered both basics and in-depth understanding of Azure as an OpenAI service by Microsoft
Layed the basic layout of the foundations of Artificial Intelligence as an emerging field
A brief overview covering the major aspects of the Data Science domain of technology
A description of the working of Google Analytics aligned with the Data Analytics discipline
A simulation job including tasks to make the working of Accenture easily understandable
Starting from fetching data to building effective visualizations and pinning necessary to the dashboard
Below are the sample Data Analytics projects on SQL, Python, Power BI, Tableau & ML.
Monitor and assess the bank's lending activities and insights into key loan-related metrics and patterns.
Analysis of the store’s performance and detailed order report generation including slicers.
Analyzed key indicators for pizza sales data and insights into total orders and revenue generated.
Analyzed music store data using advanced SQL queries to identify gaps and increase business growth.
Performed exploratory data analysis on diwali sales data using Python to improve the customer experience.
Designed a Power BI dashboard for the Madhav Store to track and analyze the online sales data across India.
Built a system using machine learning to classify whether a person is wearning face mask.
Developed a credit card fraud detection model using machine learning algorithm - logistic regression.
Developed a fake news prediction model using machine learning and concepts of natural language processing
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