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Data Analyst Bsc Data Science
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Nielsen
Data Scientist
June 16, 2026 – Present
Spotify-Dashboard-using-AI
August 24, 2024 – August 26, 2024
I've created a dynamic Spotify data analysis dashboard using Power BI. Throughout this project. The dashboard leverages HTML,Deneb, Python, and the advanced AI capabilities of ChatGPT, offering a detailed exploration of Spotify's music trends and user patterns.
View ProjectWildly-Tech-Private-Limited-task
April 5, 2023 – April 5, 2023
Wildly Tech Private Limited task of converting mp3 file to mav file
View ProjectPothole-Detection-System-CNN-YOLOV5-
February 24, 2023 – February 24, 2023
This project is a deep learning-based model that can perceive potholes initially using images. This model is mostly based on CNN and YOLOV5 .It was possible to detect potholes with an accuracy of 88% and 95% respectively.
View ProjectAll-ML-Algorithms
August 19, 2022 – August 19, 2022
I have used the Machine learning algorithms by taking the diabetes dataset .
View ProjectTransaction-fraud-detection-using-python
May 17, 2022 – May 17, 2022
Transaction-fraud-detection-using-python — GitHub repository
View ProjectGRIP-task-projects
September 12, 2021 – September 17, 2021
GRIP-task-projects — GitHub repository
View ProjectLGMP-VIP-TASKS
September 12, 2021 – September 17, 2021
LGMP-VIP-TASKS — GitHub repository
View ProjectFlight-Price-Prediction
August 30, 2021 – August 30, 2021
end to end project on flight fare prediction
View ProjectCredit-card-fraud-analysis
August 9, 2021 – August 9, 2021
I have developed credit card fraud detection model using machine learning. I have used a variety of ML algorithms to implement this model and also plotted the respective performance curves for the models. I have also analyzed and visualized to discern fraudulent transactions from other types of data.
View ProjectTitanic-passenger-survival
August 9, 2021 – August 9, 2021
In this project ,I have develop titanic survival of passenger analysis model using Machine learning .I have used many machine learning models and predicted the models to visualize .
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on common ML datasets and problems. While demonstrating initiative, there is limited evidence of collaborative work, diverse team environments, or contributions to open-source projects. The current experience at Nielsen as a Data Scientist, if current, suggests alignment with the target role, but details are missing. The breadth of skills is focused on ML/DL, which aligns with a Data Scientist role, but lacks diversity in deployment, MLOps, or broader software engineering practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.