Ayush Singh

CodeX is a German beverage company that is aiming to make its mark in the Indian market. A few months ago, they launched their energy drink in 10 cities in India.
Their Marketing team is responsible for increasing brand awareness, market share, and product development. They conducted a survey in those 10 cities and received results from 10k respondents. You as a Marketing Data Analyst tasked to convert these survey results to meaningful insights that the team can use to drive… Show more

CodeX is a German beverage company that is aiming to make its mark in the Indian market. A few months ago, they launched their energy drink in 10 cities in India.
Their Marketing team is responsible for increasing brand awareness, market share, and product development. They conducted a survey in those 10 cities and received results from 10k respondents. You as a Marketing Data Analyst tasked to convert these survey results to meaningful insights that the team can use to drive actions.

The task is to provide Insights on:
▶ Demographic Insights
▶ Consumer Preferences
▶ Competition Analysis
▶ Marketing Channels and Brand Awareness
▶ Brand Penetration
▶ Purchase Behavior
▶ Product Development Show less

This Power BI project highlighted the significance of data preparation, thoughtful visualization design, and collaborative sharing. By leveraging the capabilities of Power Query Editor, a strong data model was established. DAX for calculations, and different visualization techniques helped uncover valuable insights, guiding strategic decisions for the bicycle company.

In this project, I have created different classification models using various classification algorithms on the fashion mnist dataset.

In this small model building project I use data science concepts such as data load and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tunning, k fold cross validation etc. Technology and tools wise this project covers:

Python
Numpy and Pandas for data cleaning
Matplotlib for data visualization
Sklearn for model building
Jupyter notebook, visual studio code and pycharm as IDE
Python flask for http… Show more

In this small model building project I use data science concepts such as data load and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tunning, k fold cross validation etc. Technology and tools wise this project covers:

Python
Numpy and Pandas for data cleaning
Matplotlib for data visualization
Sklearn for model building
Jupyter notebook, visual studio code and pycharm as IDE
Python flask for http server
HTML/CSS/Javascript for UI Show less

It is about the target identification in bacteria using in silico method, which is the first step of drug discovery.
Target identification and characterization begins with identifying the function of a possible therapeutic target gene or protein and its role in the disease. Designing a drug-specific to such a target will affect only the pathogen but won't interfere with any aspects of the host biology. Therefore, using extensively in silico tools, we identified broad-spectrum antibiotic… Show more

It is about the target identification in bacteria using in silico method, which is the first step of drug discovery.
Target identification and characterization begins with identifying the function of a possible therapeutic target gene or protein and its role in the disease. Designing a drug-specific to such a target will affect only the pathogen but won't interfere with any aspects of the host biology. Therefore, using extensively in silico tools, we identified broad-spectrum antibiotic targets and proposed aldehyde-alcohol dehydrogenase as a novel drug target against highly pathogenic bacteria. Show less