Using the data given I have applied various ML models to predict the person who is eligible to claim the coupon and deployed it using flask.

This is a demo project to elaborate how Machine Learn Models are deployed on production using Flask API

Designed an analytical dashboard within Looker to comprehensively analyze factors influencing pricing variations in the specific car dataset, discerning the determinants behind both lower and higher price points for individual vehicles.

Leveraged the Apriori algorithm to conduct a Market Basket Analysis, extracting valuable association rules from a specific dataset. This analysis provided strategic insights into effective product bundling and sales strategies for optimizing the website's offerings.

Used clustering techinques such as K-means and Agglomerative to find out the groups that are globally happy. Also, I ued Elbow method and Silhoutte score to find the right number of clusters

Utilizing the provided dataset, I employed a range of machine learning models to forecast the likelihood of individuals having diabetes. My project involved the exploration of diverse predictive techniques, contributing to the development of valuable insights for diabetes risk assessment.

I conducted a stock price prediction project specifically focused on Tesla's performance. To achieve this, I harnessed historical Tesla data and incorporated Long Short-Term Memory (LSTM) models, a cutting-edge deep learning technique. In my project bio, I can highlight that I successfully applied LSTM models to forecast Tesla's stock price, showcasing my expertise in financial data analysis and advanced predictive modeling techniques.

Apple iPhones stand as prominent contenders in the global smartphone market, renowned for their widespread popularity. Despite the intense competition from various smartphone brands in India, where cutting-edge technology is available at a fraction of the iPhone's cost, the sales of iPhones continue to thrive. This article delves into the analysis of iPhone sales in India using Python, offering insights into the factors contributing to their success in this competitive market.

A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently. A/B testing is one of the valuable concepts that every Data Science professional should know.

The data provided contains information about a random selection of 10,000 players who installed one of our apps, Hunt and Seek (App store pages: Android and iOS), over a 14 day period and the objective is to find out ‘Organic’ players have better gameplay Key Performance Indicator (KPI) metrics than ‘Paid’ players

The data provided contains information about covid which has spreaded among the varies countries.

Created a detailed report summarizing the total fees paid by a customer, Kody’s financials, payment distribution by card type, and hourly payment trends, including a formula to estimate future PSP fees based on card type. Provide additional insights derived from the customer’s payment data.

In this project, the goal is to explore the given dataset, generate key metrics, and derive actionable insights. The analysis will focus on addressing data cleanliness, ensuring proper joins, and applying appropriate aggregation levels. The findings and the detailed process followed during the analysis will be documented and shared.

Data Analysis and finding out which field is important in terms of customer retention

Conducting a comprehensive sentiment analysis on the Amazon phone dataset, I utilized TF-IDF vectors to assess product sentiment and predict star ratings. Leveraging this analysis, I provided actionable feedback to vendors, aiming to mitigate negative sentiments and enhance overall customer satisfaction. In my project bio, I can emphasize my proficiency in sentiment analysis techniques applied to large-scale e-commerce data, showcasing my ability to derive valuable insights for improving product perception and customer experience.