Manaswi Kamila's repositories

8-Week-SQL-Challenge

Case study solutions for #8WeekSQLChallenge by Danny Ma.

RSVP-Movies

SQL queries performed on IMDb database to provide recommendations to RSVP Movies based on insights.

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Global-Unicorn-companies-landscape

Tableau dashboard to analyze the global Unicorn companies landscape

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Credit-Card-Fraud-Detection

Built a fraud detection model to help banks identify credit card frauds and be vigilant enough to reduce losses incurred due to such unauthorised transactions by the fraudsters.

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Credit-worthiness-of-customer

Loan default prediction by identifying patterns that indicate if a client has difficulty paying their installments which may be used for taking actions and risk assessment.

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IPL-Dataset-Visualization

Performed Sports analysis by creating dashboards for Match Statistics, Player Statistics and Team Statistics in Tableau using IPL data from 2008-2017.

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Public-Clickstream-Data-Analysis

Used a public clickstream dataset of a cosmetics store to extract data and gather insights. Launched an EMR 5.29.0 cluster that utilizes Hive services and used optimized hive queries to improve their sales by identifying customer behavior.

Uber-Supply-Demand-Gap

Uber Technologies, Inc. (Uber) is an American mobility as a service provider. EDA and data visualisation is used to systematically study the gap between demand and supply of Uber cabs running between the city and the airport and address the problem Uber is facing - driver cancellation and non-availability of cars leading to loss of potential revenue.

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Bike-Sharing-Case-Study

Built a multiple linear regression model for the prediction of demand for shared bikes.

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Credit-Card-Routing-for-Online-Purchase-via-Predictive-Modelling

Built a logistic regression model to help the business to automate the credit card routing via a predictive model.

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EDA

Exploratory data analysis uses data visualization techniques to draw inferences and obtain insights

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IMDb-Movie-Data-Visualisation

A guided IMDb data visualization project using Seaborn and Matplotlib Python libraries.

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Lead-Scoring

Built a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads.

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SQL-Case-Study

Structured problem solving in SQL using issue tree framework

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StartUp-Revenue-Calculator

Machine Learning project which predicts the revenue of a start-up and helps entrepreneurs take informed decisions.

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Tableau

Tableau projects

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Telecom-Customer-Churn

Telecom Customer Churn Case Study using SQL, Python and Tableau

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Web-scraping

Web scraping using BeautifulSoup

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