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About Me
Python data analyst with 3 years of experience in providing analytical solutions by making powerful data driven solutions through python libraries with good communications skills, detail Oriented, hardworking and a team player Proficient in writing S...
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Portfolio Projects
Description
Telecom Customer Churn Prediction
Company Name: TPD TECHNOSOFT PRIVATE LIMITED
Profile: Python Data Analyst
Team Size: 4
Job Profile : predict behavior to retain customers and analyze all relevant customer data .churn is when a customer stops doing business or end a relationship with a company .dataset includes information about services that each customer has signed up for phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV & movies.
Responsibilities
- Cleaning the datasets
- Exploratory data analysis using pandas to Compute summary statistics
- Understand the features of the dataset
Exploring data using visualizations (seaborn)
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Stock Marketing Analysis
Company Name: TPD TECHNOSOFT PRIVATE LIMITED
Profile: Python Data Analyst
Team Size: 5
Job Profile :
Responsible for calculating the change in price of the stock over time and also visualizing them by graphs. Predicting the daily returns based on a price change from opening of a trading to its close and visualizing them. Calculating the moving average to track the trends of financial assets by smoothing out the day-to-day price fluctuations. Finding out the correlation between different stocks closing prices plotting it and visualizing it through graphs. Calculating the correlation between different stocks daily returns by taking a closer look at the daily changes of the stock and visualizing them through graphs. Calculating how much value we put at risk by investing in a particular stock
Responsibilities
- Used Python for Data Analyst ( Numpy, Pandas, Seaborn, Matplotlib)
- Responsible for domain knowledge analysis, design, build, deploy statistical applications to solve real-world problems like data analytics.
Used Python to extract the Drive Data availability information from files and analyzing with graphs and maps
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Responsible for calculating the change in price of the stock over time and also visualizing them by graphs. Predicting the daily returns based on a price change from opening of a trading to its close and visualizing them. Calculating the moving average to track the trends of financial assets by smoothing out the day-to-day price fluctuations. Finding out the correlation between different stocks closing prices plotting it and visualizing it through graphs. Calculating the correlation between different stocks daily returns by taking a closer look at the daily changes of the stock and visualizing them through graphs. Calculating how much value we put at risk by investing in a particular stock
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predict behavior to retain customers and analyze all relevant customer data .churn is when a customer stops doing business or end a relationship with a company .dataset includes information about services that each customer has signed up for phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV & movies.
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Courier service provides usually have a very large network Across countries. It includes distribution center and delivered using transportation services like aero plane, ship, road transportation services etc. they can track their consignment through online or via Email or sms. This can be also used for online shopping companies.
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