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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
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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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