Python Trading Data Analysis & AWS/Digital Ocean Deployment Work From Home Part Time Internship

Actively hiring
Python Trading Data Analysis & AWS/Digital Ocean Deployment
Start Date
Starts immediatelyImmediately
Duration
2 Months
Stipend
₹ 4,000 /month
APPLY BY
12 Oct' 24
Posted just now
Internship
Part time

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Data collection and cleaning: Gather and verify cryptocurrency data from various sources, ensuring accuracy and reliability. Clean and preprocess data to prepare it for analysis and visualization.
2. Data analysis: Perform statistical analysis daily to identify key trends and patterns in cryptocurrency markets. Develop algorithms or models to interpret data and generate actionable insights.
3. Chart creation and visualization: Create and update dynamic charts and visualizations to represent data trends. Collaborate with the team to design user-friendly dashboards and reports.
4. Cloud deployment and maintenance: Deploy data visualizations and dashboards on AWS or Digital Ocean. Monitor performance, manage resources, and ensure data security and scalability.
5. Continuous monitoring and optimization: Regularly monitor data systems' performance, optimizing speed and accuracy. Update and refine models, charts, and dashboards as necessary.
6. Reporting and collaboration: Prepare and present daily or weekly reports on findings. Work closely with the team to support decision-making and strategy development.

Skill(s) required

Amazon Web Server (AWS) Data Analysis Python

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 12th Sep'24 and 17th Oct'24

3. are available for duration of 2 months

4. have relevant skills and interests

Perks

Flexible work hours

Number of openings

1

About Nicko Crypto

Hey, I am an active crypto market chartist and statistician. I have been working in this field since 2017.
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