Data Analyst

Summary

Experienced Data Analyst with 3 years of expertise in Python, SQL, and R, specializing in data visualization, machine
learning, and proficient in various databases and cloud technologies.
Python Proficiency in libraries such as NumPy, Pandas, SciPy, Matplotlib, Seaborn, TensorFlow, and Scikit-Learn for
statistical analysis, predictive modeling, and machine learning.
Database Expertise with MySQL, PostgreSQL, MongoDB, and Snowflake, demonstrating the ability to handle large datasets
and optimize data processing.
Advanced Visualization Skills using Power BI, Tableau, and MS Excel, creating interactive visualizations that enhance user
engagement and insight accessibility.
Project Management adept in Agile (SCRUM) and Waterfall methodologies, efficiently managing data analysis projects
from conception to delivery.
Comprehensive Data Processing capabilities, from data mining and cleaning to warehousing, wrangling, and ETL
processes, ensuring high data quality and reliability.
Cloud Technology Utilization with AWS (EC2, S3, Lambda, Athena, and Redshift) for scalable and efficient data analytics,
ensuring optimal performance and cost-effectiveness.
Utilized Data bricks and Google Big Query for advanced data analytics and financial analysis, providing actionable insights
for business growth

Expectations

Challenging Projects, Professional Development, Work-Life Balance, Innovation and Cutting-edge technology

Employment Preferences

Expected Base Salary

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Languages
• Python
• SQL
• Hadoop
• R
• Bash
• Advanced SQL
• C
• C++
• JavaScript
• Libraries
• NumPy
• Pandas
• SciPy
• Matplotlib
• Seaborn
• Scikit-Learn
• TensorFlow
• PySpark
• Databases
• MySQL
• PostgreSQL
• MongoDB
• Snowflake
• Oracle
• Visualization Tools
• Power BI
• Tableau
• MS Excel
• D3.js
• Looker
• Analytical Skills In Data Mining
• Data Cleaning
• Data Warehousing
• Data Wrangling
• Statistical Analysis
• Data Modeling
• ETL
• A
• B Testing
• Cloud Technologies
• AWS
• EC2
• S3
• Lambda
• Athena
• Redshift
• Google Cloud Platform
• BigQuery
• Methodologies SDLC
• Agile
• Waterfall
• Scrum
• Tools Microsoft Office
• PyCharm
• Jupyter Notebook
• Docker
• JIRA
• Trello
• Operating Systems
• Soft
• Version Control
• Windows
• UNIX
• Linux
• Mac
• Communication
• Problem-Solving
• Time Management
• Git
• GitHub
• Bitbucket
• Machine Learning
• Deep Learning