Sushma Kannan Venkates
Braunschweig
Summary
Dedicated and ambitious data analyst with a strong educational background in Data Science, eager to launch a successful career in the field. Seeking an entry-level position where I can leverage my analytical skills, passion for data-driven insights, and proficiency in data analysis tools to contribute to organizational growth and make a meaningful impact. Committed to continuously expanding my knowledge and expertise while delivering high- quality results in a collaborative and dynamic environment.
Overview
7
7
Certifications
Education
Bachelor of Science - Agricultural Science
Karunya Institute of Technology And Sciences
Coimbatore,India 1 2017 - 1 2021
Data Analyst
DataScientest
04.2023 - Current
Skills
Proficient in applying machine learning algorithms to develop predictive models and uncover hidden patterns in data Skilled in feature engineering, model evaluation, and optimization to deliver accurate and actionable insights
Experienced in working with large datasets and utilizing technologies Spark to process, analyze, and extract valuable information from structured and unstructured data sources
Proficient in creating visually compelling and interactive dashboards using tools such as Tableau and Power BI to communicate complex findings effectively and facilitate data-driven decision-making
Solid understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, and ANOVA Able to apply statistical methods to extract meaningful insights and support data-driven decision-making processes
Skilled in data extraction, transformation, and loading (ETL) processes to identify relevant information from diverse data sources
Proficient in Python, SQL, and relevant libraries
Problem-solving Abilities: Critical thinking with attention to detail for innovative solutions
Communication and Collaboration: Effective presentation of complex findings
Continuous Learning: Staying updated with emerging technologies and industry trends
Accomplishments
- Communication and Collaboration: Effective presentation of complex findings
- Continuous Learning: Staying updated with emerging technologies and industry trends
- PROJECTS
- Happiness Scores Analysis: Analyzing happiness scores across countries and identifying the happiest and least happy nations
- Factors Influencing Happiness:
- Investigating the key factors that contribute to happiness, such as GDP per capita, social support, life expectancy,freedom, generosity, and corruption
- Regional Happiness Comparison:
- Comparing happiness levels among different regions and examining regional variations
- Predictive Modeling: Developing a machine learning model to predict happiness scores based on available features.
Certification
Python programming language for Data Analysts
Projects
WORLD HAPPINESS
- Happiness Scores Analysis: Analyzing happiness scores across countries and identifying the happiest and least happy nations.
- Factors Influencing Happiness: Investigating the key factors that contribute to happiness, such as GDP per capita, social support, life expectancy, freedom, generosity, and corruption.
- Regional Happiness Comparison: Comparing happiness levels among different regions and examining regional variations.
- Predictive Modeling: Developing a machine learning model to predict happiness scores based on available features.
Timeline
Data Analyst
DataScientest
04.2023 - Current
Bachelor of Science - Agricultural Science
Karunya Institute of Technology And Sciences
1 2017 - 1 2021