Summary
Overview
Education
Skills
Accomplishments
Certification
Projects
Timeline
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Sushma Kannan Venkates

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

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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
Sushma Kannan Venkates