Karthi G

Karthi G

India

IT proffessional from kerala , graduated in 2016 .hobbies includes Cycling, cooking,

Teaches Artificial Intelligence
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About Karthi

I started my proffession as a tutor from the year 2018

Resume

2016 — 2018
Central University Of Kerala
Bachelors in Btech
British Indian Ocean Territory
2023 — Present
Ai And Ml
As an AI Data Analyst, will play a key role in analyzing complex datasets using advanced analytical methods and AI techniques to derive valuable insights that drive business decisions and improve processes. You will work closely with cross-functional teams to understand business requirements, develop AI models, and deploy solutions to address specific challenges. Your responsibilities will include:

Utilizing AI and machine learning techniques to analyze large datasets and identify patterns, trends, and correlations.
Developing predictive models, algorithms, and statistical analyses to forecast outcomes and optimize business processes.
Preprocessing and cleaning data to ensure accuracy, completeness, and consistency.
Collaborating with stakeholders to understand business objectives and translate them into analytical solutions.
Designing and implementing data visualization dashboards and reports to communicate insights effectively.
Evaluating the performance of AI models and iterating on them to improve accuracy and efficiency.
Staying updated on the latest developments in AI, ML, and data analysis techniques and incorporating best practices into projects.
Documenting processes, methodologies, and findings to support knowledge sharing and future reference.
Requirements:
2023
Ai Ml And Ai Data Analyst
Aisect
An \"AI Data Analyst\" is a professional who specializes in analyzing data using AI and ML techniques to derive insights and inform decision-making processes. They possess both data analysis skills and expertise in AI and ML methods, allowing them to extract meaningful information from large and complex datasets. AI Data Analysts often work in industries where data-driven decision-making is crucial, such as finance, healthcare, marketing, and technology.
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