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Nikitha ******** AI Data Analyst

$660 / day

Summary

AI Data Analyst professional with 3 years of experience in market research and a strong track record of delivering actionable insights through complex data analysis. Adept at programming and utilising advanced data-driven solutions to inform strategic decision-making. Proficient in JavaScript, HTML, and SQL, with a solid foundation in statistical analysis and data visualisation. Known for translating intricate datasets into clear, actionable reports and presentations, enabling stakeholders to make informed business decisions. Demonstrates a keen ability to identify trends, optimise processes, and drive efficiencies through innovative data solutions. Continuously explores emerging technologies and methodologies to enhance analytical capabilities and stay ahead of industry developments.

SKills

CConfirmITData AnalysisData ManagementHadoopHTMLJavaJavaScriptMS ExcelPower BIPythonResearch and Sourcing ProficiencySQLStatistical AnalysisTypeScript
AI ConsultantData Scientist

Education

Feb 2022 - Dec 2023 Masters of Information Technology at Torrens University

Experience

2020 - 2022 Data Analyst at KANTAR

– Analysing survey data code developed by programmers. Report
any issues or bug and provide feedback on its experience,
defect free data was the goal to achieve.
– Expertise in collecting, cleaning and analysing raw data.
Data collection and manipulation done using SQL. Created
insightful data visualisations and interactive dashboards
using Power Bl, transformed complex datasets into easy
insights for stakeholders.
– Interpreted data, analysed results and produced reports to
help our marketing team.

May 2023 - Present Programmer at CornerStone

– Design, develop, and manage systems and apps for gathering,
analysing, and reporting data from market research.
– Creating online questionnaires and surveys to gather
information from a range of sources, including online
panels, groups, and interviews. Develop scripts
and algorithms to improve the efficiency of data
collecting, analysis, and reporting by processing and
analysing market research data.
– Work together to comprehend the goals, specifications, and
deliverables of the research with client managers,
recruiters, team leaders, and cross-functional teams. When
utilising market research applications, offer clients
or internal teams technical support.
– Keep updated with new developments in market research
techniques, instruments, and technologies. Implement
suitable data protection measures and secure sensitive
information.
– Recruiting: To identify, engage and select participants for
research projects. Collaborate with clients to define
target demographics, employ various recruitment methods,
and ensure diverse and qualified participants to
gather accurate and insightful data for clients’ research
objectives