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Data Analyst with less than a year in SQL, Python & Power BI, skilled in data cleaning, validation,
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3 years of experience in SQL, Python, Power BI, and Excel, skilled in data cleaning, validation, transformation, and reporting. Experienced in handling large datasets, automating workflows, improving data quality, and delivering actionable insights through strong analytical and problem-solving skills.
Thakur College of Science & Commerce (Mumbai University)
Bachelors of Science · Computer Science
August 1, 2019 – June 30, 2022
Nielsen
AD INTEL CLASSIFICATION ANALYST
July 1, 2024 – Present
India
Nepa India Pvt. Ltd. (Market Research & Analytics)
DATA ANALYST/DATA CODING EXECUTIVE
April 1, 2023 – December 1, 2023
India
The LEGO Database Project
June 25, 2026 – Present
Relational Data Engineering & Theme Domination Mapping.
View ProjectStrategic Marketing Intelligence Platform
June 25, 2026 – Present
Maximizing Conversion Rates, AOV, and Customer Engagement via Funnel Diagnostics.
Cultural Fit Analysis
The candidate's experience in both market research (Nepa) and advertising intelligence (Nielsen) shows adaptability to different data domains. Their personal projects, like 'The LEGO Database Project' and 'Strategic Marketing Intelligence Platform,' indicate a proactive and curious mindset, aligning with a culture that values continuous learning and initiative. The breadth of technical skills listed also suggests a willingness to explore and master new tools, which is a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as evidenced by their work in identifying cross-channel trends and leading a consumer behavior study. Their experience in collaborating with teams to resolve discrepancies suggests good teamwork and communication. The ability to consistently exceed productivity targets indicates a strong work ethic and operational efficiency.