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Data Analyst with less than a year in SQL, Power BI & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated aspiring Data Analyst with hands-on experience in SQL, Power BI, Tableau, Excel, and Python. Skilled in data cleaning, exploratory data analysis (EDA), dashboard creation, and generating business insights from datasets. Strong analytical mindset with a proven ability to learn quickly and adapt to new technologies. Academic performance improved significantly during graduation, demonstrating consistency, dedication, and growth-oriented learning.
ExcelR Institute
Data Analytics Training
August 1, 2026 – June 30, 2026
Ismail Yusuf College, Jogeshwari, Mumbai
Higher Secondary Certificate · Science
June 1, 2022 – May 31, 2022
Dr. B.A. Highschool, Mandangad, Ratnagiri
Secondary School Certificate
June 1, 2020 – May 31, 2020
Zomato Data Analysis
January 1, 2026 – Present
Analyzed restaurant datasets to identify customer behavior trends, pricing patterns, and business insights using SQL and visualization tools. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on large datasets for accurate reporting. Built interactive dashboards and visual reports to analyze ratings, cuisines, online ordering trends, and customer preferences. Generated actionable insights to support data-driven decision-making and improve customer understanding.
Data Analytics Training
ExcelR Institute
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to one personal project, 'Zomato Data Analysis'. While this project directly aligns with the target role of Data Analyst and showcases relevant technical skills (SQL, Tableau, Power BI), the lack of professional experience or diverse projects makes it difficult to fully assess cultural fit. The educational background in Botany, followed by a dedicated Data Analytics training, suggests adaptability and a strong interest in transitioning into the data field, which could be a positive cultural indicator for a learning-oriented environment.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, adaptability, quick learning, and team collaboration as soft skills. These are valuable for operational fit in a data-driven environment, suggesting a proactive and growth-oriented mindset. However, without practical experience, the application of these skills in a professional setting is unproven.