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Data Analyst with less than a year in SQL, Python, and data visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with strong knowledge of SQL, Python, Excel, and data visualization. Skilled in data cleaning, exploratory data analysis, and dashboard creation. MCA graduate eager to apply analytical and problem-solving skills to support business decisions.
Mumbai / NMITD Dadar
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – June 30, 2024
R.K Talreja College Ulhasnagar
Bachelor's Degree
August 1, 2021 – June 30, 2021
Sales Data Analysis
June 30, 2026 – Present
Analyzed sales data using Python and SQL. Cleaned and processed raw datasets for accuracy. Built dashboards to identify trends, revenue growth, and top products. Delivered insights to support data-driven decision-making.
Customer Churn Analysis
June 30, 2026 – Present
Conducted exploratory data analysis (EDA) on customer data. Identified churn drivers using statistical techniques. Created visualizations to communicate findings clearly.
Data Analysis with Python
Edureka
June 1, 2026 – Present
Power BI/Tableau Certification
Unknown
June 1, 2026 – Present
SQL for Data Analytics
Edureka
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical data analysis applications (Sales Data, Customer Churn). The listed soft skills align with collaborative work environments. However, the lack of professional experience and diverse project types limits the ability to fully assess cultural fit beyond basic alignment with analytical roles.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, attention to detail, and teamwork as soft skills. These are relevant for a Data Analyst role. However, without practical experience or assessment data, the operational fit and actual demonstration of these skills cannot be fully evaluated.