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Data Analyst with less than a year in Python, SQL, Power BI, and Excel.
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 a strong foundation in Python, SQL, Power BI, and Excel. Skilled in data cleaning, exploratory data analysis (EDA), data visualization, dashboard development, and reporting through hands on projects and continuous learning. Familiar with analyzing datasets, identifying trends, and creating interactive dashboards to support business decision making. Eager to apply analytical and problem solving skills in a Data Analyst role while continuing to grow expertise in business intelligence and data analytics.
Bhagwan Mahavir Polytechnic (GTU)
Diploma · Automobile Engineering
N/A – June 30, 2023
Jewel One
Exim Executive
October 1, 2025 – Present
Surat, Gujarat, India
Superstore Sales Analysis Dashboard
June 25, 2026 – Present
Performed data cleaning and preprocessing using Python (Pandas). Conducted exploratory data analysis to identify sales and trends. Built an interactive Power BI dashboard to visualize KPIs, regional performance, category wise sales, and customer insights. Created DAX measures for business metrics and performance tracking. Developed data-driven insights and visual reports to support business decision-making.
Google Play Store Data Analysis
June 25, 2026 – Present
Processed raw app data by handling missing values, removing special characters, and converting scientific notation into readable formats. Conducted Exploratory Data Analysis (EDA) to identify trends in app ratings, categories, reviews, and installs. Analyzed 5-star rated applications across categories to uncover patterns in user preferences and app performance. Developed data visualizations using Matplotlib and Seaborn to communicate insights and support data-driven decision-making.
Self-Paced Data Analytics Bootcamp
Krish Naik
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in Automobile Engineering followed by a pivot to Data Analytics through self-study and projects demonstrates adaptability and a strong drive for career change. The personal projects show initiative and a proactive approach to skill development. However, the lack of team-based projects or professional data analysis experience makes it difficult to fully assess cultural fit, especially regarding collaboration and working within a structured data team. The current 'Exim Executive' role is not directly aligned with a Data Analyst position, but the pursuit of data analytics skills indicates a clear career direction.
Soft Skills & Operational Fit
The candidate's resume indicates an 'Exim Executive' role which involves coordination and documentation, suggesting organizational skills. However, there is no direct evidence of soft skills like teamwork, problem-solving in a data context, or communication style from the provided data. The psychometric and English test scores are 0, providing no insight into these areas. The project descriptions are clear and concise, indicating good written communication for technical topics.