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Data Analyst with less than a year in SQL, Python, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in SQL, Python, Microsoft Excel, Power BI, and Tableau. Experienced in Data Analysis, Business Intelligence, Statistical Analysis, Dashboard Development, KPI Reporting, MIS Reporting, and Data Visualization through academic projects. Proficient in analyzing datasets, identifying trends, generating actionable insights, and supporting data-driven decision-making. Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
Shri Gnanambica Degree College, Madanapalli
Bachelor of Computer Applications · Computer Science
August 8, 2023 – June 9, 2026
Titanic Exploratory Data Analysis
April 1, 2026 – April 16, 2026
Project Description Performed Exploratory Data Analysis (EDA) on the Titanic dataset using Python to identify patterns, trends, and factors influencing passenger survival. Conducted data inspection, missing value analysis, and statistical exploration, and created visualizations to uncover meaningful insights from the data. Role Data Analyst (Project) Key Responsibilities Analyzed and cleaned Titanic passenger data using Python and Pandas. Performed missing value analysis and data quality checks. Created visualizations using Matplotlib and Seaborn, including histograms, boxplots, scatterplots, heatmaps, and pairplots. Explored relationships between passenger demographics and survival outcomes. Summarized findings and documented insights in Jupyter Notebook. Key Achievements Identified gender as a significant factor affecting survival, with female passengers showing higher survival rates. Discovered that first-class passengers had better survival outcomes compared to other classes. Analyzed passenger age distribution and found the majority were between 20 and 40 years old. Detected fare outliers and highlighted their impact on data distribution analysis. Developed strong analytical, data visualization, and data interpretation skills through hands-on EDA.
View ProjectData Analytics
Novi Tech R&D Pvt Ltd
February 26, 2026 – Present
The candidate scored 0% on this assessment, indicating a complete lack of knowledge or ability in Data Science and Artificial Intelligence.
Limitations
The candidate scored 0% on this assessment, indicating a complete lack of knowledge or ability in Full Stack Python Application Development.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical data analysis applications, which aligns with a results-oriented culture. The listed soft skills suggest a team-player mentality. However, the lack of professional experience and the academic nature of projects limit the depth of assessment for cultural fit beyond basic alignment with analytical roles.
Soft Skills & Operational Fit
The candidate lists strong analytical thinking, problem-solving, communication, presentation, team collaboration, attention to detail, and time management skills. These are crucial for a Data Analyst role, suggesting a good operational fit for collaborative and data-driven environments. However, these are self-reported and not validated by assessment data.
Limitations