
Data Analyst with less than a year in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Computer Science graduate with knowledge of Python, SQL, Excel, Power BI, and data analysis. Seeking an entry-level Data Analyst position to apply analytical, problem-solving, and data visualization skills to support data-driven business decisions.
Siddartha Educational Academy Group of Institutions
Bachelor of Technology · Computer Science Engineering
August 1, 2021 – June 30, 2025
S.T. Joseph's Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Z.P. High School
Secondary School Certificate
June 1, 2019 – May 31, 2019
SkillDzire
Data Science Virtual Internship
June 1, 2023 – August 1, 2023
India
Customer Shopping Behavior Analysis
June 1, 2026 – Present
Analyzed customer purchase data to identify buying patterns and sales trends. Performed data cleaning and validation to improve data accuracy and consistency. Created KPI reports and dashboards using Excel and Power BI. Generated insights through trend analysis to support business decision-making.
Banking Analytics Dashboard
June 1, 2026 – Present
Collected and organized banking datasets from multiple sources. Used SQL queries to extract, filter, and summarize data. Built interactive dashboards to monitor customer, loan, and deposit metrics. Presented findings through visual reports to support data-driven decisions.
SQL for Data Analysis
Simplilearn
June 1, 2026 – Present
Python for Data Analyst (EDA, Pandas, NumPy)
Simplilearn
June 1, 2026 – Present
Data Science Virtual Internship
SkillDzire
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, though personal, show a practical application of data analysis skills across different domains (customer behavior, banking analytics). The virtual internship further demonstrates a proactive approach to skill development. The breadth of tools and techniques used (SQL, Python, Power BI, Excel) indicates a willingness to learn and adapt, which contributes positively to cultural fit in a dynamic data team. However, the lack of professional work experience beyond an internship limits the assessment of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, communication, team collaboration, attention to detail, time management, and adaptability. These are valuable soft skills for a Data Analyst role, suggesting a good operational fit for data-driven environments. The project descriptions also implicitly demonstrate attention to detail in data cleaning and validation.