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Data Analyst with less than a year in Python, SQL & 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
Results-driven Data Analyst skilled in Python, SQL, Excel, and Power BI with expertise in data cleaning, exploratory data analysis (EDA), and dashboard development. Experienced in analyzing large business datasets to uncover trends, track KPIs, and deliver actionable insights that support data-driven decision making.
St. Xavier's Catholic College of Engineering
B.E. Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2025 – June 30, 2025
Zaalima Development
Data Analyst Intern
February 1, 2026 – Present
Bengaluru, Karnataka, India
AgilTribers
Data Analyst Intern
November 1, 2025 – January 31, 2026
Nāgercoil, Tamil Nadu, India
Sales Performance Analytics Dashboard
January 1, 2025 – June 30, 2025
Analyzed 10,000+ e-commerce sales records using Python and SQL to identify revenue trends and product performance. Developed an interactive Power BI dashboard to visualize revenue trends, regional sales, and product category performance. Translated sales trends into actionable insights that improved product strategies for high-demand categories.
Data Analytics Certification
Karka AI & Tech Academy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including a personal project on sales performance and internships in different companies, indicates adaptability and a proactive learning attitude. Their skills align well with a Data Analyst role, showing a clear career path and interest in the field. The breadth of skills (Python, SQL, Power BI, Excel, EDA, statistical analysis) suggests a well-rounded individual capable of contributing to various data initiatives.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, evidenced by their focus on delivering actionable insights and improving reporting accuracy. Their experience in collaborating with cross-functional teams suggests good teamwork and communication skills, which are crucial for operational fit in a data-driven environment. The ability to translate sales trends into improved product strategies indicates a business-oriented mindset.