Data Analyst Intern with less than a year in Data Cleaning & 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
Data Analyst with hands-on experience in data cleaning, analysis, and visualization using Excel, SQL, Python, and Power BI. Skilled in building interactive dashboards, extracting business insights, and performing EDA, KPI analysis, and reporting. Possess a strong foundation in statistics and basic data science concepts, including regression and machine learning fundamentals, with a keen interest in data-driven decision-making.
Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon
B.C.A.
August 1, 2022 – June 30, 2025
Humming Byte Technologies
Data Analyst Intern
June 1, 2025 – December 1, 2025
India
Insurance-Claims-Policy-Analysis
May 1, 2026 – Present
Processed and cleaned insurance claims and policy data using Python to ensure data quality and consistency Performed SQL- based analysis on premiums, claims, and customer information to uncover key patterns. Created a dynamic Power BI dash board to track policy performance, claim trends, and customer segments. Analyzed claim distribution across different policy types and customer demographics Provided valuable insights to optimize policy management and improve claims handling efficiency
Retail-Sales-Performance-Dashboard
April 1, 2026 – Present
? Cleaned and prepared retail data using Python to ensure accurate analysis. ? Used SQL to analyze sales data and find key insights like top and bottom products. ? Built an interactive dash board in Power BI to track sales, discounts, and product performance. ? Analyzed data to identify sales trends and impact of promotions. ? Provided insights to support better business decisions and improve sales strategy.
Digital Payment Transaction Analysis
April 1, 2026 – Present
Cleaned and transformed digital transaction data using Python for reliable analysis and reporting. Used SQL queries to explore transaction trends, payment methods, and user behavior patterns. Built an interactive Power BI dash board to visualize monthly trends and transaction patterns Analyzed customer segments, payment preferences, and monthly performance metrics. Generated insights to enhance digital payment strategies and targeted customer engagement
Insurance-Claims-Policy-Analysis-Dashboard
January 1, 2026 – Present
1. Performed data cleaning and preprocessing using Python and Excel to ensure data accuracy. 2. Conducted exploratory data analysis (EDA) to identify trends, patterns, and insights. 3. Wrote SQL queries to extract, filter, and validate data from databases. 4. Created reports and basic dashboards to present findings and support data-driven decisions.
Data Analyst
Unknown
June 1, 2026 – Present
Data Scientist
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analysis across different business domains (retail, insurance, digital payments), indicating adaptability and a willingness to explore diverse challenges. The listed skills align well with a data-driven culture. The pursuit of certifications in Data Analyst and Data Scientist roles shows initiative and a commitment to continuous learning, which is a positive cultural indicator. However, the experience level is very junior, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and the ability to provide insights for business decisions, indicating a results-oriented approach. The focus on data cleaning and ensuring data quality suggests attention to detail. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.