Data Analyst with less than a year in Data Visualization & Business Insights
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Experienced Data Analytics Intern with a strong foundation in SQL, Python, and Power BI for generating actionable business insights. Proven ability to clean, preprocess, and model complex datasets, build interactive dashboards with KPI tracking, and perform exploratory data analysis. Skilled in creating advanced DAX measures, optimizing data models, and writing complex SQL queries to support data-driven decision-making in customer behavior, sales performance, and global analytics.
Sardar Vallabhbhai Patel Institute of Technology, Vasad (GTU)
Bachelor of Engineering · Information Technology
August 1, 2022 – June 30, 2026
Rishabh Software pvt ltd.
Data Analytics Intern
January 1, 2026 – June 1, 2026
India
Sales Performance Analysis Dashboard
April 1, 2026 – June 1, 2026
Developed a 7-page interactive Power BI dashboard analysing 100,000 sales transactions across revenue, profit, customers, products, employees, and regional performance. Performed data cleaning, transformation, modelling, and KPI analysis using SQL, Excel, Power Query, and DAX to create dynamic analytical reports. Designed interactive visualizations and time-intelligence reports to identify sales trends, discount impact, customer behavior, and business growth opportunities for data-driven decision-making.
World Data 2023 Global Analytics Dashboard
April 1, 2026 – June 1, 2026
Developed an 8-page interactive Power BI dashboard analysing 195 countries across economic, healthcare, education, environmental, and demographic indicators. Performed data cleaning, transformation, modelling, and KPI analysis using Power Query, DAX, SQL, and Excel to create dynamic analytical reports. Designed interactive visualizations and trend analysis dashboards to generate actionable insights and support data-driven decision-making.
Customer Behaviour Dashboard Analysis
January 1, 2026 – June 1, 2026
Developed an interactive customer behaviour dashboard using Power BI, SQL, and Python to analyse sales and purchasing trends. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on customer transaction datasets. Designed KPI-based visualizations including total sales, average purchase value, customer ratings, and product category analysis.
Summer Internship Certification in Artificial Intelligence
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a consistent focus on data analysis and dashboard development, indicating a strong interest and alignment with data-centric roles. The internship experience further solidifies this alignment. The projects cover diverse domains (global analytics, customer behavior, sales performance), suggesting adaptability. However, the experience is primarily academic and internship-based, which might limit exposure to diverse team dynamics and corporate cultures. The candidate is still pursuing a Bachelor's degree, which implies a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Communication, Leadership, Attention to Detail, and Time Management as soft skills. The project descriptions and internship experience suggest an operational fit for roles requiring data manipulation, visualization, and report generation. However, without specific assessment data on these soft skills, their actual proficiency cannot be fully validated.