Data with less than a year in Data Analysis & Dashboard Development
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Analytical and customer-focused graduate with hands-on experience in data analysis, SQL, and dashboard development. Proven ability to troubleshoot data issues, analyse performance metrics, and translate technical insights into clear, actionable recommendations for non-technical stakeholders. Experienced in working with clients, maintaining data accuracy, and supporting business decisions through reporting and automation. Comfortable working in shift-based, fast-paced environments.
G.H. Raisoni College, Jalgaon
Bachelor of Computer Applications (BCA)
August 1, 2023 – June 30, 2026
Cravita Technologies, Pune
Trainee - Data Science & Analytics Engineer
June 1, 2025 – January 1, 2026
Pune, Maharashtra, India
Gems Quality & Pricing Dashboard
June 24, 2026 – Present
• Built an interactive dashboard to analyse pricing by cut, colour, clarity, and carat. • Enabled stakeholders to quickly interpret trends through visual analytics.
View ProjectNetflix Movies Data Analysis
June 24, 2026 – Present
• Conducted exploratory data analysis to identify content trends and performance patterns. • Cleaned and validated large datasets using Pandas, NumPy. Seaborn & matplotlib
View ProjectBooks Sales Analysis
June 24, 2026 – Present
• Wrote optimized SQL queries to analyse sales trends, authors, and categories. • Delivered insights in a structured format suitable for business decision-making.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (movies, books, gems). The internship experience at Cravita Technologies shows exposure to client interaction and stakeholder management, which aligns with collaborative work environments. The breadth of tools used (SQL, Excel, Python, Power BI, Tableau) indicates a willingness to learn and adapt to various technical stacks, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's profile summary highlights customer-focused and analytical traits, with proven ability to troubleshoot data issues and translate technical insights. Experience in client interaction and supporting business decisions suggests good communication and problem-solving skills. The mention of being comfortable in shift-based, fast-paced environments indicates adaptability and operational fit.