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Entry-level Data Analyst with Python & SQL skills and 0.0 years of experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, analysis, and visualization to uncover actionable insights. Experienced in building interactive dashboards and working with real-world datasets to support data-driven decision-making.
Gandhi Institute of Engineering and Technology
Master of Computer Applications (MCA) · Computer Applications
August 1, 2023 – May 1, 2025
Gandhi Institute of Engineering and Technology
Bachelor of Computer Applications (BCA) · Computer Applications
November 1, 2020 – May 1, 2023
IPL Data Analysis Dashboard
June 1, 2026 – Present
Cleaned and processed IPL dataset using Python (Pandas, NumPy) for analysis. Wrote SQL queries to extract player performance, match statistics, and team insights. Developed an interactive Power BI dashboard showcasing KPIs such as top players, win/loss trends, and scoring patterns. Delivered insights through visual storytelling to support data-driven analysis.
View ProjectLinkedIn Analytics Dashboard
June 1, 2026 – Present
Built a Power BI dashboard to analyze LinkedIn profile and engagement metrics. Performed data cleaning and pre-processing using Excel. Visualized trends in activity, profile reach, and engagement performance.
View ProjectAgro-Fresh Data Management System
June 1, 2026 – Present
Developed a system to manage and structure product and user data using Firebase. Enabled real-time data updates for tracking orders and user interactions. Organized backend data to support future analytics and reporting use cases.
Data Analytics Internship
LearnSmasher
June 1, 2026 – Present
Full Stack Data Analytics
iNeuron
June 1, 2026 – Present
Introduction to IoT
NPTEL
June 1, 2026 – Present
Data Science Internship
LetsGrowMore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a willingness to apply learned skills. The diversity of projects (sports data, social media analytics, data management system) indicates adaptability and a broad interest in data applications. The certifications further show a commitment to continuous learning and skill development, which aligns with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-driven learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with diverse datasets and present insights, suggesting good problem-solving and communication skills. The academic nature of projects implies a structured approach to tasks. However, without specific behavioral assessment data, it's difficult to fully assess operational fit, stress handling, or team collaboration beyond what can be inferred from project descriptions.