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Aspiring Data Analyst with strong statistical analysis and data visualization skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A B. Com graduate and aspiring Data Analyst with a strong foundation in statistical analysis and data visualization. Currently specializing in Data Science and AI, with hands-on experience building predictive models and interactive dashboards using Python and Streamlit.
Pt. Lalit Mohan Sharma Campus, Rishikesh
Bachelor of Commerce (B. Com) · Commerce
August 1, 2022 – June 30, 2025
Nirmal Ashram Gyan Daan Academy
Senior Secondary (XII)
N/A – May 31, 2022
Mentor Mind (Co-certified by Sportskeeda)
Data Science Menternship
March 1, 2026 – Present
India
Smart Logistics & Supply Chain Dashboard
June 19, 2026 – Present
Developed an interactive dashboard to visualize supply chain efficiency and identify logistics bottlenecks.
Amazon Sales Dashboard
June 19, 2026 – Present
Developed an interactive dashboard to visualize key performance indicators, trends and profitability metrics by clean, analyse and transform raw sales data resulting in actionable business insights and optimize inventory tracking.
Calories Burnt Prediction Model
June 19, 2026 – Present
Built a machine learning application that predicts calories burned based on user physical activity data.
Data Analytics Virtual Experience
Deloitte
May 1, 2026 – Present
Data Science and AI
UpGrad
August 1, 2025 – May 1, 2026
Finance
NPTEL
September 1, 2024 – Present
The candidate scored 94% on the Data Engineer — Data Platforms test, indicating a strong grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a practical approach to data science, covering areas like logistics, sales, and health prediction. The 'Data Science Menternship' and certifications from Deloitte and UpGrad show a commitment to continuous learning and professional development. The target role is 'Data Science', which aligns well with the candidate's stated specialization and project work. The diversity of projects (dashboards, prediction models) and tools used (Python, Streamlit, Power BI) indicates adaptability and a broad interest within the data domain. However, the experience level is 0, and the current education is a Bachelor of Commerce, which might require further validation of deep theoretical data science knowledge.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Technical Documentation', and 'Effective Communication' as soft skills. The project descriptions and internship experience suggest an ability to present data-driven stories to non-technical stakeholders, which aligns with effective communication. The psychometric test score is low (161/500), which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though specific details are not provided.