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Data Science with 1+ years in financial operations, data analysis, and dashboard development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rugved Tandel is an aspiring Data Science professional with 1.7 years of experience in finance and accounting operations, leveraging skills in Python, SQL, Excel, and Power BI. Currently pursuing a Masters in Operations & Data Science, Rugved has a proven track record in financial record accuracy, reconciliation, and developing data-driven dashboards for HR and product performance. With hands-on experience in processing invoices, managing reconciliations, and analyzing data, Rugved is adept at transforming raw data into actionable insights to support business decisions.
NMIMS (Centre for Distance and Online Education)
Masters · Operations & Data Science
August 1, 2024 – Present
Guru Nanak Khalsa College of Science, Commerce and Arts
Bachelors · Accounting & Finance
June 1, 2021 – April 1, 2024
Teleperformance (Client Location: Tata Power)
Associate Accounts Payable
April 1, 2025 – June 1, 2026
Mumbai, Maharashtra, India
Interpublic Group (IPG)
Accounting Intern
November 1, 2024 – April 1, 2025
Mumbai, Maharashtra, India
HR Analytics Dashboard
June 18, 2026 – Present
Cleaned and transformed HR employee attrition data using Excel. Analyzed attrition trends across departments, age groups, and job roles using SQL. Performed workforce analysis using Python (Pandas & NumPy). Built an interactive Power BI dashboard with KPIs, slicers, and visualizations. Identified key attrition drivers including overtime, salary, and job satisfaction.
Amazon Product Performance Dashboard
June 18, 2026 – Present
Cleaned and analyzed Amazon product data containing 1,400+ products. Analyzed ratings, reviews, pricing, and discount trends using SQL. Performed product performance analysis using Python (Pandas & NumPy). Developed an interactive Power BI dashboard with KPIs and category insights. Identified top-rated, most-reviewed products and pricing trends.
Cultural Fit Analysis
The candidate's project work demonstrates initiative and a practical application of data science skills. However, the professional experience is primarily in accounting, which is not directly aligned with a Data Science role. The psychometric test score is significantly low, which could indicate a potential mismatch in work attitude or collaboration style for a data-driven, collaborative environment. The projects are personal, which shows self-motivation but lacks team collaboration experience in a professional data science setting.
Soft Skills & Operational Fit
The candidate's experience in accounting roles suggests attention to detail, compliance, and reconciliation, which are valuable for data quality and validation. The psychometric test score is low, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though more context on the test's scoring is needed for a definitive conclusion. The English test score is good, indicating clear communication skills.