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Data Analyst with less than a year in Python, SQL & Tableau
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Results-driven Data Analyst with hands-on experience delivering end-to-end analytics solutions — spanning data ingestion, cleansing, modelling, and executive-level dashboard reporting. Proficient in Python, SQL, Tableau, and Power BI, with a demonstrated ability to translate complex, multi-source datasets into actionable business insights that drive data-driven decision-making. Experienced in KPI development, exploratory data analysis, reporting automation, and cross-functional stakeholder collaboration. Familiar with Agile delivery environments and enterprise data quality practices. Immediate joiner.
NIMS University, Jaipur
Master of Computer Applications
August 1, 2024 – June 30, 2026
Gauhati University, Guwahati
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Analytics Career Connect (ACC)
Data Analyst Intern
January 1, 2026 – May 1, 2026
India
All India MBA Unemployment Analysis
January 1, 2026 – Present
Analysed nationwide MBA graduate unemployment trends across 10+ specialisations and 20+ geographic regions, processing structured datasets using Python (Pandas) and SQL for end-to-end data wrangling. Applied statistical analysis and correlation techniques to identify primary unemployment drivers — including specialisation–market mismatch, geographic gaps, and experience requirements. Engineered interactive Power BI dashboards visualising placement gaps and regional hiring disparities, delivering evidence-based insights to academic stakeholders. Produced a data storytelling report on industry hiring trends and skill-demand mismatches, cited as a high-impact deliverable by the internship supervisor.
Vendor Performance & Supply Chain Analytics
January 1, 2026 – Present
Architected an end-to-end analytics pipeline using Python and SQL to evaluate supplier performance across procurement, inventory, and logistics datasets. Defined and tracked business KPIs including Profit Margin, Stock Turnover Rate, On-Time Delivery %, and Supplier Efficiency Score — directly supporting procurement decision-making. Designed executive-level Power BI dashboards for supplier benchmarking and inventory health monitoring, enabling leadership to identify underperforming vendors at a glance. Performed root cause analysis on supply chain inefficiencies, surfacing cost-saving opportunities through data-backed recommendations.
Superstore Retail Sales Analysis
January 1, 2026 – Present
Executed end-to-end retail sales analysis using Python for data preparation and Tableau for visualisation across product categories, customer segments, and regional markets. Built Tableau dashboards tracking revenue trends, profit margins, and category-level performance — pinpointing underperforming SKUs and high-growth product segments. Leveraged Tableau LOD expressions and calculated fields to enable dynamic, self-service reporting for non-technical business users. Delivered strategic recommendations identifying revenue leakage areas, supporting business decisions aligned with P&L analysis requirements.
Internship Experience Certificate
Analytics Career Connect (ACC)
January 1, 2026 – Present
Power BI Dashboard Mastery
Analytics Career Connect (ACC)
January 1, 2026 – Present
The Complete Machine Learning with Python
Udemy
January 1, 2025 – Present
Data Analytics Bootcamp
Self-directed Learning
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity across MBA unemployment, vendor performance, and retail sales analysis indicates a broad interest in applying data analytics to various business domains. This adaptability and willingness to explore different problem spaces suggest a positive cultural fit for an organization that values continuous learning and versatile problem-solving. The self-directed learning and certifications also highlight a proactive approach to skill development. However, the limited professional experience (internship only) means their exposure to diverse team dynamics and corporate cultures is still developing.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Analyst role. Their experience in cross-functional collaboration and stakeholder communication, as highlighted in project descriptions, suggests a good operational fit. The mention of Agile/Scrum familiarity indicates adaptability to modern development methodologies. However, the candidate's experience level is limited to an internship, which might require more guidance in a senior operational setting.