Data with less than a year in Supply Chain Analytics & Financial Modeling.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a B.Com in Accountancy, specializing in supply chain analytics and financial modeling. Proficient in SQL, Python, Power BI, Tableau, and Advanced Excel. Experienced in extracting, cleaning, and analyzing complex data to evaluate efficiency, automate reporting, and build interactive dashboards that drive data-backed business decisions.
Sree Ayyappa Public School
Senior Secondary · Commerce
N/A – May 31, 2017
Goenka College of Commerce & Business Administration
B.Com (Hons in Accountancy) · Accountancy
N/A – June 30, 2020
Sree Ayyappa Public School
Secondary School · General
N/A – May 31, 2015
Supply Chain Optimization & Revenue Leakage Analysis (Northwind Traders)
April 1, 2026 – June 30, 2026
Built a 2,100+ record ETL pipeline in BigQuery SQL across 7 relational tables to evaluate global supply chain capacity, anomalies, and operational efficiency. Validated and corrected complex data integrity issues using Python (Pandas), systematically resolving duplicate aggregation caused by SQL joins to ensure accurate order-level financial reporting. Developed an executive Tableau dashboard with LOD-based KPIs, revealing that the top 3 product categories generated $669K+ (>50%) of total net revenue, indicating extreme revenue concentration risk. Conducted deep-dive logistics analysis, revealing that the highest-cost shipping provider ($86.64/order) contributed to nearly 43% of delivery delays, enabling strategic vendor renegotiation.
View ProjectSaaS Expansion Strategy: 3-Statement Financial Model & DCF Valuation
April 1, 2026 – June 30, 2026
Developed a fully integrated 5-year 3-statement financial model and Discounted Cash Flow (DCF) valuation to assess the financial viability of a European market expansion. Engineered a bottom-up revenue forecast driven by SaaS unit economics (CAC, MRR, Churn) and automated cash flow reconciliation, achieving a dynamic $0.00 balance sheet check. Built an interactive scenario-testing matrix utilizing Data Validation and CHOOSE functions to instantly stress-test Enterprise Value across Base, Bull, and Bear market conditions. Designed a grid-less executive dashboard featuring dynamic KPI tracking and trajectory charts to present a data-backed "Go/No-Go" investment recommendation.
View ProjectGoogle Data Analytics Professional Certificate (Python Track)
Coursera
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a blend of technical data analysis and business acumen, which aligns well with a data-driven culture. Their background in Accountancy combined with data analytics certifications indicates a proactive learning attitude. The diversity of projects (supply chain optimization, financial modeling) suggests adaptability. However, the lack of professional work experience makes it difficult to fully assess cultural fit beyond project alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying revenue concentration risk and delivery delays. Their ability to translate complex data into actionable business insights for executive decision-making indicates good operational fit. The leadership experience as 'Head Boy' suggests potential for teamwork and coordination, though direct professional experience in these areas is not yet evident.