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Operations Data Analyst with 1+ years in operations, logistics, and data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Operations & Data-focused professional with experience in logistics workflow execution, shipment documentation, and Excel-based reporting within an SLA-driven environment. Skilled in data validation, stakeholder communication, and process accuracy. Currently expanding expertise in Excel dashboards, Power BI, SQL, and Python to transition into data-driven operational roles.
Government Engineering Collage Rajkot
B.E. · Electrical Engineering
August 1, 2022 – June 30, 2022
Searce Inc.
Business Operations Analyst
December 1, 2024 – Present
India
Logistics Operations Analytics Project
June 20, 2026 – Present
• Generated realistic logistics data using Python and structured it into a relational dataset for analysis. • Designed SQL tables and wrote queries to analyze revenue, delivery performance, customer trends, and order status. • Built an Excel dashboard to track key KPIs such as revenue trends, late deliveries, and shipment distribution. • Identified delivery delays and revenue patterns to highlight operational improvement areas.
View ProjectFinancial Loan Analysis
June 20, 2026 – Present
• Developed a comprehensive Excel dashboard to analyze bank loan data and monitor key financial metrics. • Tracked total loans issued, loan performance indicators, and distribution across purposes and terms. • Analyzed loan quality by segmenting good vs. bad loans and visualizing risk factors. • Built interactive charts and slicers for exploring loan applications by month, state, and borrower attributes.
View ProjectProgramming for Everybody - Python
Coursera
June 1, 2026 – Present
Data Analysis with Python
freeCodeCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (logistics and finance) and continuous learning through certifications (Python, Data Analysis) suggest an adaptable and growth-oriented mindset. Their current role as a Business Operations Analyst aligns well with the target role of Operations Data Analyst, indicating a clear career trajectory and understanding of operational needs. The breadth of skills, including technical and operational tools, points to a candidate who can integrate well into data-driven operational teams.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing high-volume requests and maintaining data accuracy. Their experience in coordinating with stakeholders and identifying process gaps suggests a proactive approach to operational efficiency and problem-solving. The focus on SLA adherence and reducing manual errors indicates a detail-oriented and results-driven mindset, which is highly valuable in an operational data analyst role.