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Operations Analyst with less than a year in Data Analysis & Reporting
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Assessing your cultural and operational fit
Entry-level Analyst with hands-on experience in Excel-based data analysis, transaction monitoring, and operational reporting within high-volume business payment environments. Strong in data validation, reconciliation, SLA tracking, and dashboard development. Converting raw operational data into structured insights that support business and operational decision-making.
Andhra University
Bachelor of Technology · Electronics & Communication Engineering
August 1, 2022 – June 30, 2025
Chaitanya Engineering College
Diploma · Electronics & Communication Engineering
August 1, 2019 – June 30, 2022
Yalamanchili Solutions for Payments
Operations Analyst
August 1, 2025 – Present
Visakhapatnam, Andhra Pradesh, India
Operational Transaction Reporting & Control (SQL Project)
January 1, 2025 – December 31, 2025
Designed and executed SQL queries to extract large transactional datasets for operational analysis. Applied validation checks to identify failed, duplicate, delayed, and incomplete transactions. Used CASE logic and aggregations to classify transaction statuses and error categories. Generated structured summary reports to support operational monitoring and corrective actions. Improved understanding of transaction life-cycle, exception handling, and reporting accuracy.
IPL Data Analysis & Performance Dashboard (Power BI)
January 1, 2025 – December 31, 2025
Collected and cleaned raw IPL datasets to ensure data consistency and accuracy. Transformed datasets using Power Query for efficient analysis. Built interactive dashboards to analyze team performance, player statistics, and match trends. Designed KPIs and visual filters to enable dynamic exploration of data. Delivered insights through clear visuals to support data-driven storytelling.
Sales & Operations Dashboard (Advanced Excel)
January 1, 2025 – December 31, 2025
Processed raw operational and sales datasets through data cleaning and formatting. Created dynamic dashboards using Pivot Tables, charts, slicers, and filters. Used VLOOKUP/XLOOKUP and INDEX-MATCH for reconciliation across multiple data sources. Identified performance trends and operational bottlenecks through structured analysis. Presented summarized insights for operational tracking and decision support.
Communication & Presentation Skills
TCS iON
June 1, 2026 – Present
SQL and Relational Database
IBM
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Oracle Analytics Cloud
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications indicate a strong interest in data analysis and operational roles. The diversity of tools (SQL, Power BI, Excel, Python) and project types (transaction reporting, performance dashboards) suggests adaptability and a willingness to learn. However, the experience is primarily academic and entry-level, which might require more mentorship in a fast-paced corporate environment. The target role alignment is strong, but the breadth of real-world, non-academic experience is limited.
Soft Skills & Operational Fit
The candidate demonstrates foundational soft skills such as problem-solving, stakeholder communication (mentioned in projects), and an understanding of Agile fundamentals. Their experience in monitoring operational workflows and coordinating with internal teams suggests a good fit for operational roles requiring attention to detail and collaborative problem-solving.