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Data Analyst with 1+ years in Data Analysis & Business Intelligence
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 1.5 years of experience in analyzing complex datasets using tools such as SQL, Power BI, Tableau, and Python. Proficient in Financial Analysis, Risk Management, Data Modelling, and Business Intelligence.
K.S.School of Engineering and Management
Bachelor of Technology (B.Tech.) · Engineering and Management
August 1, 2019 – June 30, 2023
Sri Vivekananda Jr. College
Senior Secondary Exam
N/A – May 31, 2019
Wipro Itd.
MIS Executive
January 1, 2025 – Present
Visakhapatnam, Andhra Pradesh, India
SAP Concur
June 23, 2026 – Present
Goal of the Project: To give the accuracy and maintain the large set of data into a classy way form of dashboards. Automated monthly reporting process, Reducing preparation time by 40% and improving the data accuracy for 10 sales region. Enhanced decision-making by providing Concise, Visual insights for management.
ENTRUST
June 23, 2026 – Present
Preparing the complex data into the simplyified one maintaining the trackers on each users in an individual formats and helping the management by providing the accurancy.
Data Analytics Professional Course
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience demonstrate a focus on data accuracy, efficiency, and providing actionable insights, which aligns well with a data-driven culture. The mention of improving data reliability and forecasting accuracy indicates a results-oriented mindset. The breadth of tools used (SQL, Power BI, Python, ML models) suggests adaptability and a willingness to learn new technologies. However, the resume lacks details on team collaboration or contributions to broader organizational goals beyond individual project outcomes.
Soft Skills & Operational Fit
The candidate's experience highlights problem-solving and stakeholder management through project descriptions. The ability to lead data migration projects and automate reporting suggests a proactive and efficient operational approach. However, specific examples of collaboration or stress handling are not explicitly detailed in the provided data.