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Data Analyst with 2+ years in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To work in a pragmatic and growth-oriented environment that provides opportunities for continuous learning. I aim to leverage my skills and contribute meaningfully to achieving organizational goals while enhancing my professional development
Aditya Engineering College
ECE
June 1, 2021 – April 1, 2025
Sri Chaitanya Junior College
Intermediate (MPC)
January 1, 2019 – January 1, 2021
ZPH School
SSC
January 1, 2018 – January 1, 2019
Cadsys India Ltd
Junior Design Engineer
April 1, 2025 – Present
India
Technical Hub
Data Analyst - Trainee
February 1, 2024 – January 1, 2025
India
Apex Advanced Technology - Junior Design Engineer
June 1, 2026 – Present
Data analytics consists of collecting, cleaning, analyzing, and interpreting data to support decision-making. A data analyst turns raw data into actionable insights, helping businesses understand performance, identify trends, and optimize processes. Tools Used: MS Office, MS Excel, VLOOKUP, Pivot Tables, Power Bi, SQL, Azure, Python, Tableau, Data Cleaning & Visualization. Gathered and integrated data from multiple database sources. Applied data modeling techniques to structure data and utilized slicing methods for customized insights based on criteria like department, role, and tenure. Enhanced decision-making with clear, actionable insights of data. Data cleaning, SQL querying, exploratory data analysis, dashboard creation, KPI tracking, data visualization, business insights, stakeholder communication. Build dashboards and reports for stakeholders by using buttons and modeling of the visualizations. Roles & Responsibilities: Gather data from multiple sources like databases, APIs, spreadsheets, tools. Maintain and update datasets regularly. Transform data into analysis-ready formats. Analyze datasets to identify trends, patterns, and insights. Build dashboards and reports for stakeholders. Present insights using charts, tables, and KPIs. Customize reports for different teams product, sales, marketing, finance.
Creating an amazon webpage for shopping & any products. Client: Technical Hub
June 1, 2026 – Present
Developed interactive dashboards, reports, and visualizations for employee data in the technical hub, enabling efficient analysis of key Metrics. Collected Amazon sales data from databases and spreadsheets. Cleaned and transformed data using Power Query. Built a structured data model with relationships. Developed interactive dashboards using slicers, filters, charts, and tables. Analyzed product-wise, category-wise, and time-based performance.
Azure Fundamentals (AZ-900)
Unknown
June 1, 2026 – Present
Microsoft Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on data analysis and visualization, which aligns well with a Data Analyst role. The experience as a 'Data Analyst - Trainee' and the 'Junior Design Engineer' role with significant data analytics responsibilities show a clear career trajectory towards data analysis. The breadth of tools used (Power BI, Tableau, SQL, Python, Azure, Excel) indicates a willingness to learn and adapt to various technologies, which is a positive cultural fit for dynamic environments. The certifications in Power BI and Azure further reinforce this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight stakeholder communication and the ability to present insights, indicating a foundational understanding of conveying technical information to non-technical audiences. The summary mentions a desire for continuous learning and contributing to organizational goals, suggesting a positive work attitude and potential for team collaboration. However, without specific psychometric test results, a deeper assessment of logical reasoning, stress handling, and team collaboration is not possible.