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Data Science with less than a year in data cleaning, transformation, and visualization.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Python, Power BI, and Excel, specializing in data cleaning, transformation, and visualization for actionable insights. Proficient in designing relational databases (MySQL), writing optimized queries, and automating KPI dashboards. Skilled in EDA, statistical analysis, and building interactive reports for business decision-making. Experienced in cloud database security, authentication, and end-to-end pipeline development.
Miracle Educational Society Group of Institutions
Bachelor of Technology
August 1, 2020 – June 30, 2024
Vasu Junior College
Intermediate
June 1, 2018 – May 31, 2020
ZPHS Vizianagaram
Board of Secondary Education
June 1, 2017 – May 31, 2018
Wexdi Software Services
Intern
December 1, 2024 – February 1, 2025
India
Vendor Performance Analytics
June 23, 2026 – Present
Developed an end-to-end vendor performance analysis pipeline using SQL, Python (pandas, matplotlib, seaborn), and Power BI. Designed and optimized SQL queries for data cleansing, integration, and aggregation of vendor datasets. Performed exploratory data analysis and hypothesis testing in Python to identify patterns and validate insights. Created an interactive Power BI dashboard with DAX measures (vendor ranking, defect rate, on-time performance) and dynamic filtering.
Sales Performance Dashboard
June 23, 2026 – Present
Developed an interactive dashboard to track revenue, regional sales, and top products. Designed a star-schema model with fact/dimension tables for efficient reporting. Created DAX measures (YTD Sales, Profit Margin, YoY Growth) for advanced KPIs. Enabled dynamic analysis using slicers, filters, and drill-through reports. Optimized performance via aggregations and reduced data load by 30%. Published to Power BI Service with scheduled refresh and role-based Row-Level Security (RLS).
Product Analytics Dashboard
June 23, 2026 – Present
Developed an analytics pipeline to track product metrics, adoption, and user trends. Cleansed and prepared data via SQL and Excel transformations (handling nulls, duplicates, and data types). Wrote SQL queries to join user, sales, and product tables to compute KPIs such as retention and revenue. Designed a Power BI dashboard with slicers, filters, and interactive visuals for actionable insights.
Excel, Python, Powerbi, Sql
Coursera
June 1, 2026 – Present
Data Analysis
Coursera
June 1, 2026 – Present
Google Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical, business-oriented data analysis, which aligns with many organizational needs. The certifications in Data Analysis, Excel, Python, Power BI, SQL, and Google Analytics show a proactive approach to skill development. The internship, though not directly in data science, shows exposure to software development, which can be beneficial. However, the overall breadth of experience is limited to specific tools and techniques, and there's no explicit mention of collaborative project work or contributions to open-source, which could indicate cultural fit in team-oriented or innovative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business requirements into technical solutions (e.g., vendor performance, sales tracking). The focus on interactive dashboards and actionable insights suggests a user-centric approach. However, the provided data does not offer direct insights into soft skills like teamwork, problem-solving under pressure, or communication style beyond the clarity of project descriptions.