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Data Science with 1+ years in SQL, Power BI & Data Cleaning
Data Analyst with expertise in SQL, Python, Advanced Excel, and Power BI, experienced in analyzing complex datasets to generate actionable business insights. Skilled in data cleaning, exploratory data analysis (EDA), and interactive dashboard development to support data-driven decision-making. Proficient in transforming raw data into clear reports and visualizations using modern analytics tools. Strong analytical and problem-solving abilities developed through hands-on analytics projects and technical support experience within Microsoft 365 environments.
Bannari Amman Institute of Technology
B.E. · Mechanical Engineering
August 1, 2019 – June 30, 2023
Concentrix
MIS Executive - Technical Support
December 1, 2023 – January 1, 2025
India
Excel - E-commerce Retail Fashion Brand Dashboard
June 1, 2026 – Present
Built an interactive Excel dashboard to analyze sales performance across categories, regions, and time periods. Used Pivot Tables and advanced formulas to identify trends and support business decisions.
View ProjectSQL - Medical History Database
June 1, 2026 – Present
Developed 30+ SQL queries using joins, aggregations, and filtering to analyze healthcare data. Performed data cleaning and generated insights on patient demographics, admissions, and diagnosis trends.
View ProjectPower BI – Airbnb Property Insights Dashboard
June 1, 2026 – Present
Developed a Power BI dashboard to analyze Airbnb pricing trends, ratings, and property performance. Designed KPI cards and interactive visualizations to improve data exploration and decision-making.
View ProjectIBM Data Analysis with Python
IBM
June 1, 2026 – Present
Data Science and Analytics with AI
ITVedant
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis skills across different domains (e-commerce, healthcare, real estate), indicating adaptability. The target role is Data Science, and the candidate's skills and certifications align with this path, suggesting a good cultural fit for a data-driven environment. However, the experience level is entry-level, which might require more mentorship in a senior Data Science role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, and stakeholder collaboration skills through their work experience and project descriptions. Their role as an MIS Executive involved root cause analysis and cross-functional collaboration, which are valuable for operational fit. However, the depth of these soft skills would need further validation in an interview.