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Data Analyst with less than a year in SQL, Python & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with strong skills in SQL, Python, Excel, Power BI, and Tableau. Experienced in data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, statistical analysis, and transforming data into actionable business insights. Strong communication, problem-solving, and stakeholder reporting abilities.
MVSR Engineering College, Hyderabad
B.E. · Computer Science Engineering (IoT & Cybersecurity)
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya, Hyderabad
Class XII · CBSE
N/A – May 31, 2022
Kendriya Vidyalaya, Hyderabad
Class X · CBSE
N/A – May 31, 2020
Retail Sales Analytics Dashboard
June 1, 2026 – Present
Cleaned and analyzed retail sales data using SQL and Excel. Built interactive dashboards to track revenue, sales performance, and KPIs. Identified customer purchasing trends and business insights.
E-Commerce Product Analytics Dashboard
June 1, 2026 – Present
Analyzed sales and customer behavior data to identify revenue trends. Developed KPI dashboards and business reports. Performed SQL-based data cleaning, transformation, and analysis.
HR Analytics Dashboard
June 1, 2026 – Present
Analyzed workforce data to identify employee attrition and performance trends. Designed KPI-driven dashboards for workforce planning and retention analysis.
Data Analytics Job Simulation
Deloitte (Forage)
June 1, 2026 – Present
IBM Data Science 101
IBM
June 1, 2026 – Present
IBM Data Science Methodology
IBM
June 1, 2026 – Present
IBM Data Science Tools
IBM
June 1, 2026 – Present
AWS Academy Cloud Foundations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering (IoT & Cybersecurity) combined with data analytics certifications and projects suggests a proactive and learning-oriented individual. The diversity of academic projects (HR, Retail, E-commerce) indicates adaptability and a broad interest in applying data analysis across different business contexts. However, the lack of professional experience or diverse extracurricular activities limits the depth of assessment for cultural fit beyond academic and self-learning initiatives.
Soft Skills & Operational Fit
The candidate lists strong communication, problem-solving, and stakeholder reporting abilities, which are crucial for a Data Analyst role. The academic projects demonstrate an understanding of translating data into business insights, indicating a good operational fit for roles requiring data storytelling and collaboration.