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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
Data Analyst with hands-on experience in SQL, Python, Power BI, and Tableau. Proficient in data cleaning, exploratory data analysis (EDA), dashboard development, report automation, and predictive modelling. Demonstrated ability to extract actionable business insights from large datasets and communicate findings to both technical and non-technical stakeholders. Experienced in ETL processes, data modelling, and KPI tracking. Certified in data analytics, Power BI, and machine learning. Eager to drive data-driven decision-making in a fast-paced analytics environment.
Vaageswari College of Engineering
Bachelor of Technology · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Alphores Junior College, TSBIE
Intermediate (MPC)
June 1, 2019 – May 31, 2021
SR Digi School
Secondary School Certificate
N/A – May 31, 2019
Netflix Data Analysis
January 1, 2025 – June 1, 2026
Cleaned, processed, and performed exploratory data analysis (EDA) on 8,000+ Netflix records using Python (Pandas, Matplotlib, Seaborn). Built statistical visualizations including boxplots, histograms, and heatmaps to identify trends in content type, release year, and country of origin. Summarized insights on content distribution patterns to support content strategy recommendations.
Zomato Restaurant Data Analysis
January 1, 2025 – June 1, 2026
Analyzed a large restaurant dataset to uncover customer preferences, ordering behavior, and pricing trends across restaurant categories. Conducted EDA comparing online vs. offline ordering behavior; identified that online orders consistently received higher ratings using box plot analysis. Used aggregation techniques to determine the most preferred restaurant types and price points; found INR 300 as the most common cost range for couples. Created heatmaps and cross-tabulations to analyze order mode preferences across restaurant types, delivering actionable insights on dining patterns.
Super Store Sales Dashboard
January 1, 2025 – June 1, 2026
Designed and deployed an interactive Power BI dashboard to track KPIs including revenue, order volume, and regional performance across 12+ months of transactional data. Applied time series analysis to identify seasonal sales trends and generate accurate sales forecasts, improving planning accuracy. Automated recurring BI reports, reducing manual reporting effort and enabling data-driven decision-making for stakeholders. Delivered actionable business insights through data visualization, supporting strategic planning and performance monitoring.
Power BI
Pragmatic Works
June 1, 2026 – Present
Machine Learning
NASSCOM
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Introduction to Tableau
SkillsEDGE
June 1, 2026 – Present
Introduction to Generative AI
Amazon Web Services (AWS)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse data analysis scenarios (sales, entertainment, food industry), indicating adaptability. The pursuit of multiple certifications, including Generative AI and Machine Learning, shows a proactive and continuous learning mindset, which aligns well with a culture of innovation and growth. However, the lack of professional experience and focus solely on academic projects might require additional mentorship to integrate into a corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication, critical thinking, problem-solving, attention to detail, and self-motivation. Project descriptions indicate an ability to deliver actionable insights and support strategic planning, suggesting a good operational fit for roles requiring data-driven decision-making. The mention of cross-functional collaboration and working under tight deadlines further supports operational readiness.