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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
Results-driven Data Science graduate with hands-on expertise in SQL, Python, Power BI, and Tableau, delivering data-driven insights that support strategic business decisions. Proven ability to build interactive dashboards, automate reporting pipelines, and perform end-to-end exploratory data analysis across diverse domains. Adept at translating complex datasets into actionable KPIs for stakeholder reporting. Seeking to leverage strong analytical acumen and technical proficiency in a Data Analyst, BI Analyst, or Reporting Analyst role within a global organization.
Sree Narayana Guru College of Commerce
Bachelor of Science · Data Science
August 1, 2023 – June 30, 2026
Decoding Data: Business Insights & Impact Through Analytics
January 1, 2026 – June 1, 2026
Conducted end-to-end data analysis across structured business datasets, performing rigorous data cleaning, transformation, and validation to ensure 100% data integrity prior to reporting. Developed interactive Power BI dashboards tracking 10+ KPIs, enabling real-time visibility into business performance metrics and supporting data-driven decision-making for stakeholders. Automated recurring reporting workflows using Python and SQL, reducing manual effort by ~40% and improving report turnaround time; delivered actionable findings through structured presentations.
COVID-19 Global Analytics Dashboard
January 1, 2026 – June 1, 2026
Designed and deployed a multi-page interactive dashboard visualizing global COVID-19 trends across 50+ countries, including case growth rates, recovery trajectories, and comparative mortality analytics. Integrated dynamic slicers, drill-through filters, and time-intelligence functions to enable self-service exploration of epidemiological data by non-technical stakeholders.
SQL Data Reporting & Analytics Engine
January 1, 2026 – June 1, 2026
Engineered a suite of 20+ complex SQL queries leveraging multi-table JOINs, window functions, CTEs, subqueries, and aggregation logic to extract business intelligence from large relational datasets. Created reusable SQL views and stored reporting templates to standardize data extraction, improving query efficiency by ~35% and enabling consistent, auditable analytics outputs.
Netflix Content Intelligence - Exploratory Data Analysis
January 1, 2026 – June 1, 2026
Analyzed a dataset of 8,800+ Netflix titles to uncover content distribution patterns, genre trends, release seasonality, and catalog growth - delivering insights applicable to content strategy and market analysis. Developed 15+ data visualizations communicating audience insights and platform trends; identified a 40% increase in original content production over a 5-year period.
IntelliNews – AI-Powered Adaptive News Aggregator
January 1, 2026 – June 1, 2026
Architected a recommendation engine processing 10,000+ news articles, applying NLP-based content classification and collaborative filtering to deliver personalized content feeds with 85%+ relevance accuracy. Designed a scalable data pipeline for real-time article ingestion, deduplication, and categorization - demonstrating applied skills in data engineering, structured data management, and analytics.
Automated Data Analysis Tool
January 1, 2026 – June 1, 2026
Engineered a web-based application using Python (Pandas, NumPy) and Flask to fully automate data cleaning, exploratory analysis, and visualization for Excel/CSV datasets — eliminating manual pre-processing overhead for non-technical users. Implemented end-to-end automated EDA pipeline covering trend analysis, correlation detection, and anomaly identification, generating visual reports (charts, summary tables) to surface data patterns instantly. Designed reusable Python automation scripts that reduced day-to-day manual data analysis effort significantly, enabling users to extract actionable insights from raw datasets without technical intervention.
Data Visualization: Power BI & Tableau
Unknown
June 1, 2026 – Present
Microsoft Excel Advanced
Unknown
June 1, 2026 – Present
Python for Data Analysis Bootcamp
Unknown
June 1, 2026 – Present
PostgreSQL Basics & SQL Fundamentals
Unknown
June 1, 2026 – Present
Business Analytics Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive and self-driven approach to learning and applying data analysis skills across diverse domains (business, public health, media). The focus on creating tools for non-technical users and automating workflows indicates a collaborative and efficiency-oriented mindset. The breadth of skills and project types suggests adaptability and a willingness to tackle varied challenges, which aligns well with a dynamic team environment. However, the lack of professional experience means cultural fit in a corporate setting is largely inferred from academic work.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, analytical thinking, and the ability to communicate complex data insights to non-technical stakeholders. The automation projects suggest an operational mindset focused on efficiency. However, without direct work experience, the ability to navigate real-world team dynamics, stress handling, and direct stakeholder management in a corporate setting remains to be fully assessed.