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Data Analyst with less than a year in SQL, Python, Power BI, and Tableau.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience collecting, analyzing, and interpreting complex datasets to extract actionable insights. Proficient in SQL, Python, statistical analysis, data modeling, and data visualization using Power BI and Tableau. Skilled at building reports and dashboards that support business decision-making, and collaborating with cross-functional teams to identify trends and deliver data-driven recommendations. Strong communicator able to convey findings clearly to both technical and non-technical stakeholders. Immediate joiner, comfortable working independently in a remote environment.
Pace Institute of Technology & Sciences
Bachelor of Technology · Electronics & Communications Engineering
N/A – June 30, 2025
HR-Employee Attrition Analysis
June 1, 2026 – Present
Collected, analyzed, and interpreted 1,000+ employee records using Python and SQL to identify key factors driving an 18% attrition rate, delivering actionable insights to improve HR decision-making. Designed clear and compelling visualizations and a Tableau/Power BI dashboard with 10+ KPIs to identify trends (attrition by department, role, tenure), reducing manual reporting time by 30%. Performed data cleaning and transformation on 5+ datasets using Pandas, improving data accuracy by 25% and ensuring reliable, analysis-ready datasets. Prepared standardized SQL-based reports and automated recurring data pipelines, saving 5 hours per week and enabling the cross-functional team to focus on complex analytical tasks.
Sales Data Analysis Dashboard
June 1, 2026 – Present
Collected and transformed raw sales data using optimized SQL queries, performing data cleaning (null handling, deduplication) and building data models to aggregate KPIs by region and product category. Built compelling data visualizations and an interactive Power BI dashboard with KPIs reporting (revenue, growth rate, top products), enabling stakeholders to filter by time period and region to support business decision-making. Used SQL queries to extract and manipulate data from multiple tables for business insights. Identified top-selling products and underperforming regions, helping optimize sales strategy.
View ProjectData Analytics Certification
Naresh IT
June 1, 2026 – Present
Problem-Solving Excellence: Successfully solved 100+ SQL queries on HackerRank and CodeChef platforms using MySQL.
Unknown
June 1, 2026 – Present
Solved some Excel problems on NextLeap platform.
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills to solve business problems (sales, HR attrition). The variety of tools and techniques used (SQL, Python, Power BI, Tableau, Excel) indicates a broad interest in the data analytics domain. The self-driven nature of personal projects and certifications suggests a motivated individual. However, the lack of professional experience and team-based project descriptions limits the assessment of collaboration and adaptability in a corporate culture.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, attention to detail, and communication of insights to stakeholders. These soft skills are crucial for a Data Analyst role, indicating a good operational fit. The candidate also mentions being an 'immediate joiner' and 'comfortable working independently in a remote environment', which suggests flexibility and self-sufficiency.