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Data Analyst with less than a year in Python, SQL, Power BI, and Excel for data analysis and visuali
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Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in Python, SQL (MySQL), Power BI, and Excel for data cleaning, data wrangling, statistical analysis, and data visualization. Skilled in ETL processes, Data Warehousing, and Dashboard Development to deliver actionable Business Intelligence solutions. Proficient in Pandas, NumPy, Matplotlib, and Seaborn for exploratory data analysis (EDA), predictive analytics, and KPI reporting. Experienced in building interactive dashboards, data modeling, and deriving insights from large datasets to support data-driven decision-making and business strategy.
Sunder Deep Engineering College
Master of Computer Applications
August 1, 2022 – June 30, 2024
Deen Dayal Upadhyaya Gorakhpur University
Bachelor of Science
August 1, 2018 – June 30, 2021
Speech Recognition System
January 1, 2026 – June 1, 2026
Built real-time speech-to-text system using Python, SpeechRecognition, and PyAudio libraries with NLP-based noise filtering and audio stream processing. Achieved 90%+ recognition accuracy in high-noise environments through signal preprocessing, feature extraction, and model optimization techniques. Integrated voice command functionality to enable hands-free operation, reducing manual keyboard input by 40% and enhancing user experience. Documented system architecture, test scenarios, and performance benchmarks to validate reliability across diverse audio environments.
Blinkit Sales Dashboard
January 1, 2026 – June 1, 2026
Developed interactive Power BI dashboard with DAX measures, KPIs, and slicers for real-time sales tracking, inventory monitoring, and customer behavior analysis. Applied ETL processes and data modeling to integrate multiple data sources into a unified Business Intelligence reporting view for stakeholders. Automated data refresh pipeline using scheduled queries, reducing manual analysis time by 25% and improving reporting accuracy. Implemented drill-through reports and custom visuals to enable root-cause analysis and trend identification across product categories.
Pizza Sales Analysis
January 1, 2026 – June 1, 2026
Designed normalized MySQL relational database schema and wrote advanced queries using JOINs, subqueries, window functions, and aggregations. Performed in-depth data analysis to identify top-selling items, seasonal demand trends, and customer demographic patterns for business reporting. Generated automated SQL reports and data summaries to support data-driven marketing decisions, contributing to a 15% increase in targeted promotions. Optimized query performance through indexing and query restructuring, reducing report generation time significantly on large datasets.
HR Attrition Analysis Dashboard
January 1, 2026 – June 1, 2026
Built comprehensive Excel HR dashboard using PivotTables, VLOOKUP, INDEX-MATCH, and conditional formatting for real-time workforce KPI visualization. Performed data cleaning, deduplication, and transformation on raw HR datasets to ensure accuracy and consistency across all metrics. Analyzed hiring trends, department-wise attrition patterns, and diversity KPIs to provide actionable workforce insights to HR leadership. Delivered data-driven recommendations that improved HR retention strategy, contributing to a 10% reduction in employee attrition rate.
Data Analysis Training
NASSCOM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of applications for data analysis, from sales and HR to speech recognition, indicating adaptability and a broad interest in applying data skills. The personal nature of all projects suggests self-motivation and initiative. The target role of 'Data Analyst' aligns well with the skills and projects presented. The breadth of tools and techniques used (Python, SQL, Power BI, Excel, ETL, data warehousing) indicates a willingness to learn and apply various technologies, which is a positive for cultural fit in a dynamic environment. However, the lack of team-based projects or professional experience limits the assessment of collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis tasks, from data acquisition and cleaning to visualization and reporting. The focus on delivering actionable insights and improving business metrics (e.g., reducing analysis time, increasing promotions, reducing attrition) suggests a results-oriented approach. The Speech Recognition System project also highlights problem-solving and optimization skills. However, without direct work experience, the candidate's operational fit in a team environment and stress handling cannot be fully assessed.