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Data Analyst with 2+ years in data analytics, visualization, and ETL processes.
Dynamic and detail-oriented Data Analyst with a strong focus on leveraging data-driven insights to enhance business performance. Expertise in data analysis, visualization, and ETL processes across diverse industries, aiming to contribute to innovative data solutions. Data Analyst with 2.5+ years of experience transforming complex datasets into actionable insights through data analytics, visualization, and automated reporting, enabling faster and more informed business decisions. Proven expertise in developing ETL pipelines, data transformation workflows, and BI dashboards using Python, SQL, and Power BI, improving data quality, accessibility, and operational efficiency. Skilled in identifying trends, performance gaps, and optimization opportunities through KPI analysis, business intelligence, and data storytelling, supporting strategic decision-making across functions. Strong background in data quality management, process automation, and analytical problem-solving, reducing manual effort and enhancing reporting accuracy and reliability. Adept at delivering scalable analytics solutions by combining technical expertise, business acumen, advanced SQL, BI tools, and Al-enabled productivity solutions to drive measurable business outcomes.
MGM's College of Engineering and Technology, Nanded
Bachelor of Technology (B.Tech) · Electronics & Telecommunications Engineering
August 1, 2018 – June 30, 2022
Sakon
Data Analyst
October 1, 2023 – March 1, 2026
India
Retail360 - Sales Analytics Dashboard
May 1, 2026 – June 1, 2026
Processed and transformed 9,994 records in SQL Server using CTEs, window functions, and data cleansing techniques to create analysis-ready datasets. Designed RFM customer segmentation in SQL and developed a star-schema data model in Power BI with live SQL connectivity. Built a 3-page interactive dashboard featuring key KPIs such as YTD Revenue, Growth %, and Profit Margin %, supported by DAX measures, slicers, and drill-through analysis. Uncovered actionable insights, highlighting the West region as the leading revenue contributor and the Technology category as significantly more profitable than Furniture.
View ProjectHR Attrition & Workforce Insights Dashboard
April 1, 2026 – May 1, 2026
Developed an interactive HR analytics dashboard using Power BI and Excel to analyze workforce trends and support employee retention strategies across 1,470 employee records. Performed end-to-end data cleansing and transformation, creating KPI-driven metrics such as Attrition Rate, Tenure Band, Salary Band, and Workforce Segmentation. Leveraged DAX measures, drill-through capabilities, and dynamic visualizations to uncover department-wise and tenure-based attrition patterns for leadership reporting. Identified critical workforce risks, including 16.1% overall attrition, higher attrition among overtime employees, and elevated turnover rates within sales functions.
View ProjectE-Commerce Supply Chain Analytics Pipeline
March 1, 2026 – April 1, 2026
Built an end-to-end supply chain analytics solution using Python and SQL to process and analyze over 100,000 e-commerce order records. Automated ETL workflows using Pandas and NumPy, integrating data from multiple sources into SQLite and reducing data preparation effort by 60%. Developed advanced SQL-based analytics using CTEs, Window Functions, CASE statements, and Joins to measure delivery performance, revenue trends, and seller efficiency. Generated actionable insights on regional delivery delays and operational bottlenecks, enabling faster business decisions through automated reporting outputs.
View ProjectThe Complete SQL Bootcamp: Go from Zero to Hero
Udemy
June 1, 2025 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2024 – Present
Business Analytics with Excel
Simplilearn
August 1, 2023 – Present
Python for Beginners
Udemy
May 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including retail sales, e-commerce supply chain, and HR analytics, demonstrates adaptability and a broad interest in applying data analysis across different business domains. Their continuous pursuit of certifications (Google Data Analytics, SQL, Python, Excel) indicates a strong commitment to learning and professional development, which is a positive cultural fit for growth-oriented environments. The focus on delivering measurable business outcomes and efficiency improvements aligns with a results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills, attention to detail in data cleansing and transformation, and a proactive approach to automating tasks. Their experience in presenting actionable insights to stakeholders indicates good communication and business acumen. The project descriptions highlight an ability to work independently on end-to-end solutions, which aligns well with operational efficiency.