About Me
Data Analyst proficient in Python, SQL, Power BI, Pandas, NumPy, and data visualization. Skilled in data cleaning, exploratory data analysis (EDA), KPI reporting, and dashboard development. Seeking to contribute analytical expertise to support business intelligence and data-driven growth.
Skills & Technologies
Work Experience
Assistant Professor
Worked as an Assistant Professor, responsible for teaching, practical sessions, student assessment, and academic activities. Trained and mentored students for campus placement preparation. Worked on a research paper titled 'The Future Scope of Artificial Intelligence: Opportunities, Challenges, and Impacts on Society,' exploring emerging opportunities, challenges, and societal impacts of AI.
Backend Developer
Developed and maintained backend applications using Node.js and Express.js. Worked with MongoDB and MySQL for database design, queries, and data management. Developed and integrated REST APIs and third-party services for application functionality.
Projects
Ecommerce-Sales-Analysis
Analyzed e-commerce sales data using SQL and Excel to identify sales, profit, product, category, regional, and payment-method trends. Built an interactive Excel dashboard with KPI cards, Pivot Tables, and charts to present key business insights.
Manufacturing Operations Performance Analytics
Developed an interactive Power BI dashboard to analyze 20,000 production records, tracking output achievement, downtime, defect rates, and machine performance. Delivered data-driven insights that identified production shortfalls, maintenance inefficiencies, and night-shift performance gaps to support operational improvements.
Logistics Delivery Delay Analysis
Performed data cleaning, feature engineering, EDA, and visualization on 6,000 logistics records using Python, Pandas, NumPy, and Matplotlib. Performed feature engineering and exploratory data analysis to identify factors affecting delivery performance and operational costs.