MIS Executive | Data Analyst at Infoaccords Technologies (2025-08 – Present)
Tools: Advanced Excel, SQL, Power BI, Google Sheets, Web ERP, Python (Pandas, NumPy)
- Extracted and consolidated operational data from Web ERP and IndiaMART reporting systems to prepare MIS reports, KPI dashboards, and business performance analysis.
- Analyzed operational, sales, and productivity data to generate business insights, contributing to 30% faster reporting and decision-making.
- Developed and maintained 30+ daily, weekly, and monthly MIS reports using Advanced Excel and Google Sheets, improving reporting accuracy by 25%.
- Performed data cleaning, validation, and transformation across 20+ business datasets, reducing data inconsistencies by 30%.
- Developed 25+ SQL queries using JOINs, CTEs, Window Functions, Aggregate Functions, CASE statements, and Subqueries to analyze employee productivity, sales performance, and operational KPIs.
- Designed interactive Power BI dashboards for KPI tracking, sales performance analysis, employee productivity monitoring, and business reporting, enabling management to make data-driven decisions.
- Automated repetitive reporting tasks using Advanced Excel, Power Query, SQL, and Google Sheets, reducing manual effort by 40%.
- Collaborated with cross-functional teams to deliver stakeholder reporting and actionable performance insights, supporting business planning and operational improvements.
- Ensured data accuracy and reporting consistency through validation checks, standardized reporting templates, and process optimization.
Data Science & Machine Learning Intern at Netmax Technologies Pvt. Ltd.
Tools: Python, Pandas, Scikit-learn, Matplotlib, Seaborn, Excel, SQL, PowerPoint
- Built and evaluated machine learning models (Linear Regression, KNN) using Scikit-learn
- Performed EDA and feature engineering on structured datasets to extract meaningful trends.
- Developed a Book Recommendation System using cosine similarity and TF-IDF, automating 90% of book selection logic.
- Created insightful visualizations using Matplotlib and Seaborn, enhancing interpretation of model outputs.
- Reduced manual filtering effort by 80% through automated prediction-based suggestions.
