I hold a Master’s degree in Business Analytics and have over 3 years of analyst experience. My proficiency in Python, SQL, Tableau, and Excel enables me to extract, analyze, and visualize complex datasets effectively. Additionally, my experience in statistical analysis, predictive modeling, and market research allows me to provide valuable insights and actionable recommendations.
In previous roles, I have demonstrated independent thinking, a collaborative working style, and the ability to communicate technical information clearly. I am highly adaptable, have strong organizational skills, and can handle multiple responsibilities efficiently.
Work & Experience
Successfully delivered data analysis and visualization projects for clients, meeting their specific requirements and exceeding expectations. Utilized Python (pandas, numPy) to conduct data cleaning and preprocessing, created visually compelling dashboards and reports using Tableau to present findings and recommendations on public forums and online challenges. Leveraged Data With Danny's SQL case studies to enhance SQL proficiency, enabling effective analysis and manipulation of large datasets for actionable insights and data-driven decision-making. Achieved top 5 ranking in Data Science Hackathon organized by IIT Guwahati Techniche fest through effective utilization of analytical, critical thinking, and problem-solving skills.
Performed statistical and predictive analysis to uncover trends, patterns and identify customer segments with the highest conversion rates, leading to a 10% increase in marketing ROI. Executed robust modeling and sensitivity analysis using Python, pandas, scikit-learn, and machine learning models, and increased customer churn prediction accuracy by 15%, enabling proactive retention strategies. Defined and presented key performance indicators and metrics, and enhanced presentations using Tableau to drive business results and provide strategic recommendations, resulting in a 20% improvement in campaign optimization. Evangelized data-driven insights to team and project managers, contributing to cross-functional team deliverables and ensuring alignment with project objectives.
Accrued $2M in new business deals through effective customer profiling and lead generation techniques. Designed Excel VBA macros for lead generation across multiple business verticals, enhancing sales leads and boosting conversion rates for signed CDAs and contract closures. Played an integral role in defining and specifying data requirements, to contribute to the development and documentation process which led to 20% increase in cross-selling among business units.
Collaborated with cross-functional teams to provide operational, marketing, quality control support, troubleshooting and resolving customer issues resulting from process deviations. Utilized Excel's pivot tables, charts, and data filtering to analyze market data, to analyze VOC emissions data and develop a low-cost wallpaper adhesive, reducing VOC levels by 75%. Enhanced productivity by 25% for a high-volume brand through data-driven analysis using Excel's regression and trend analysis functions, resulting in an eco-friendly adhesive formulation