Data Analyst

ACl DIgital

1. Developed and deployed 20+ interactive dashboards in Tableau and Power BI, improving cross-departmental visibility and driving a 15% increase in data-driven decisions.
2. Spearheaded data wrangling initiatives using Python (Pandas, NumPy) to process 2TB of raw data, improving data quality and accuracy by 30%.
3. Automated SQL queries for data extraction and transformation, reducing manual workload by 50%, saving 20+ hours weekly.
4. Collaborated with engineers and business analysts to gather requirements, ensuring timely and budget-friendly delivery of data solutions.
5. Implemented Python scripts to automate the data science lifecycle, increasing team efficiency by 30%.

Data Analyst

CueTech Systems

1. Created 15+ interactive dashboards using Tableau and Power BI to monitor KPIs, enhancing business performance visibility by 40%.
2. Engineered a Python-based data preprocessing workflow, leveraging machine learning models for customer insights, which contributed to a 25% boost in retention rates.
3. Optimized data extraction using SQL Server, reducing processing time by 50%, leading to faster, more reliable reporting.
4. Led data cleaning and statistical modeling of large structured and unstructured datasets using Python libraries (Pandas, NumPy, Matplotlib, SciPy).
5. Played a key role in designing data models for warehousing and improving ETL processes, facilitating faster data access and storage efficiency.

Central Michigan University

Information Systems

S.V Engineering College for WomeN

Computer Science