Shaik Shaffi
Results-driven professional with 4+ years of experience in customer service, now transitioning into data analytics with a strong foundation in Power BI, Excel, and data visualization. Proven ability to interpret customer behavior, identify trends, and deliver actionable insights that enhance service quality and operational efficiency. Skilled in SQL, Python, storytelling with data, cross-functional collaboration, and leveraging analytical tools to solve real-world business problems. Passionate about turning raw data into meaningful strategies that drive performance and customer satisfaction.
Work Experience
- Developed interactive dashboards in Power BI within 3 months, enhancing cross-departmental decision-making by visualizing key performance indicators.
- Developed and published interactive dashboards in Power BI within 3 months, utilizing SQL for data extraction and ETL processes to ensure accurate KPI reporting.
- Collaborated on an ongoing data analytics project focused on job market trends for data analyst roles, leveraging real-world datasets with over 2,000 entries.
- Utilized Python libraries including NumPy, Pandas, and Matplotlib for data cleaning, transformation, and visualization.
- Conducted exploratory data analysis (EDA) to uncover patterns in salary estimates, company ratings, and job descriptions across industries and locations.
- Built interactive dashboards to visualize salary trends, company size distributions, and sector-wise job availability using tools like Plotly and Seaborn.
- Developed and deployed interactive dashboards within 3 months, utilizing Power BI to visualize KPIs, enhancing decision-making across departments.
- Built interactive dashboards in Power BI Desktop (authoring .pbix files) to visualize Twitter analytics and KPIs.
- Designed data models and relationships in Power BI to support efficient analysis and reporting.
- Developed calculated measures and time-intelligence metrics using DAX to power dashboard visualizations.
- Performed ETL and data transformations using Power Query (M) to clean and shape tweet datasets.
- Designed user-focused dashboards and visualizations to surface trends, engagement metrics, and insights.
- Prepared and cleaned datasets in Excel (Tweet.xlsx) for ingestion into Power BI.
- Performed data cleaning, normalization, and preprocessing to ensure accurate analytics and reporting.
- Collected and aggregated Twitter data via the Twitter API / data extraction tools for analysis.
- Defined and tracked key performance indicators (KPIs) for Twitter engagement and growth.
- Translated raw social data into actionable insights and recommendations through exploratory analysis.
- Used Git and GitHub for version control and project organization.
- Documented dataset and dashboard usage in repository README to support stakeholder understanding.
- Published reports to Power BI Service and configured access for stakeholders.
- Managed and analyzed data from 70+ customer calls daily to improve service efficiency.
- Implemented and trained new employees on customer service processes using data-driven insights.
- Identified customer behavior patterns to enhance retention strategies.
- Managed high-volume incoming, missed, and outbound calls, ensuring accurate data capture and client profiling.
- Performed lead generation and cold calling, contributing to data-driven prospecting and pipeline development.
- Collected, validated, and structured client data to support eligibility analysis and decision-making processes.
- Collaborated with cross-functional teams and branch offices to align client needs with operational workflow.
- Conducted data analysis on prospect profiles to assess visa eligibility, applying rule-based logic and compliance criteria.
- Executed real-time form filling and issue documentation during calls, enhancing data accuracy and resolution tracking.
- Interpreted customer queries and redirected them to domain-specific consultants, optimizing process efficiency.
- Handled customer queries and analyzed feedback to improve service quality.
- Maintained customer records, tracking trends for business insights.
Projects
Developed advanced analytics and interactive dashboards to visualize tweet engagement and interaction patterns, implementing time-based and multi-criteria filtering for data integrity. Specifically designed scatter and clustered bar charts restricted by tweet metadata and time windows, enabling stakeholder insights into media engagement rates and interaction breakdowns for targeted tweet categories based on reply count, engagement rate, tweet date parity, and word count thresholds.