Data Analyst Power Bi

Summary

Abdul Shaik Data Analyst

************@**************.*** 203-***-**** Connecticut, USA

Analytical and detail-oriented Data Analyst with 4+ years of experience in transforming complex datasets into actionable insights across healthcare, finance, and operations domains. Skilled in SQL, Python, and advanced BI tools (Power BI, Tableau) to deliver interactive dashboards, KPIs, and predictive analytics that support data-driven decision-making. Proven ability to partner with cross-functional teams, ensure data quality and governance, and design scalable reporting solutions aligned with business objectives. Technical Skills

• SQL & Relational Databases – Writing complex queries, stored procedures, and optimizing large datasets

• Python (Pandas, NumPy, Matplotlib, SciPy) – Data cleaning, wrangling, automation, and statistical analysis

• Data Visualization (Power BI, Tableau) – Designing interactive dashboards, KPIs, and executive-level reporting

• Data Quality & Governance – Implementing validation rules, ensuring accuracy, and maintaining data integrity

• Statistical Analysis & Forecasting – Regression models, hypothesis testing, trend analysis, and predictive insights

• ETL & Reporting Automation – Building repeatable workflows, pipelines, and scalable reporting systems

• Cloud Data Platforms (AWS, Azure, GCP) – Data integration, warehousing, and deployment of analytics solutions

• Business Intelligence & KPIs – Developing performance metrics to drive operational and strategic decisions

• Data Storytelling & Communication – Translating complex data into actionable insights for stakeholders Professional Experience

Data Analyst, SCH Services Inc 05/2025 – Present Connecticut, USA

• Designed and deployed Power BI dashboards to monitor IT performance, operations metrics, and cost optimization.

• Automated SQL/Python ETL workflows, reducing reporting effort by 40% and improving pipeline efficiency.

• Partnered with IT teams and business stakeholders to deliver analytics aligned with compliance and governance needs.

• Built predictive models for system usage, incident trends, and resource capacity planning.

• Implemented data validation checks ensuring 98% accuracy across enterprise databases and ITSM datasets.

• Migrated reporting workflows to Azure cloud, improving scalability, data accessibility, and system performance.

• Presented actionable insights to executives through interactive dashboards and data storytelling.

• Developed self-service reporting solutions, enabling IT teams to track KPIs independently and support audit readiness.

• Enhanced monitoring of IT infrastructure by integrating real-time alerts and performance logs into reporting dashboards Data Analyst, Wipro 12/2020 – 06/2023 Bengaluru, India

• Developed interactive Tableau dashboards for financial risk and fraud detection teams.

• Wrote optimized SQL queries to handle datasets exceeding 10M+ records.

• Collaborated with compliance teams to ensure data governance standards were met.

• Built Python automation scripts to streamline monthly reconciliations, reducing cycle time by 30%.

• Conducted statistical forecasting for customer behavior and transaction patterns.

• Created ad-hoc reports for senior management to support decision-making.

• Partnered with engineering teams to integrate BI tools into core applications.

• Enhanced data pipelines to reduce latency and improve real-time reporting. Data Analyst Intern, Tata Consultancy Services 02/2020 – 11/2020 Ahmedabad, India

• Assisted in data cleaning and preprocessing of hospital EMR data using Python (Pandas/NumPy).

• Supported senior analysts in building Power BI reports on patient satisfaction and operational efficiency.

• Performed SQL-based validation of healthcare claims datasets before reporting.

• Ensured data integrity through reconciliation and quality control checks.

• Collaborated with cross-functional teams to improve healthcare dashboards for clinical teams.

• Participated in UAT testing during analytics tool implementation.

• Documented processes and maintained data dictionaries to improve governance.

• Assisted in developing predictive KPI’s for patient length of stay analysis. Education

Master of Science in Data Science 08/2023 – 03/2025 Sacred Heart University, Fairfield, CT

Bachelor of Computer Science 06/2017 – 04/2020

Andhra University, Vishakhapatnam

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