Data Analyst Power Bi

Badrinath Sarap Data Analyst

Albany, NY +1-838-***-**** **************@*****.*** LinkedIn

SUMMARY

Data Analyst with over 3 years of experience delivering actionable insights through structured analysis, reporting, and data validation. Skilled in extracting and analyzing large datasets using SQL and Python to support performance tracking, process optimization, and decision-making. Experienced in creating interactive dashboards, automating recurring reports, and ensuring data accuracy through systematic reconciliation. Proficient in using visualization tools like Tableau and Power BI to communicate findings effectively. Demonstrated ability to collaborate across technical and non-technical teams, contributing to measurable improvements in reporting accuracy, operational efficiency, and issue resolution timelines across diverse projects. TECHNICAL SKILLS

Data Analytics & Statistics: Exploratory Data Analysis (EDA), Data Cleaning, Descriptive Statistics, Anomaly Detection, Trend Analysis, Hypothesis Testing, Python (Pandas, NumPy, Matplotlib), SQL BI & Data Visualization: Tableau, Power BI, Microsoft Excel (Pivot Tables, Charts), Report Automation, Dashboard Development, Storytelling with Data

ETL & Data Engineering: ETL Pipeline Support, Data Validation, Data Mapping, Apache Airflow (Basic Workflow Monitoring), Manual Data Reconciliation, Process Documentation

Cloud Platforms & Tools: AWS (EC2, S3), Microsoft Azure (Blob Storage), Docker (Container Monitoring), Cloud-based Reporting (Read/Write Access for Reporting Tools)

Data Management & Governance: Data Quality Assurance, Data Validation, Compliance Monitoring (HIPAA & Internal Policies), KPI Definition, Data Documentation, Audit Support Version Control & Collaboration: Git, GitHub, Jupyter Notebook, Visual Studio Code, Postman, Agile (Scrum Participation), Cross-functional Communication

PROFESSIONAL EXPERIENCE

Data Analyst Intern Dell Technologies USA Dec 2024 – May 2025

Analyzed 1.2M+ customer support cases, identifying recurring issue clusters and reducing incident frequency by 16% across 3 product categories through root cause analysis and escalation workflow changes.

Created SQL-powered dashboards tracking delivery KPIs for 5 regional support teams, enabling leaders to resolve SLA breaches 30% faster by flagging threshold-crossing tickets in real time.

Collaborated with data engineers to validate pipeline outputs, uncovering 200+ quality errors that improved daily report integrity and reduced data refresh-related delays during monthly reviews.

Delivered weekly reports translating operational metrics into corrective actions, driving measurable improvements in resolution times and CSAT scores across hardware and services business lines.

Conducted trend analysis using Python libraries to explore relationships between complaint frequency and firmware updates across 12 products, enabling preventive fixes in support documentation.

Automated manual data pulls for ad-hoc business queries, reducing analyst workload by 8+ hours per week and standardizing recurring report delivery through scheduled scripts. Data Analyst Hexaware Technologies India Oct 2021 – Jul 2023

Standardized and updated over 250 legacy dashboards used across departments, reducing duplicated KPIs and improving quarterly reporting accuracy by 34% within business unit performance reviews.

Reconciled data between finance and supply systems, identifying mismatches exceeding $1.1M and collaborating with operations to correct discrepancies before internal audits and monthly report finalization.

Integrated third-party industry trend datasets with internal product metrics, allowing stakeholders to anticipate regional demand shifts 14 days earlier and adjust promotion plans accordingly.

Built structured repositories to centralize fragmented datasets across 5 divisions, decreasing lookup times and analyst dependency by 43% and improving collaboration on cross-functional requests.

Compared year-long retention metrics across 4 launch segments, helping marketing refine targeting strategy and discontinue underperforming campaigns based on user engagement decline patterns.

Worked with QA analysts to trace and correct 170+ reporting logic errors, ensuring board-level dashboards reflected true revenue trends and eliminated prior-period variance misstatements. Data Analyst Citius Tech India Sep 2020 – Sep 2021

Processed 4TB+ claim records to analyze treatment costs and outcome cycles, identifying optimization opportunities that reduced cost-per-case by 28% for hospitals across multiple locations.

Created visual timelines comparing treatment stages across patient cohorts, enabling clients to reduce average discharge times by 3.7 hours using updated care coordination metrics.

Developed internal scripts to audit HIPAA compliance fields across datasets, uncovering 97 policy deviations and resolving them before scheduled third-party compliance verification.

Partnered with BI developers to modernize outdated satisfaction metrics, increasing correlation with survey data by 22% and aligning client reporting more closely to patient feedback.

Built 15+ segmentation models that grouped claims by region and treatment type, helping clients allocate cost benchmarks more effectively across insurer-funded service categories.

Enhanced monthly report accuracy by over 95% through iterative cross-validation, manually reconciling SQL extracts with raw data to eliminate sampling inconsistencies before stakeholder reviews. EDUCATION

Masters in Computer Science May 2025

SUNY ALBANY, ALBANY, NY.

Bachelors in Computer Science April 2022

Anurag Group of Institutions, Hyderabad, Telangana, IN

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