Data Analyst Power Bi

Naveen Kumar Vankudoth

Data Analyst

******************@*****.*** +1-940-***-**** Naveen Kumar_Linkedin WORK EXPERIENCE

Results-driven Data Analyst with 4+ years of experience in data visualization, statistical analysis, and business intelligence across diverse industries. Proficient in SQL, Python, Power BI, and Tableau, with expertise in ETL processes, predictive analytics, and KPI-driven reporting to support strategic decision-making. Skilled in building automated data pipelines using AWS Glue and Python, optimizing data ingestion and transformation for improved operational efficiency. Experienced in cohort analysis, churn prediction, and time-series forecasting, uncovering trends that drive revenue growth and enhance customer retention. Adept at collaborating with cross-functional teams, translating complex business needs into actionable insights through interactive dashboards and clear data storytelling. Committed to leveraging advanced analytics and automation to empower organizations with data-driven strategies, improve operational performance, and unlock business growth opportunities.

Pfizer India Data Analyst March 2022 – July 2023 Programming Languages: Python, SQL (MySQL, PostgreSQL, Redshift, Snowflake), Data Visualization & BI Tools: Power BI, Tableau, AWS QuickSight, Excel (Pivot Tables, Power Query, VBA), Dash, Plotly

ETL & Data Engineering: Apache Airflow, AWS Glue, Redshift, Snowflake, SQL-based transformations, Python Statistical Analysis & Machine Learning: Regression analysis, hypothesis testing, clustering, A/B testing, time- series forecasting, predictive analytics

Cloud & DevOps: AWS (EC2, S3, IAM, Lambda, Glue), Azure Data Lake, Docker, Jenkins, GitLab CI/CD Version Control: Git, GitHub, GitLab

Data Quality & Governance: Data validation, anomaly detection, error handling, governance frameworks API & Web Services: RESTful APIs, JSON, Swagger (OpenAPI) Development Methodologies: Agile (Scrum), Waterfall, Jira, Confluence SKILLS

Performed exploratory data analysis (EDA) using Python (Pandas, NumPy, Seaborn) to identify trends, correlations, and anomalies in complex datasets.

Implemented robust data preprocessing techniques, including missing value treatment and outlier detection, improving data accuracy for analytical models.

Developed SQL-based data transformation scripts to normalize, aggregate, and structure datasets for seamless business reporting and decision-making.

Conducted advanced statistical analysis, applying regression models, hypothesis testing, clustering, and probability distributions to validate insights and guide business strategies. Generated automated reports using SQL queries and Excel macros, reducing manual effort by 50% and streamlining operational workflows.

Created dynamic data visualizations in Python (Matplotlib, Plotly) to present actionable insights in a clear, interactive format for stakeholders.

Optimized SQL query execution through indexing, partitioning, and performance tuning, enhancing database efficiency and reducing processing time.

SUMMARY

Assurant Unites States Data Analyst January 2025 – May 2025 Created charts and reports using Power BI, Tableau, and Excel to support informed business decisions Used SQL and Python to analyze data, conduct statistical tests, and identify trends in customer behavior and business performance

Built automated data pipelines with AWS Glue and Apache Airflow to streamline data collection and cleaning Contributed to projects involving customer churn prediction, sales forecasting, and analysis of different customer segments

Collaborated with teams to understand their needs and transformed raw data into clear, actionable insights and visualizations

Established and monitored key performance indicators (KPIs) to evaluate business success Assisted in developing machine learning models for predictive analysis and helped deploy them into real-world use Ensured data accuracy and compliance by performing quality checks and following company data governance policies

Worked with cloud platforms like AWS and Azure to store, transfer, and analyze large-scale datasets Collaborated on code and project work using Git and stayed organized with tools like Jira and Confluence Deloitte Data Analytics Virtual Internship – 2025

Python certification

CERTIFICATIONS

Masters Business Analytics MBA Midwestern State University – Wichita Falls, TX Bachelors in Electronics and communication engineering Institute of aeronautical engineering - India EDUCATION

Collected and organized raw data from multiple sources, ensuring accuracy and completeness before processing. Assisted in data cleaning and preprocessing using Excel, SQL, and Python, handling missing values, duplicates, and formatting inconsistencies.

Maintained databases and spreadsheets, ensuring efficient storage and easy retrieval for reporting needs. Performed basic statistical analysis and exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Generated ad hoc reports and provided quick insights through SQL queries and Power BI dashboards for business teams.

Created simple visualizations using Power BI, Tableau, and Excel to present key findings effectively. Collaborated with senior analysts to understand business requirements, align data analysis with goals, and refine reporting metrics.

Documented data processes, sources, and transformations, ensuring clarity and consistency across analytics workflows.

Participated in Agile meetings, contributing observations and learning from experienced professionals in a cross- functional environment.

Enhanced technical knowledge by staying updated on querying methods, visualization techniques, and business intelligence tools.

Completed training and certifications in SQL, Power BI, Python, and data analytics methodologies to build expertise. Shadowed senior analysts to gain hands-on experience in interpreting data insights and supporting decision-making. CGPA : 3.27

CGPA : 6.34

CitiGroup India Data Analyst July 2019 – January 2022 Facilitated migration of legacy databases to cloud-based solutions like Redshift and Snowflake, improving scalability and data accessibility.

Collaborated with finance and operations teams to refine predictive models for forecasting, aiding budget planning and inventory management strategies.

Performed trend and variance analysis on customer behavior, helping marketing teams optimize campaigns and audience targeting.

Documented data workflows, ETL processes, and analytics methodologies to improve knowledge-sharing, onboarding efficiency, and operational consistency. Supported data governance initiatives, ensuring standardized metrics, compliance, and data integrity across business units.

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