Data Analyst Business Intelligence

Naga Nanda Kambhampati Duluth, GA– *****

DATA ANALYST +1-470-***-**** ****.*****@*******.***

PROFESSIONAL SUMMARY

Data Analyst with over 5 years of experience in data mining, statistical modeling, business intelligence, and dashboard development. Proven ability to translate complex datasets into actionable insights that drive operational efficiency and revenue growth. Skilled in SQL, Python, R, Tableau, and Excel, with hands-on expertise in A/B testing, predictive modeling, and data visualization. Experienced in collaborating with cross-functional teams to support strategic initiatives and communicate insights to both technical and non-technical stakeholders. Passionate about leveraging data to solve business problems and enable data-driven decision-making. TECHNICAL SKILLS

Programming & Query Languages: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), R, SQL (MySQL, PostgreSQL, T-SQL), Bash/Shell Scripting

Statistical & Analytical Techniques: Linear & Logistic Regression, Clustering (K-Means, DBSCAN), Time Series Forecasting (ARIMA, Prophet), A/B Testing, Hypothesis Testing, ANOVA, PCA Visualization & Reporting: Tableau (Dashboards, Storytelling), Power BI (DAX, Power Query), Excel (Pivot Tables, Power Query, Macros, VBA), Google Data Studio, matplotlib, Plotly

BI & ETL Tools: SQL Server, Snowflake, Google BigQuery, PostgreSQL, MySQL, MongoDB, MS Access, Talend, Apache Airflow Data Wrangling & Automation: Data Cleaning, Feature Engineering, Workflow Automation (Airflow, Python Schedulers), Web Scraping

(BeautifulSoup, Selenium), Data Transformation

Modeling & Machine Learning: Random Forest, KNN, Decision Trees, Neural Networks, Naive Bayes, SVM, Ensemble Methods, Model Evaluation (ROC, AUC, F1 Score)

Data Tools & IDEs: Jupyter Notebook, RStudio, VS Code, Google Colab, Anaconda Cloud & Storage: AWS S3, Google Cloud Storage, SharePoint, OneDrive, Azure Blob Storage Collaboration & Version Control: Git, GitHub, Jira, Confluence, Trello, Slack, Microsoft Teams Documentation & Design: PowerPoint, Word, Google Docs, Notion, Lucidchart, Draw.io Soft Skills: Data Storytelling, Critical Thinking, Stakeholder Communication, Agile Collaboration, Problem Solving, Attention to Detail PROFESSIONAL EXPERIENCE

Data Analyst eBay, San jose, CA, Remote Jul 2024 - Current

• Designed and implemented Tableau dashboards for internal operations and hiring performance, reducing manual reporting efforts by 40% and enabling leadership to monitor KPIs in real time.

• Automated weekly data collection and cleansing processes using Python and SQL scripts, saving the analytics team over 10 hours per week and significantly reducing human error.

• Analyzed hiring funnel metrics and candidate engagement data to identify drop-off points, resulting in a 22% increase in candidate placement rate over a 3-month period.

• Conducted in-depth A/B testing on job board strategies and email campaign performance, contributing to a 12% improvement in candidate click-through and conversion rates.

• Created Excel-based scorecards and dashboards to track recruiter performance and monthly hiring trends, increasing transparency and enabling performance-based rewards.

• Partnered with cross-functional teams to define KPIs and build reports that supported workforce planning and hiring cycle optimization.

• Cleaned and transformed raw recruitment datasets using Excel (Power Query, pivot tables) and Python (pandas), ensuring 100% data integrity across monthly reports.

• Delivered presentations on recruitment analytics to leadership using clear data storytelling techniques, improving executive decision-making based on timely and accurate insights.

Business Data Analyst i-HiddenTalent, Gujarat, India May 2018 - May 2023

• Analyzed over 10 million customer transaction records to identify patterns in user behavior, fraud indicators, and seller interactions, resulting in improved fraud detection strategies.

• Built and optimized complex SQL queries and ETL workflows to consolidate data from Snowflake and BigQuery into actionable datasets, reducing reporting turnaround time by 35%.

• Designed advanced Tableau dashboards for executive stakeholders, which helped monitor seller performance KPIs and improved Net Promoter Score (NPS) by 15% over two quarters.

• Deployed machine learning models (Random Forest, KNN, Decision Trees) in Python and R to predict customer churn, improving forecast accuracy by 18% compared to previous baselines.

• Supported marketing teams with A/B testing design and statistical analysis, leading to optimized targeting strategies and a 12% reduction in cost-per-acquisition (CPA).

• Collaborated with product managers to deliver cohort analysis and user funnel insights, driving a 30% increase in adoption of newly released features on the platform.

• Utilized Excel (Power Query, macros, pivot charts) to streamline business reporting and reduce manual data prep time by over 20 hours monthly.

• Communicated complex data insights to cross-functional teams through interactive dashboards and presentations, fostering a data-driven culture across the product division.

EDUCATION

Master of Sciences in Business Analytics Mercer University, Macon, GA

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