Data Analyst Analysis

RENUKA NALAWADE

Boise, ID ***** *************@*****.*** +1-682-***-**** linkedin

SUMMARY

● Results-driven Data Analyst with 5+ years of experience in delivering actionable insights through advanced analytics, data visualization, and data engineering.

● Proven expertise in data wrangling, ETL pipeline development, and SQL scripting to drive data integrity and support data-driven decision-making.

● Strong command over Python, PySpark, and SQL for data analysis, statistical modeling, and business forecasting.

● Adept at designing interactive dashboards in Tableau and Power BI, improving business intelligence and cross-functional collaboration.

● Experience working with cloud-based data platforms such as Azure Data Factory and AWS S3 for scalable data storage and transformation.

● Applied machine learning algorithms for classification and prediction tasks including fraud detection and stock beta modeling.

● Extensive experience with data governance, data quality assurance, and performing root cause analysis to resolve inconsistencies.

● Deep knowledge of finance, economics, and big data analytics through a dual master’s background in Finance and Information Systems.

● Collaborated with engineering, finance, operations, and research teams to build end-to-end BI solutions and achieve operational efficiency.

● Strong understanding of statistical analysis, hypothesis testing, regression models, time-series forecasting, and data storytelling.

SKILLS

Programming & Scripting: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), PySpark, SQL (MySQL, PostgreSQL, SQL Server), VBA, R (Basic)

Data Engineering & ETL: Alteryx, Talend, SSIS, Azure Data Factory, AWS S3, ETL Design & Optimization, Data Wrangling, Data Pipelines

BI & Visualization Tools: Tableau, Power BI, Excel (Advanced – Macros, Pivot Tables, VLOOKUP, Charts) Statistical & Analytical Techniques: Hypothesis Testing, A/B Testing, Regression (Linear & Logistic), ANOVA, Time-Series Forecasting, CAPM, EDA

Databases & Big Data: SQL Server, PostgreSQL, Oracle, Snowflake (Basic), Hadoop (Basic), PySpark Cloud & Integration Platforms: Azure, AWS, REST APIs, Git, GitHub Project & Collaboration Tools: JIRA, Confluence, Trello, Agile/Scrum Methodologies, SDLC Soft Skills: Problem Solving, Data Storytelling, Business Communication, Team Collaboration, Financial Insight PROFESSIONAL EXPERIENCE

Fullstack Labs, CA Sep 2021 – Present

Data Analyst

● Designed and implemented scalable ETL pipelines using Alteryx and SQL, automating data ingestion from multiple systems.

● Built 15+ interactive dashboards in Tableau and Power BI, increasing KPI visibility and reducing manual reporting efforts by 40%.

● Conducted root cause analysis on data anomalies in operational reports, improving data accuracy by 20%.

● Collaborated with data engineering and business teams to optimize data warehouse design and establish governance practices.

● Delivered ad hoc reports, executive summaries, and compliance insights using advanced Excel and data modeling tools.

● Led geospatial data analysis to support regulatory mapping and asset tracking across service territories. Anderson Inc., USA Sep2020 – Aug 2021

Research Analyst

● Performed exploratory data analysis (EDA) on millions of data points using Python (Pandas, NumPy) and SQL, supporting diverse academic research initiatives.

● Built and validated predictive models using multivariate regression, logistic regression, and time-series forecasting to inform research outcomes.

● Created statistical summaries and academic visualizations for published research papers and internal data presentations.

● Optimized data pipelines and scripts for accuracy and performance, reducing data prep time by 35%

● Collaborated with faculty to translate business problems into analytical solutions with measurable outcomes.

Tech9 Software, India Jul 2017 – Jul 2018

Data Analyst

● Spearheaded automation of asset and inventory tracking for 80,000+ telecom infrastructure elements using SAP MM and Excel VBA, cutting project delays by 25%.

● Created dynamic Excel-based dashboards and performance reports for project leads and clients to track forecasting, procurement, and delivery metrics.

● Applied OLAP analysis to analyze cost inefficiencies and streamline material management for a $10M+ client program.

● Worked with cross-location teams to centralize project reporting, reduce duplication, and implement standard data governance practices.

● Conducted training sessions for 5+ junior analysts, improving team efficiency and reporting quality. PROJECTS

● Sales Performance Dashboard (Tool: Tableau – Oct 2024) Built an interactive dashboard to visualize sales performance, profit margins, and regional trends using live datasets.

● Credit Card Fraud Detection (Tools: Python, PCA, Machine Learning – Aug 2024) Analyzed 284K transactions with ML classification models to detect fraud; achieved 99.82% accuracy in identifying legitimate transactions.

● Stock Beta Prediction Using CAPM (Tools: Python, SQL, OLS Regression – 2024) Developed a pipeline to retrieve and process stock data, estimated Beta values for risk forecasting using regression analysis.

EDUCATION

Master of Science in Finance May 2023

University of the Cumberlands – Williamsburg, KY

Master of Science in Information Systems Aug 2021

University of Texas at Arlington – Arlington, TX

Bachelor of Science in Computer Science May 2017

University of Mumbai – Mumbai, India

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