Data Analytics Specialist with BI & ETL Expertise

Meena Potlacheruvu

Location: Boca Raton, FL

Phone: 561-***-****

Email: *****************@*****.***

LinkedIn: Meena Potlacheruvu LinkedIn

Summary

Experienced Data Analyst with 3+ years of expertise in data management, data cleaning, and business intelligence. Proficient in Salesforce, SQL, Power BI, and Tableau, with solid experience in ETL processes and data quality management. Adept at designing custom reports and dashboards, analyzing large datasets, and ensuring data integrity to drive actionable insights. Skilled in automating workflows using Python and REST APIs, with a keen ability to support cross-functional teams and deliver solutions that meet business requirements. Seeking to apply my skills to improve data-driven decision-making and operational efficiency at Enormous Enterprise LLC. Skills

Category: Technical Skills

• Programming Languages: Python (Pandas, NumPy, Requests), SQL, PL/SQL, R

• Salesforce: Salesforce Lightning & Classic interface, custom objects and relationships, data validation rules, data management, reporting

• Data Engineering & BI Tools: Power BI, Tableau, Looker Studio, Excel (Power Query, Pivot Tables), Seaborn, Matplotlib, Plotly

• ETL & Data Pipelines: SQL-based ETL, Azure Data Factory, Apache Airflow, PySpark

• Data Management & Governance: Data validation, data cleansing, data quality frameworks (Great Expectations), query optimization

• Automation & Integration: REST APIs, Google Sheets API, Zapier integrations, workflow automation using Python

• Cloud Platforms: Salesforce, AWS (S3, Redshift, Lambda), Microsoft Azure, Google Cloud Platform

(GCP)

• Data Analysis & Reporting: Trend analysis, KPI tracking, operational metrics, data profiling, report building

• Machine Learning & AI: Scikit-learn, TensorFlow, Keras

• Project Management: Agile, Scrum, Jira, Confluence Education

Master’s in Data Science

Florida Atlantic University, Boca Raton, FL

Aug 2023 - May 2025

Bachelor of Technology in Information Technology

Vignan’s Lara Institute of Technology and Science, Hyderabad, India Aug 2017 - May 2021

Work Experience

Data Analyst

Ecological Servants Project, Boca Raton, FL

Oct 2025 – Present

• Assisted in data collection, cleaning, and analysis for sustainability projects, focusing on environmental datasets.

• Developed and maintained Power BI dashboards to visualize biodiversity, pollution levels, and resource usage trends.

• Automated data workflows with Python and SQL, reducing manual reporting time by 70% and improving project tracking efficiency.

• Supported research teams with data validation and visualization, ensuring data accuracy and completeness for environmental assessments.

Data Analyst

Starteryou Inc., Boca Raton, FL

Nov 2024 – Oct 2025

• Designed interactive Power BI and Tableau dashboards to track funding stages, valuation trends, and investor activity, enhancing decision-making.

• Automated data collection, cleaning, and transformation workflows with Python and Google Sheets API, improving operational efficiency by 70%.

• Conducted trend and correlation analysis to identify key funding drivers, helping prioritize high- potential startups.

• Built data-driven forecasts and performance scorecards to track startup progress and investment readiness.

Data Analyst

Perigord Life Science Solutions, Hyderabad, India

Jan 2022 – Jul 2023

• Designed and validated SQL/Python ELT workflows to migrate and process healthcare claims data into Azure Databricks, improving data quality and reducing pipeline refresh latency by 25%.

• Created interactive Tableau dashboards to visualize denial trends and A/R aging, improving compliance and reducing review time by 65%.

• Automated data validation and reconciliation checks using Python and SQL, ensuring data integrity across multiple systems.

• Collaborated with finance and operations teams to define KPIs and develop performance dashboards for revenue cycle management.

Academic Projects

Radiomics for Cancer Prognosis – Python, Logistic Regression, SVM, Random Forest

• Developed an AI-based pipeline for cancer prognosis using Python, integrating feature extraction, model training, and evaluation across medical imaging datasets.

• Applied Logistic Regression, SVM, and Random Forest models to improve classification accuracy and ensure reliable predictions.

Student Performance Prediction using Linear Regression – Python (Pandas, NumPy, Scikit-learn)

• Built a predictive model to forecast student exam scores based on study hours, attendance, and prior academic performance.

• Performed data preprocessing and feature analysis to identify key predictors influencing academic success.

Certifications

• IBM Fundamentals of Data Science

• Applied Amazon Web Services (AWS) Training and Certification

• Generative AI for Everyone – DeepLearning.AI

Contact this candidate