Data Analyst Power Bi

Bhuvana Chandrika Terala

Sterling, VA ***************@*****.*** +1-667-***-**** linkedin.com/in/Bhuvana-Terala github.com/BhuvanaTerala

Professional Summary

Highly Motivated Data Analyst actively seeking opportunities to apply academic and proven experience in data analysis, process automation, and data visualization. Skilled in gathering and analyzing business requirements, performing exploratory data analysis (EDA), and building interactive dashboards using SQL, Python, Tableau, and Power BI. Passionate about identifying process inefficiencies and delivering data-driven solutions to enhance operational efficiency. Eager to collaborate with cross-functional teams and provide actionable insights to stakeholders to drive business growth.

Education

University of Maryland, Baltimore County (UMBC), Masters in Data Science Aug 2023 – May 2025 Baltimore, MD

• GPA: 4.00/4.00

Malla Reddy College of Engineering and Technology, Bachelor of Technology in Computer Science and Engineering

Aug 2019 – May 2023

Hyderabad, India

• GPA: 3.6/4.0

Technical Skills

Programming : Python, R, SQL, Java, JavaScript

Data Analysis & Processing: Microsoft Office Suite- MS Excel (Macros, VBA), Pandas, NumPy, OpenCV, Hadoop, Apache Spark, Databricks, Alteryx, ETL Pipelines, Data warehousing Data Visualization tools: Tableau, Power BI, Matplotlib, Seaborn Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Keras, Feature Engineering, Data Modeling and Evaluation, Predictive Analysis

Databases: MySQL, MongoDB, PostgreSQL, SQL Server

Cloud & Big Data Tools: Google BigQuery, Spark, AWS, Azure, Salesforce, Jira, Version Control(Git) Experience

Astomi Analytics Private Limited

Data Analyst

Jan 2022 – June 2023

Hyderabad, India

• Analyzed and interpreted pricing and market data to develop actionable insights, contributing to model improvements that led to a 20% improvement in process efficiency.

• Collaborated with cross-functional teams and clients to gather and refine business requirements, ensuring alignment of data solutions with organizational goals.

• Automated data workflows using SQL and Python, reducing manual effort by 30% and enhancing the accuracy and timeliness of pricing data.

• Created interactive dashboards and reports in Tableau and Power BI to visualize key pricing metrics and KPIs, enabling 25% faster decision-making for stakeholders.

• Conducted gap analysis to identify inefficiencies in pricing processes and implemented data-driven enhancements that optimized model performance.

• Supported predictive analytics efforts by preparing data sets and assisting senior analysts in building pricing models that forecast business trends with 85% accuracy.

• Worked closely with senior stakeholders to enhance existing models and provide insights into pricing strategies and secondary market execution.

Projects

Hospitality Revenue and Market Share Analysis Dec 2024 Tech Stack: Power BI, Business Intelligence

• Conducted in-depth analysis of revenue and market share data for AtliQ Grands, a luxury hotel chain, using Power BI.

• Designed a real-time dashboard to track property performance, revenue trends, and key KPIs.

• Collaborated with stakeholders to create data-driven business strategies, improving market positioning.

• Helped the Revenue team recover 20% of lost revenue within a month through better decision-making. VaxRisk: Vaccine Safety Assessment April 2024

Tech Stack: Python, CatBoost, TF-IDF, Gradio, Tableau

• Processed over 2.1M VAERS records to assess vaccine-related adverse events for the COVID-19, Influenza, PPV, and VARZOS vaccines.

• Created a predictive model using CatBoost, improving serious adverse event (AE) detection accuracy.

• Developed an interactive GUI using Gradio for real-time risk assessment, helping healthcare professionals.

• Applied TF-IDF for symptom analysis, optimizing class imbalance handling for enhanced model performance.

• Visualized key findings using Tableau to communicate vaccine safety insights and support data-driven decisions.

Instacart Online Grocery Basket Analysis Nov 2023

Tech Stack: PySpark, Spark MLlib, MongoDB, Tableau

• Transformed 3.4M+ user transactions using PySpark and SparkSQL to uncover consumer purchasing trends.

• Designed a collaborative filtering-based recommender system in Spark MLlib for personalized product recommendations, improving customer engagement.

• Handled large-scale data efficiently by integrating MongoDB with Spark for real-time analytics.

• Built interactive Tableau dashboards, enabling data-driven decision making for stakeholders. Certifications

• Google Data Analytics Professional Certificate Ongoing

• Microsoft Power BI Desktop for Business Intelligence- Udemy

• Microsoft Excel Beginner to Advanced- Udemy

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