Data Analyst Power Bi

OBJECTIVE

GAYATHRI VENISHETTI

Buffalo, NY +1-716-***-**** gmail LinkedIn

Data Analyst with experience transforming complex data into actionable insights that inform product, marketing, and operational strategy. Skilled in SQL, Python, and advanced Excel for large-scale data analysis, and experienced in building scalable BI solutions across platforms like Power BI, Tableau, and Looker. Proven ability to collaborate with engineering, product, and marketing teams to optimize performance through A/B testing, anomaly detection, and revenue-focused analytics.

WORK EXPERIENCE

Dream Studio Atlanta, GA

Data Scientist Sep 2024 – Current

Utilized advanced machine learning techniques, including XGBoost and Random Forest models, to analyze detailed county-level data and improve prediction accuracy by 10% for environmental impact assessments.

Automated data integration processes using Python (pandas, numpy, scikit, nltk) and YAML, resulting in a 18% increase in scalability and predictive capabilities for regional job growth and ecological studies.

Developed interactive and user-friendly dashboards in Power BI for real-time monitoring of outcomes, leading to a 12% reduction in time spent on manual reporting processes.

School of Law, State University of New York at Buffalo Buffalo, NY

Graduate Assistant Aug 2023 – May 2024

Supported the Assistant Dean in data analytics initiatives to inform strategic opportunities and contributed to a comprehensive audit of academic policies and procedures for the School of Law.

Tata Consultancy Services Hyderabad, India

Assistant Data Analyst. Dec 2021 – Dec 2022

Collected, processed, and analyzed large datasets from various sources, such as project management software, financial systems, and CRM/ERP tools, leading to a 20% improvement in data-driven decision-making.

Extracted and preprocessed user behavior data using SQL and applied statistical methods such as regression analysis and time-series modeling to forecast customer trends with 85% accuracy, driving improved user engagement strategies.

Built and maintained 20+ interactive dashboards in Power BI, and Tableau to track customer engagement KPIs, reducing time-to-insight for business stakeholders by 15%. Conducted report testing, data validation, and QA to ensure accuracy and consistency across all deliverables.

Performed ad hoc analyses using SQL and Python to answer urgent business questions, uncover trends, and provide data-backed recommendations for cross-functional teams.

Applied Python(pandas, numpy, scikit, nltk) for data transformation and exploratory data analysis (EDA), contributing to effect optimization and self-expression enhancements in product experience.

Built and optimized ETL pipelines using Python and SQL to extract sales, inventory, and customer data into a centralized data warehouse, enabling real-time retail performance tracking and analytics.

Developed data marts and associative data models that optimized data storage and retrieval, reducing query processing times by 40%.

Built and managed API interfaces between operational and analytics platforms, ensuring seamless data integration and achieving real-time data availability.

PROJECT EXPERIENCE

AI-Driven Job Search Assistant

Developed a Gradio/Streamlit application using a RAG pipeline to query and retrieve job descriptions from a Huggingface dataset. Enabled personalized job recommendations by matching user skills and preferences with available job postings, simulating an AI recruitment agent.

Speech-to-Image Modification Application

Developed a combined Streamlit and Gradio app that allows users to upload images and record descriptive audio for modifications.

Integrated GROQ/OpenAI for speech transcription and utilized DALLE-3 and Huggingface Diffusion Models to render the described modifications in images.

EDUCATION

State University of New York Buffalo, NY

MS in Data Science and Applications (GPA: 3.8/4.0) Jan 2023 - June 2024 Relevant Coursework: Machine Learning, Programming in Python and R, DBMS, Data Structures & Algorithms, Data Visualization, Tableau, Microsoft Azure Cloud Services, Cybersecurity, Generative AI, Large Language models.

SKILLS & INTERESTS

BI & Reporting Tools: Power BI, Tableau, Excel (Advanced), Looker

Programming & Analysis: SQL, T-SQL, Python (Pandas, NumPy), R

Data Ops & QA: ETL, Ad Hoc Reporting, KPI Development, QA Testing

Communication: Stakeholder Reporting, Business Requirements Gathering, Root Cause Analysis

Cloud & Data Platforms: Snowflake, BigQuery (Basic), GSheets, Azure

CERTIFICATIONS

Microsoft Certified: Azure Fundamentals (AZ-900), 02/2022

Udemy Certified: SQL - MySQL for Data Analytics and Business Intelligence, 09/2021

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