Data Analyst Business Intelligence

Varsha Moturi

*************@*****.*** +1-669-***-**** San Francisco, CA LinkedIn GitHub

PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience delivering data integration, analytics, and reporting solutions for enterprise clients. Core expertise includes developing and optimizing PL/SQL scripts, managing Oracle Exadata and 10g environments, and designing scalable data flows for client onboarding, KYC, and wholesale credit systems. Skilled in constructing and validating complex SQL queries, automating data transformation processes, and building business intelligence dashboards using Microsoft Excel and PowerPoint. Background includes translating business requirements into actionable solutions, creating detailed test scenarios, and supporting successful system integrations in Agile project settings. Known for a detail-oriented approach, clear communication with both technical and business stakeholders, and effective prioritization across multiple projects.

EDUCATION

MS, Data Science, Courses: LLM and MLOps, Machine Learning, Deep Learning, Data Acquisition (Python), Databases (SQL,MongoDB), Distributed Computing (Spark), Design of Experiments (A/B Testing), Linear Regression Analysis, Time Series Analysis.

University of San Francisco, San Francisco, CA

B.Tech., CSE

Jawaharlal Nehru Technological University, Kakinada, India

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, PL/SQL, Stored Procedures, Complex SQL Queries

Agile & Project Tools: Agile (Scrum), Sprint Planning, Effort Estimation

Analytics & Reporting: Microsoft Excel, Microsoft PowerPoint, Microsoft Word, Business Intelligence Dashboards, Analytical Reporting

Industry-Specific Platforms: Wholesale Credit Products, Client Onboarding Systems, KYC Systems

Testing & Quality Assurance: Test Scenarios, Proof-of-Concept Testing

Data Integration & Migration: Data Transformation Scripts (PL/SQL), Data Interfaces, Data Validation, Data Flow Diagrams

WORK EXPERIENCE

Isazi, Data Analyst Nov 2023 - Present

●Developed and optimized complex PL/SQL queries within Oracle 10g and Exadata environments to extract and validate sales and inventory data for analytics and business reporting needs.

●Built data transformation scripts using PL/SQL to support data migration and integration projects, ensuring accurate and consistent data flow between operational and analytical systems.

●Created clear data documentation and process flows for end-to-end analytics solutions, making it easier for both technical and non-technical teams to understand and use generated reports.

●Built and maintained business intelligence dashboards using Microsoft Excel and PowerPoint to present actionable insights and highlight inventory trends for management and client-facing teams.

●Tested and validated forecasting models by simulating various business scenarios, using detailed test cases to ensure reliable predictions for inventory and supply chain planning.

●Participated in Agile sprint planning sessions, helping the team prioritize analytics tasks and estimate effort required for each data-related user story.

●Improved product identification workflows by integrating structured and unstructured data sources, supporting shelf analytics and real-time performance monitoring for retail and pharma operations.

●Developed and reviewed stored procedures in Oracle to automate repetitive data processing tasks, reducing manual effort and increasing consistency across reporting cycles.

●Worked closely with cross-functional teams to clarify business requirements, translate them into data solutions, and communicate findings in both technical and business-friendly language.

●Supported multiple analytics projects simultaneously, managing priorities and deadlines, and proactively communicating progress and blockers to ensure smooth project delivery.

RoundSqr (Part of Cigniti), Associate Data Scientist Jun 2021 - May 2022

●Developed and maintained PL/SQL queries and stored procedures on Oracle Exadata to support data validation and reporting for wholesale credit and client onboarding activities.

●Created test scenarios and validated data interfaces to ensure seamless integration of new analytics solutions with existing enterprise applications within client onboarding and KYC processes.

●Developed business and technical requirements by working with stakeholders, refining user stories, and supporting estimation and prioritization for Agile sprints focused on credit risk and onboarding projects.

●Built and maintained complex data models to analyze wholesale credit product performance, identifying trends and supporting business decisions for enterprise and government clients.

●Utilized Microsoft Excel, PowerPoint, and Word to prepare analytical reports, presentations, and executive summaries tailored to both technical and non-technical audiences.

●Designed and executed proof-of-concept initiatives to test new data integration approaches, reducing risk before full-scale deployment in credit and KYC systems.

●Developed cross-application data flow diagrams to map end-to-end business processes, supporting efforts to enhance transparency and compliance in onboarding workflows.

●Improved communication between technical and business teams by translating analytics findings into actionable recommendations, using clear language for different stakeholder groups.

●Managed multiple data projects simultaneously, identifying priorities, assigning resources, and tracking progress to ensure timely and accurate delivery in a fast-paced Agile environment.

●Estimated project effort and resource requirements for new analytics features, supporting financial planning and ensuring alignment with organizational objectives and compliance mandates.

PRM Fincon Services, Associate Data Scientist Oct 2020 - Jun 2021

●Worked on the end-to-end OCR integration pipeline using Python and FuzzyWuzzy, including post-OCR optimizations to validate digitized balance sheets and income statements

●Demonstrated leadership and collaboration by showcasing innovative risk solutions at the CB Insights Hackathon

DigiTele Networks, Graduate Data Scientist May 2019 - Oct 2020

●Developed a computer vision model focused on hotspot detection in white-hot images derived from solar panel drone imagery by processing and embedding 20,000 images to enhance model performance to 70% in accuracy in hotspot detection

●Incorporated bounding box information into training labels to improve hotspot localization and spatial context understanding

PROJECTS

Career Mongo: : A personalized Job Search Engineer

Gathered job postings from Indeed, LinkedIn, ZipRecruiter, and Glassdoor using the jobspy library. Implemented Airflow DAGs for automated scraping and generated textual embeddings with OpenAI, storing job details in a structured dataframe.

Utilized MongoDB Atlas for flexible and scalable data storage. Developed a process to tokenize and summarize resumes using GPT models and OpenAI's text-embedding model, ensuring compatibility with job description embeddings for accurate matching.

Implemented a K-nearest neighbor algorithm to match job seekers with relevant postings based on embedding similarity. Automated daily updates with Airflow and integrated CI/CD pipelines for continuous deployment. Created an intuitive Streamlit interface for seamless user interaction and real-time job recommendations.

Project URL: https://github.com/varshamoturi/CareerMongo

Bookwise: Your AI-Powered Study Companion

Bookwise simplifies exploration of PDF books, offering detailed answers with contextual references. Users access concise summaries or delve into specific sections, enhancing their learning.

Integrated PyPDFLoader and OpenAIEmbeddings to extract and embed text from PDFs. This process ensured accurate context retrieval and efficient similarity searches using FAISS Vector store indexes, enhancing search precision.

Used fine-tuned GPT-4 to deliver accurate responses to user queries with RAG (Retrieval Augmentation Generation) framework to further refine query responses, enriching the overall functionality of the platform. Developed an intuitive Streamlit interface for

seamless user interaction. This interface not only improved global accessibility but also enhanced the overall user experience, making information retrieval more efficient.

Project URL: https://github.com/varshamoturi/Bookwise-Your-AI-Powered-Study-Companion

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