Talluri Meghana
Professional Summary
Data Scientist with 0 years of experience applying machine learning, data analytics, and computer vision to build end-to-end solutions. Proficient in Python, Power BI, SQL, and ML libraries; experienced in building dashboards, predictive models, and deployable web APIs. Seeking entry-level roles in Data Science, Machine Learning Engineering, or Analytics to deliver data-driven business impact.
Technical Skills
Work Experience
- Designed and deployed 5+ interactive Power BI dashboards using Power Query and DAX to consolidate disparate data sources and deliver real-time KPIs for 20+ stakeholders, enabling faster data-driven decisions.
- Built optimized data models and star-schema relationships in Power BI and applied query folding to reduce dashboard load time by 40%, significantly improving report responsiveness.
- Authored DAX measures and calculated columns to standardize metrics across reports, improving reporting accuracy by 30% and enabling consistent month-over-month comparisons.
- Automated ETL processes by cleaning and transforming datasets with Power Query and SQL, reducing manual preprocessing time by 60% and improving pipeline repeatability.
- Performed trend, cohort, and root-cause analyses using time-intelligence DAX functions and Python (Pandas), surfacing 15+ actionable insights that informed product and operations priorities.
- Prepared documentation, delivered stakeholder demos, and conducted training sessions on dashboard usage and data lineage, increasing cross-team adoption of analytics deliverables.
Projects
- Developed an end-to-end disease prediction and recommendation pipeline using SVC in Scikit-learn with feature engineering and preprocessing implemented in Pandas and NumPy.
- Built a Flask REST API to serve model predictions and a Bootstrap-based front end to deliver personalized medication, diet, workout, and preventive care suggestions based on patient symptoms.
- Implemented input validation and simple logging in the API to support reliable model inference and facilitate future monitoring and improvements.
- Implemented real-time hand tracking and landmark detection using MediaPipe and OpenCV to map gesture sequences to cursor events such as click, drag, scroll, and double-click.
- Designed gesture-recognition logic and integrated it with OS-level mouse controls to enable touchless cursor control; validated accurate real-time performance during testing.
- Optimized video frame processing pipeline to maintain responsive interaction while preserving recognition accuracy.
- Developed a Power BI dashboard using 10,000+ wine records across 150+ countries to analyze market trends, consumer ratings, and regional price variations.
- Implemented KPI cards, drill-through pages, and interactive filters with DAX measures to enable comparative analysis by region, vintage, and rating.
- Translated analytical findings into visual narratives to support strategic market insights for hypothetical stakeholders.
- Designed a web application to connect donors, NGOs, and beneficiaries, implementing donation tracking, collection management, and real-time status updates.
- Built backend routes in Flask and front-end interfaces with Bootstrap to streamline donation workflows and improve coordination between parties.
- Implemented basic data models to capture donation records and status transitions to facilitate accountability and tracking.
Education
Certifications
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