Sakshi Srivastava

Successfully completed a Deloitte job simulation, applying data analysis and forensic technology principles to real-world scenarios.

Developed a comprehensive data dashboard using Tableau to visualize key insights.

Utilized Excel for data classification and to derive actionable business conclusions.

Successfully completed a job simulation focused on developing impactful data visualizations for Tata Consultancy Services.

Formulated strategic questions for client senior leadership meetings to guide data-driven discussions.

Designed and implemented compelling data visuals, enabling executives to make informed and effective decisions.

Successfully completed an Accenture job simulation, providing data-driven recommendations to a hypothetical social media client.

Cleaned, modeled, and analyzed 7 distinct datasets to extract key insights on content trends, informing strategic decision-making.

Developed a comprehensive PowerPoint presentation and video to effectively communicate key insights to clients and internal stakeholders.

Achieved 100% completion of Microsoft Azure AI learning paths, specializing in Computer Vision, Natural Language Processing, and Generative AI.

Engineered an end-to-end Plant Disease Detection System utilizing CNNs, Streamlit, and a dataset of over 87,000 images, demonstrating practical AI application.

Applied Azure AI services and deep learning models to develop and deploy real-world AI applications.

Achieved a top 227 ranking out of hundreds of participants in Kaggle's Summer Analytics Hackathon.

Engineered a robust Machine Learning pipeline for NDVI Land Cover Classification, leveraging real-world satellite data.

Utilized advanced machine learning algorithms including Logistic Regression, Random Forest, and XGBoost, enhanced by feature engineering and hyperparameter tuning.