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deloitteusi
Data Scientist
June 16, 2026 – Present
Vridhi-Wadhawan.github.io
March 30, 2026 – Present
Data Science & AI Portfolio — Building scalable, data-driven solutions for complex business challenges.
View Projectstock-market-anomaly-detection
March 9, 2026 – Present
Detecting anomalies in stock returns using Isolation Forest and linking unusual market movements with real-world financial news and earnings events.
View Projectsocial-media-advertising-impact
March 5, 2026 – Present
Survey-based research study analyzing how sponsored social media advertisements influence consumer perception using regression analysis.
View Projectorganizational-value-alignment-diagnostic
March 2, 2026 – Present
Survey-based research study analyzing organizational initiatives that drive employee value alignment, workplace satisfaction, and productivity outcomes.
View Projectproduct-segmentation-affinity-analysis
February 23, 2026 – Present
Affinity-based consumer segmentation analysis linking product attributes to distinct customer personas, with strategic implications for pricing, positioning, and portfolio design.
View Projectrag-politics-qa-llamaindex
February 19, 2026 – Present
Retrieval-Augmented Question Answering system built using Wikipedia data on Indian Prime Ministers, with baseline vs enhanced RAG evaluation using LlamaIndex and Llama 3.
View Projectbusiness-intelligence-dashboard-tableau
February 11, 2026 – Present
End-to-end business intelligence dashboard in Tableau with KPI framing, segmentation analysis, and executive-ready insights
View Projectdeep-learning-models-in-practice
February 10, 2026 – Present
Applied deep learning case studies covering feedforward neural networks, RNNs, CNNs, and transfer learning across tabular, text, and image data.
View Projectstock-forecasting-mlops
February 8, 2026 – Present
End-to-end stock price forecasting using statistical and machine learning models, with evaluation and deployment-oriented design.
View Projectresidential-complex-knowledge-graph
February 6, 2026 – Present
Conceptual knowledge graph schema for a residential complex digital twin, modeling infrastructure, facilities, automation, security, and people.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in Data Science. However, there is limited evidence of collaborative work or contributions to open-source projects, which could indicate a need for development in team-oriented environments. The current experience at Deloitte USI is listed as current with no start date, making it difficult to assess professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to articulate technical work, but there are no direct assessments of collaboration, problem-solving under pressure, or communication in a team setting.