Aru

Established and led a data science consulting firm delivering comprehensive end-to-end solutions for businesses across various sectors. Key accomplishments and responsibilities include: - Advanced Analytics Solutions: Engineered and implemented cutting-edge forecasting models and Natural Language Processing (NLP) algorithms, extracting actionable insights from complex datasets for a diverse portfolio of over 80 clients. - Strategic Business Intelligence: Transformed raw data into strategic assets, empowering retail teams to make data-driven decisions and gain a competitive edge in the market. - Client-Centric Approach: Fostered strong relationships with individual entrepreneurs and corporate clients, translating their unique data challenges into tailored, innovative solutions. - Retail Sector Expertise: Guided retail teams in leveraging data analytics to optimize operations, enhance customer experiences, and drive revenue growth. - End-to-End Data Solutions: Provided comprehensive services from initial data assessment and cleaning to advanced predictive modeling and intuitive data visualization. - ROI-Focused Insights: Delivered actionable intelligence that directly contributed to clients' bottom line, improving operational efficiency and strategic planning. This experience showcases not only technical proficiency in data science but also the ability to translate complex analytical findings into tangible business value. It emphasizes your role in helping clients harness the power of their data to drive growth and innovation, positioning you as a valuable partner for businesses seeking to leverage data science for competitive advantage.

• Developed Metadata-Filtered RAG using ISIN-level filtering and Deterministic Sampling for hedge funds • Architected "Zero-Hallucination" solution powered by Gemini with hard guardrails for regulatory compliance • Implemented native multimodal parsing to extract tabular data from PDFs without OCR noise • Reduced research time for Portfolio Managers by 70% through automated financial document analysis

- Developed and deployed AI integration tools for the 3bricks.ai platform on Google Cloud Platform (GCP), enabling scalable machine learning pipelines and seamless cloud-native operations. - Implemented Vertex AI and Gemini models to automate image and video analysis, supporting use cases such as object detection, content classification, and feature extraction to enhance platform intelligence. - Designed and built a real-time analytics dashboard with interactive visualizations to monitor, track, and analyze user interactions, providing actionable insights that improved engagement metrics and data-driven decision-making.

• Solved "spatial chaos" problem where 2D site sketches didn’t match real-world progress, causing schedule variance across multiple construction sites. • Architected computer vision pipeline using YOLOv8 for object detection and Homography Matrices to normalize messy 2D sketches into a unified 3D coordinate system. • Applied Causal Forest to estimate the specific impact of resource reallocation on project timelines; isolated the top 200 features from 7,000+ variables using Random Forest. • Transformed reporting tool into a ‘What-If’ Simulation Engine for project managers, enabling data-driven decision-making for inventory management and resource allocation.

• Conducted advanced research in industrial organization and geospatial analysis; led large-scale geospatial data projects. • Applied econometric methods and statistical modeling; taught statistical analysis and economics courses. • Developed methodologies for handling massive datasets in transportation and industrial economics.

• Developed data analysis toolkit and methods to support infrastructure development in the R&D team. • Analyzed survey data and conducted quality assessments to benefit communities. • Collaborated with team members to develop innovative solutions for data analysis challenges.