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Srushti Ashish

Srushti Ashish

Associate Consultant | BI

Talent
HyderabadMember since July 27, 2026
SQLPythonMicrosoft FabricPower BIDAXPower QueryOneLakeDirect LakeSemantic ModelsETLData ModelingBusiness IntelligenceOpenCVInsightFaceFlaskSQLiteREST APIOData API
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SQLPythonMicrosoft FabricPower BIDAX

About

Associate Consultant specializing in Business Intelligence and Advanced Analytics with experience in Microsoft Fabric, Power BI, SQL, and Python. Skilled in designing interactive dashboards, data modeling, ETL processes, and delivering data-driven insights to support business decision-making. Experienced in developing scalable analytics solutions, optimizing reporting performance, and collaborating with cross-functional stakeholders to solve complex business problems.

Experience

Associate Consultant | BI & Advanced Analytics - ICON Resources and Technologies - Mumbai

(2025-10)

  • Built 10+ Power BI dashboards and Fabric POCs leveraging Direct Lake, Semantic Models, and OneLake for near real-time analytics.
  • Used SQL, Power Query, and DAX to transform, validate, and optimize datasets, ensuring accurate and performant reporting.
  • Evaluated Microsoft Fabric Copilot and AI Agents across multiple POCs to test AI-driven insights, report generation, and analytical workflows.
  • Designed interactive dashboards with drill-throughs, dynamic filters, and KPI visualizations, improving business reporting efficiency.

Data Science Intern - Mahindra AI - Mumbai

(2024-12 - 2025-10)

  • Real-Time Face Recognition System for Attendance (Mahindra AI, MHRIL) - Python, OpenCV, InsightFace (AuraFace), Flask, SQLite, Multithreading.
  • Built a real-time face recognition system using RTSP streams and the AuraFace model for customer pre-check-in at Club Mahindra Resorts, reducing customer and staff time by ~30-40%. Optimized performance using multithreading, motion filtering, and NMS, cutting screen flicker by ~40%. Developed a Flask API with SQLite to manage 1K+ known faces and check-ins with cross-camera duplicate prevention achieving > 98% accuracy.
  • AI-driven outbound calling system Deployed a single AI agent across 4 terminals to handle outbound calls efficiently. Automated call triggering, reporting, and summary generation for performance insights. Integrated AI call outputs into reports/dashboards to support business decisions.

Data Research Engineer Intern - Conversight.ai - Coimbatore

(2024-05 - 2024-11)

Data Research Engineer at Conversight, delivering data-driven solutions for U.S. clients using Brightpearl REST API and Acumatica OData API.

  • Data Integration: Integrated 10+ customer data sources into a centralized data lake, improving data availability by ~35%.
  • Pipeline Development: Built end-to-end data pipelines, processing 100K+ records/day with >99% data accuracy.
  • Analytics Foundation: Developed fact and dimension tables to support scalable analytics and reporting.
  • Dashboard Creation: Built dashboards and storyboards for 5+ business teams, reducing manual reporting effort by ~50%.
  • System Development: Developed automated purchase order recommendation systems to improve supply chain efficiency.
  • Impact: Enabled clients to optimize operations, improve profitability, and make data-driven decisions.

Education

PG-DBDA - Data Science and Advanced Analytics - CDAC ACTS (2023-09 - 2024-02)

B.E. - Computer Science - BUIT (2019-06 - 2023-06)

Skills

Associate Consultant

Reviews

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