Rakshith K Shetty
Data Analyst | Mu Sigma Inc.
- Role
- Trainee Decision Scientist at Mu Sigma Inc.
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Rakshith K Shetty
Business Intelligence & Data Analyst with 2.8+ years of experience delivering high-impact…
Experience
Trainee Decision Scientist
Aug 2023 — Present · Bengaluru, IN
Projects:1. Qlik Sense Development Project – Healthcare AnalyticsLed the end-to-end design and implementation of a Qlik Sense solution for a complex healthcare dataset tracking key KPIs such as Patient Adherence, Copay utilization, Sales Representative Performance, and Patient Journey Analysis.Key highlights:> Data Transformation & Modeling: Ingested multi-source data (SQL Server, flat files, APIs) and performed advanced transformations using Qlik’s ETL scripting. Applied QVD layer architecture.> Scripting & Optimization: Built reusable load scripts with set analysis, preceding loads, and incremental reload strategies to handle millions of records efficiently.> Data Visualization: Designed interactive dashboards and self-service analytics with responsive UI/UX, leveraging Qlik’s associative engine, alternate states, and on-demand app generation to enable deep-dive exploration of patient and sales metrics.2. Power BI Development Project – Oncology Data & Clinical MetricsDesigned and deployed a comprehensive Power BI solution for oncology-related datasets, enabling real-time tracking of Patient Visits, Clinical Trial Data, and other critical operational KPIs.> Data Acquisition & Transformation: Connected to multiple sources (SQL Server, flat files, cloud APIs) and performed advanced cleansing and shaping in Power Query (M language).> Data Modeling: Built a well-structured star schema with fact and dimension tables, applied DAX calculations for dynamic measures and optimized relationships to avoid ambiguity and improve query performance.> Visualization & Interactivity: Developed intuitive dashboards with bookmarks, drill-through pages, tooltips, and custom visuals for in-depth patient journey and trial phase analysis.> Performance & Security: Leveraged composite models and incremental refresh, implemented Row-Level Security (RLS) for HIPAA-aligned data access, and fine-tuned model size and query folding for rapid load times.
Education
Excellent PU College Kundapura
PUC
2017 — 2019
B. M. S. College of Engineering
Bachelor of Engineering - BE
2019 — 2023
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