About
From reporting analyst to data engineer
I am a Data Analyst with 4.5+ years of experience in business intelligence, automation, and data analytics. I enjoy transforming raw data into actionable insights using Power BI, Python, SQL, and Machine Learning to solve real-world business problems.
Most of that work has been enterprise HR and talent analytics — dashboards, semantic models and DAX measures that people actually run their week on. What kept pulling me further upstream was that the hardest problems were never in the visual layer. They were in whether the data arriving underneath it could be trusted.
So I am now transitioning into Data Engineering, working with Microsoft Fabric, Azure Databricks, and modern cloud data technologies. The case studies on this site are where I explore building scalable data pipelines, analytics solutions, and end-to-end data platforms while continuously expanding my skills.
Experience
Work history
Sr. Associate, Analytics
Think Talent Services
- Delivered 20+ enterprise analytics solutions supporting HR analytics, talent management, assessment tracking, and executive reporting — enabling 50+ business users to make faster, data-driven decisions and reducing report turnaround time by 25%.
- Built an end-to-end Microsoft Fabric Medallion (Bronze → Silver → Gold) pipeline to process millions of records, delivering optimised datasets for 2 Power BI dashboards and improving refresh performance by 60%.
- Implemented Microsoft Fabric Data Factory pipelines to ingest, validate, and consolidate 100+ client files per reporting cycle, reducing manual file processing by 80% while ensuring reliable and standardised data ingestion.
- Supported Power BI Service workspace management, scheduled dataset refreshes, and Row-Level Security (RLS) implementation to ensure secure, reliable dashboard access across business units.
- Automated recurring reporting workflows using Python, SQL, and Excel — saving 10+ hours per week, reducing manual effort by 70%, and improving reporting accuracy to over 95%.
- Spearheaded design and development of reusable automation tools, including Reminder Suite, PDF Merge/Split, Dynamic Score Collation, and report validation utilities, improving operational efficiency by 40%.
- Automated the salary fitment process using Python and Excel, reducing manual processing time by 60% and accelerating hiring operations by 50%.
- Led requirements gathering and stakeholder alignment across 10+ cross-functional teams, defining KPIs and driving delivery of scalable analytics solutions, achieving 95% on-time project delivery.
Intern
Think Talent Services
- Streamlined reporting pipelines and enhanced analytics by implementing Excel M-Query and DAX.
- Reduced team reporting workload by 4 hours weekly through the creation of macro-enabled templates.
- Boosted client engagement by 11% with the development of an interactive Power BI dashboard.
Statistics Tutor
Tutor Eye
- Executed Exploratory Data Analysis (EDA) using Python to extract valuable data insights, directly contributing to improved student performance and educational success.
Education
Academic background
07/2021
Master of Science (MSc), Statistics
09/2015
Bachelor of Science (BSc), Mathematics
Credentials
Certifications
Professional Certificate Course in Generative AI and Machine Learning
E & ICT Academy, IIT Kanpur — a joint initiative of MeitY & IIT Kanpur
Issued 29 May 2025
Toolkit
Skills
Analytics & BI
- Power BI
- DAX
- Power Query (M)
- Dashboard development
- KPI reporting
- Data visualisation
- Row-Level Security
Programming & Data Engineering
- SQL
- Python
- PySpark
- Microsoft Fabric
- Data Factory
- Medallion architecture
- Delta Lake
- Azure SQL
- Azure Data Lake
- Databricks
Machine Learning
- CNN & transfer learning
- Collaborative filtering
- Exploratory Data Analysis
Data Management
- Cleaning & standardisation
- Validation & reconciliation
- Deduplication
- Master data maintenance
Tools & Platforms
- Advanced Excel
- Pivot tables
- VLOOKUP / XLOOKUP
- Macros
- Generative AI