Harshwardhan Pratap Singh

Data Analyst

Bengaluru, Karnataka, India10 mos experience

Key Highlights

  • Expert in data visualization with Power BI and Tableau.
  • Proficient in SQL and Python for data analysis.
  • Experienced in designing high-scale data pipelines.
Stackforce AI infers this person is a Data Analyst with expertise in Data Engineering and Visualization in the Fintech and Logistics sectors.

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Skills

Core Skills

Data AnalysisData VisualizationData EngineeringData Pipeline Development

Other Skills

AlgorithmsAnalytical SkillsAzure Data FactoryAzure Data LakeAzure DatabricksBig DataData AnalyticsData StructuresEnglishInvestigative ResearchJavaJavaScriptMicrosoft ExcelPipelinesPower BI

About

A Data Analyst leveraging a robust technical stack to drive data-driven decision-making and operational excellence. My expertise spans Data Visualization and Reporting using Power BI (including DAX and Power Query) and Tableau , complemented by strong foundational skills in SQL (including advanced analytical functions and query optimization). I am adept at data manipulation and scripting with Python (Pandas) and utilize Azure Databricks (PySpark) and Azure Data Factory for designing and deploying high-scale data pipelines. Further technical competencies include Data Modeling, KPI and Variance Analysis, and proficiency in Excel/MS Office

Experience

Spin logistics

Junior Analyst

Oct 2024Jan 2025 · 3 mos · Remote · Remote

  • Performed financial variance analysis on logistics invoices (FedEx, UPS, DHL) using SQL and Python, identifying anomalies and optimizing cost patterns.
  • Built zone-wise net rate models integrating published carrier rates, minimum thresholds, and discounts — demonstrating hands-on modeling experience aligned with financial/treasury model validation.
  • Developed reporting dashboards in Power BI to present model insights and cost-saving opportunities, directly supporting strategic decisions.
SQLPythonPower BIData AnalysisData Visualization

Ncr voyix

IT Analyst Intern

Feb 2024Sep 2024 · 7 mos · Gurugram, Haryana, India · On-site

  • Designed a data reconciliation pipeline processing 1.2M+ batch records and 300K+ CDC events/day, ensuring data integrity across financial systems.
  • Leveraged Azure Databricks (PySpark) and ADF to validate model inputs/outputs, eliminating 15K+ recurring mismatches per quarter — experience directly transferable to model risk oversight and validation
  • Built automated pipeline monitoring with Logic Apps + KQL, reducing manual intervention by 60% and ensuring model data availability for downstream risk and finance processes.
Azure DatabricksPySparkAzure Data FactoryData EngineeringData Pipeline Development

Education

Birla Institute of Applied Sciences

Bachelor of Technology - BTech — Computer Science

Jan 2020Jun 2024

Delhi Public School - India

10+2 — Sciences (PCM) + Computer Science (C++)

May 2018Jul 2020

City Montessori School

High School — All Subject + Sciences + Computer education

Mar 2007Apr 2018

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