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Narayan Sethi

Analytical and dedicated to bring the best out of any task. Skilled in presentations and always ready to innovate and contribute creative ideas. Articulate communicator who thrives in a results driven collaborative environment. Worked upon speech-to-text project in Flask, Python & SQL. Also a musician who loves to connect with people via music.

  • Role

    Data Analyst & UX researcher

  • Years of Experience

    3.1 years

Skillsets

  • Agile methodologies
  • Api integration
  • Asana
  • Data Analysis
  • Data Cleaning
  • Data Engineering
  • Flask
  • Jira
  • Machine Learning
  • MS Office
  • Power BI
  • Python
  • Risk Management
  • Snowflake
  • SQL

Professional Summary

3.1Years
  • Jun, 2023 - Present2 yr 11 months

    Data Analyst

    Ascend
  • Jul, 2022 - Nov, 2022 4 months

    UX Researcher and Analyst

    in-House
  • Jun, 2022 - Nov, 2022 5 months

    Shipment Information Coordinator

    Ascend

Work History

3.1Years

Data Analyst

Ascend
Jun, 2023 - Present2 yr 11 months
    Transformed 80%+ of static reports into dynamic, interactive dashboards using Power BI, driving adoption by over 50 stakeholders company-wide including C-level executives. Resolved an average of 1-2 urgent SOS data/report requirements daily, ensuring data continuity and minimal downtime for business-critical reporting. Generated 80+ ad hoc reports and dashboards per quarter for cross-departmental needs, using SQL, Power BI, and advanced Excel. Automated complex data workflows, reducing manual effort by 40% for recurring data tasks across HR, sales, and operations. Ran audit cycles for driving 100% data accuracy and integrity in Ceridian Dayforce HCM system, troubleshooting and fixing technical issues for a workforce of 1000+ employees. Developed advanced spreadsheet tools streamlining business reporting and saving 10+ hours/month for end users.

UX Researcher and Analyst

in-House
Jul, 2022 - Nov, 2022 4 months
    Used third-party APIs for data retrieval and executed in-depth analysis. Built an ETL pipeline for FAANG data acquisition. Developed and communicated the data reports to stakeholders whilst collaborating in teams to achieve desired results of fetching target news.

Shipment Information Coordinator

Ascend
Jun, 2022 - Nov, 2022 5 months
    Implemented risk management strategies ensuring 99% on-time delivery and data accuracy in shipment records. Facilitated carrier-company communication and managed issues and critical situations.

Major Projects

2Projects

Credit Underwriting System

    Machine learning model for predicting loan eligibility. Conducted exploratory data analysis and utilized features such as assets owned, annual income, and credit history. Achieved 92% accuracy using logistic regression.

Heart Disease Prediction

    Built an ensemble model (Random Forest Classifier) to predict heart disease risk. Used metrics like confusion matrix and cross-validation, achieving 82% accuracy.

Education

  • Bachelor in Computer Applications

    Punjab Technical University (2022)

  • Intermediate

    CBSE