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Never Forget WhatEver we do is only for Good Life-Choose Wisely
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Never Forget WhatEver we do is only for Good Life-Choose Wisely

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Akram Hussain

RZ-4A, New Uttam Nagar, New Delhi, 110059
πŸ“ž +91 7389221938 | πŸ“§ [email protected]

πŸ”— LinkedIn | πŸ”— GitHub | πŸ”— Kaggle


πŸ‘¨β€πŸ’» Professional Summary

Results-driven Data Analyst with 2+ years of experience in healthcare analytics and product reliability for clients like Honeywell and Envision Healthcare.
Proficient in Python, SQL, Power BI, and Tableau for automation, predictive modeling, and interactive dashboarding.
Strong expertise in RCM analytics, reliability engineering, and delivering data-driven insights that optimize business outcomes.


πŸ›  Skills

  • Python: Pandas, NumPy, Matplotlib, Seaborn
  • SQL: Advanced Querying, ETL, Data Cleaning
  • Power BI: Interactive Dashboards, KPI Reporting, DAX
  • Tableau: Claims Dashboards, Visual Storytelling
  • Healthcare Analytics: RCM, Claim Denials, HIPAA Compliance
  • Reliability Engineering: MTBF, Weibull, Warranty Analysis
  • Machine Learning: Regression, Forecasting, Failure Prediction
  • Data Automation: Python Scripts, SQL Pipelines, RPA, Power Query
  • Cross-functional Collaboration: Engineering, QA, Billing, Clinical Teams
  • Root Cause & Risk Analysis: Failure Modes, Revenue Leakage

πŸ’Ό Experience

πŸ”§ Product Reliability Engineer

Cyient Ltd (Client: Honeywell) β€” 2023 – Present

  • Automated data extraction and analysis of global product reliability datasets using Python & SQL.
  • Conducted MTBF, Weibull modeling, and Pareto analysis to identify failure patterns and cost drivers.
  • Built interactive Power BI dashboards for real-time monitoring of failures and lifecycle performance.
  • Applied ML forecasting to predict component failures and optimize maintenance cycles.
  • Collaborated with engineering & QA teams to implement design improvements.
  • Achieved 7/7 customer satisfaction for impactful analytics and automation solutions.

πŸ“Š Associate – Data Analyst

WNS Global Services (Client: Envision Healthcare) β€” 2022 – 2023

  • Processed large-scale healthcare claims data using SQL, Python, and Excel Power Query.
  • Developed Tableau dashboards for claim denials, reimbursement trends, and aging reports.
  • Automated ETL pipelines, reducing manual reporting efforts by 40%.
  • Identified revenue leakage & claim rejection causes, enhancing RCM performance.
  • Collaborated with RPA teams to transform bulk claim files and ensure HIPAA compliance.

πŸ“ Projects

  • Insurance Claim Management – Envision Healthcare
    End-to-end claim analytics using Python, SQL, Tableau with ETL automation and denial tracking.
    πŸ”— Case Study Link

  • Field Failure Analysis – Honeywell OEM
    Predictive field failure analysis with Python & Power BI, reducing warranty costs and enabling preventive maintenance.
    πŸ”— Case Study Link

  • Healthcare Analytics Dashboard – Power BI
    Developed an interactive RCM dashboard for claims, denials, and revenue trends.
    πŸ”— View Dashboard Demo


πŸŽ“ Education

  • B.Sc. – Singhania University, 2022 – 8.4 CGPA
  • Masters in Data Analytics / Data Science – Top Mentors E-Learning, 2025

πŸ“œ Certifications

  • Data Analytics using Pandas – Udemy
  • SQL – YouTube Learning
  • Power BI – Alison Learning
  • Lean Six Sigma (Yellow Belt) – Alison Learning

Pinned Loading

  1. SQL_DWH_Building-from-Stratch SQL_DWH_Building-from-Stratch Public

    Build a Model Data WareHouse with SQL Server Including ETL, Data Modeling and Analytics

    TSQL

  2. PowerBI-WorkSpace PowerBI-WorkSpace Public

    1

  3. PROFILE_RESUME PROFILE_RESUME Public

    1

  4. Hospital-Encounters-Analysis Hospital-Encounters-Analysis Public

  5. Weibull-Analysis-and-Data-Forecasting Weibull-Analysis-and-Data-Forecasting Public

    Weibull Predictive Analysis and Future Forecasting using Regression Formula

    1

  6. Employee-Churn-Analysis-using-Rainforest-Model-using-PyCaret-Library Employee-Churn-Analysis-using-Rainforest-Model-using-PyCaret-Library Public

    Jupyter Notebook 1