Summary
Overview
Work History
Education
Skills
Websites
Projects
Timeline
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Naveen Chacko Alex

2/166 Clarence Road , Indooroopilly , Brisbane,Queensland

Summary

Graduate Data Analyst with 1.5+ years of experience in sourcing fulfillment, ERP management, and business process optimization. Proficient in data visualization, machine learning, and deep learning using Python, R, and SQL. Completed a Master’s in Data Analytics from QUT. Seeking to apply data-driven strategies to enhance insights and optimize business processes.

Overview

3
3
years of professional experience

Work History

Research Assistant

QUT Vacation Research Experience Scheme
Brisbane, Queensland
11.2023 - 02.2024
  • Led a machine learning project focused on lower limb injury prediction using AFL player data, analyzing training loads, player demographics, and session specifics to forecast injury risks.
  • Engineered new features like the Acute-Chronic Workload Ratio (ACWR) to capture dynamic relationships between training loads and injury occurrences.
  • Applied data preprocessing techniques such as handling missing values, outliers, and data imbalances using SMOTE (Synthetic Minority Oversampling Technique).
  • Developed and evaluated predictive models using XGBoost, Decision Trees, and Random Forests, achieving a 75% F1-score with hyperparameter-tuned Decision Tree models.
  • Delivered insights on injury prevention strategies to improve athlete performance and reduce injury risks, supporting the advancement of sports medicine through predictive analytics.

Sports Statistician

Genius Sports
Brisbane, Queensland
01.2023 - 12.2023
  • Diligently collected and fed real-time data during soccer events of various leagues in Queensland, such as FQPL 1, FQPL 2, FQPL 3, and NPL, focusing on key metrics such as player statistics, scores, fouls, and time on the field.

Business Analyst

Genpact
Bengaluru, India
01.2021 - 01.2022
  • Collaborated closely with General Electric, a global leader in power conversion technologies, to provide business solutions adhering to Kaizen/Lean methodology.
  • Developed a machine learning model to forecast technician hours across 5 regions (Asia, Europe, North America, Latin America) for 12 skill sets, helping optimize resource planning and reduce wastage.
  • Played a critical role in initiating the process for Green Belt Certification for the machine learning project, improving stakeholder confidence and operational efficiency.
  • Managed Geological Mapping Projects by developing Tableau Desktop dashboards to provide visual insights into GE's onsite resources, improving operational decision-making.
  • Created and managed projects, sales orders, work order notifications, and purchase orders using SAP Powermax for multiple countries.
  • Conducted training sessions and workshops for clients and associates on using Powermax SAP systems, enhancing system proficiency across teams.
  • Led a team managing the purchase order delivery process from requisition to invoice, processing over 551 Purchase Orders valued at $18 million across the US and Latin American regions using Oracle ERP.
  • Successfully helped stakeholders optimize budgeting and resource planning, reducing inefficiencies, and improving project outcomes.

Education

Master of Data Analytics -

Queensland University of Technology
Brisbane, QLD
12.2024

Bachelor of Mechanical Engineering -

Saintgits College of Engineering
12.2020

Skills

  • Programming : Python , R , C# , SQL
  • Visualization software : Tableau , Power BI , Smartsheet
  • SAP ERP , Weka
  • Microsoft Azure Data engineering
  • Report Writing
  • Process Improvement
  • Process Mapping
  • Clear and Concise Communication
  • Analytical Problem Solving
  • Requirements Definition
  • Database Management
  • Geospatial analysis

Projects

Analysis of Unemployment Determinants in Australia (2018-2020)

Investigated key factors influencing unemployment using HILDA survey data. Applied machine learning techniques like SVM, Decision Trees, and Random Forests, addressing class imbalance with SMOTE and K-Means undersampling. Significant predictors included mental health, age, gender, and regional differences, providing insights for targeted unemployment policies.

Link : https://github.com/naveencalex/HILDAProject/blob/835655539cd417145d2558d01dbd517a08f58f46/Final_Adavanced_Preoject_703.ipynb

R Markdown: Injury analysis project using Generalized Linear Models

Negative Binomial Regression Model was applied to assess the influence of industry experience, safety regimes, annual bonuses, and qualifications on injury rates.Provided insights into which factors were statistically significant in reducing injuries, such as the experience level of workers and the effectiveness of different safety regimes.

Link: https://rpubs.com/Naveencalex/1223255

Timeline

Research Assistant

QUT Vacation Research Experience Scheme
11.2023 - 02.2024

Sports Statistician

Genius Sports
01.2023 - 12.2023

Business Analyst

Genpact
01.2021 - 01.2022

Master of Data Analytics -

Queensland University of Technology

Bachelor of Mechanical Engineering -

Saintgits College of Engineering

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Naveen Chacko Alex