Open to opportunities

Harsha Joseph

@harshajoseph

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Results-driven Data Scientist with expertise in data architecture and analytics.

New Zealand

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What I'm looking for

I am looking for a role that offers opportunities for growth, collaboration, and the chance to make a significant impact through data-driven decision-making.

I am a results-driven Data Scientist with a strong foundation in data architecture, machine learning, and analytics. My expertise lies in building scalable data pipelines, optimizing ETL workflows, and leveraging big data technologies to drive business impact. I excel at transforming complex datasets into meaningful insights through statistical analysis and predictive modeling.

In my role as a Sustainability Data Analyst at CLS Holdings Plc, I managed large-scale data operations, ensuring the accuracy and reliability of business-critical data. I designed and optimized ETL pipelines, integrating data from diverse sources to enhance reporting efficiency. My experience in handling structured and unstructured data, combined with expertise in data visualization, allowed me to translate complex datasets into actionable insights.

Throughout my career, I have collaborated with cross-functional teams to implement data-driven strategies that enhance decision-making and operational efficiency. I am committed to continuous learning and mastering data technologies, which has enabled me to optimize workflows and extract deeper insights from real estate data and healthcare analytics.

Experience

Work history, roles, and key accomplishments

Sustainability Data Analyst

CLS Holdings Plc

May 2023 - Sep 2023 (4 months)

Managed large-scale data operations for sustainability initiatives, ensuring data accuracy and accessibility. Designed and optimized ETL pipelines, integrating diverse data sources to enhance reporting efficiency. Collaborated with stakeholders to drive data analytics solutions and improve decision-making.

Data Analysis ETL SQL Python Data Visualization Stakeholder Management Data Management Reporting

Data Analyst

RealEstate.co.nz

Dec 2021 - Jan 2022 (1 month)

Led automation of the Property Report, enhancing data accuracy and efficiency. Developed R scripts for data cleansing and trend analysis, contributing to improved market insights. Collaborated with stakeholders to streamline reporting processes and enhance performance monitoring.

Data Automation R Programming Data Analysis Salesforce Reporting Market Trends Data Visualization Stakeholder Engagement Performance Monitoring

Information Analyst

Te Aho o Te Kahu

Jan 2021 - Jan 2022 (11 months)

Analyzed cancer treatment data and co-led the COVID-19 Impact Report. Developed R scripts for data manipulation and regression analysis, supporting evidence-based healthcare decisions. Engaged with stakeholders to enhance data quality and reporting frameworks.

Data Analysis R Programming Healthcare Analytics Reporting Stakeholder Engagement Data Quality Performance Monitoring Data Visualization

Data Analyst

Auckland District Health Board

May 2019 - Mar 2020 (10 months)

Responsible for costing and revenue analysis in the Cardiovascular and Cancer & Blood Directorates. Improved reporting processes and data quality through the implementation of digital forms and continuous stakeholder engagement.

Data Analysis Revenue Analysis Process Improvement Stakeholder Engagement Reporting Data Quality Digital Transformation Healthcare Analytics

Digital Data Analyst Intern

Tower Insurance

Jun 2017 - May 2019 (1 year 11 months)

Analyzed online user behavior and provided actionable insights to improve customer journeys. Automated reporting processes to enhance operational efficiency and identified conversion optimization opportunities.

Data Analysis User Behavior Analysis Customer Journey Mapping Digital Analytics Trend Analysis Funnel Analysis

Education

Degrees, certifications, and relevant coursework

Auckland University of Technology

Bachelor of Mathematics, Data Analytics

2013 - 2015

Bachelor of Mathematics majoring in Data Analytics, covering topics such as Algebra and Calculus, Probability and Statistics, Forecasting, Statistical Inference, Statistical Data Analysis, Industrial and Business Analytics, Multivariate Data Analysis, Stochastic Modelling, and Financial Modelling and Computation.