Homayoon (Homi) Khadivi
Fullarton, Adelaide,SA
Summary
Innovative Data Scientist with 5 years of experience in designing and implementing data-driven solutions for complex business challenges. Expertise in predictive modeling, machine learning, and big data technologies, complemented by advanced skills in SQL, Python, Tableau, and Power BI. Proven track record of transforming complex datasets into actionable insights that enhance decision-making processes and improve business performance. Recognized for the ability to communicate technical findings effectively to non-technical stakeholders, facilitating strategic decisions across teams.
Overview
5
5
years of professional experience
Work History
Data Scientist
PointData Pty Ltd
Adelaide/ CBD, SA
03.2022 - 11.2024
- Advanced Dashboard Development: Developed and maintained interactive dashboards in Tableau and Power BI to enhance data accessibility and provide real-time insights into customer journey metrics, market trends, and engagement rates for the housing market industry, improving decision-making by 20%.
- Customer Journey and Lifecycle Analysis: Conducted in-depth lifecycle analyses to map the customer journey, identifying key touchpoints and opportunities to drive conversion and retention within the housing and real estate sector.
- Audience Segmentation and Targeting: Created target audience segments based on customer lifecycle stages, behaviours, and key triggers, enabling targeted strategies for retention, and improving engagement.
- End-to-End Analytics Initiative Oversight: Led end-to-end delivery of analytics projects focused on market insights and performance metrics, becoming a subject matter expert within the Data and Analytics department.
- Data Validation and Consistency: Ensured data accuracy by validating data sources used for performance metrics, supporting reliable measurement of lead and lag indicators relevant to customer and market insights.
- Data Modelling and Statistical Analysis: Applied data modelling and statistical techniques using SQL and Python to analyse complex datasets and inform strategic decisions for housing and market-based insights.
- Trend Identification and Real-Time Reporting: Developed user-friendly tools for identifying emerging trends in the housing market and providing real-time insights to stakeholders, enabling timely and proactive responses.
- Reporting and Insightful Communication: Produced routine and ad-hoc reports, including actionable insights for senior management that supported strategic decision-making and highlighted key performance trends.
- Collaborative Stakeholder Engagement: Partnered with cross-functional teams to ensure data solutions aligned with business requirements, translating technical insights into strategic recommendations for stakeholders.
- Mentorship and Knowledge Sharing: Provided mentorship to junior analysts, promoting best practices in data management, SQL, and Python, and fostering a collaborative team culture focused on high-quality data solutions.
Data Analysts | AI Specialist
Shine Healthcare Centre
Tehran, Tehran
10.2019 - 12.2021
- Healthcare Dashboards: Designed and deployed dashboards in Power BI to track healthcare metrics, providing real-time visibility into patient satisfaction and operational metrics.
Automated Data Pipeline: Built an automated pipeline using AWS Kinesis and Lambda to process healthcare data, enhancing data accuracy and reducing manual reporting by 30%.
Sentiment Analysis: Conducted Sentiment Analysis on patient feedback using Python NLP techniques, generating insights that helped improve customer satisfaction by 15%.
Cross-Functional Communication: Worked closely with clinical professional teams to communicate data insights effectively, leading to a collaborative approach to data-driven healthcare improvements.
Education
Bachelor of Science - Mining Engineering
AmirKabir University
Tehran, Iran09-2014
Skills
- Programming & Tools: Python, R, SQL, TensorFlow, PyTorch, Keras, Docker, MLflow, FastAPI, Streamlit, Power BI, Tableau, QGIS
- AI/ML Expertise: Deep Learning, NLP, Time Series Forecasting, LLMs, Transfer Learning, CNN
- MLOps & Deployment: CI/CD Pipelines, Docker, Kubernetes, MLflow, Model Monitoring
- NLP Specializations: Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Document Similarity
- Leadership: cross-functional collaboration, project management, Agile/Scrum, strategic road mapping
- Organization: Highly organized with extensive experience in project management using tools like Jira, Trello, and MS Project
Affiliations
- Certified Professional Swimmer with 8 years as a member of the National Swimming Team and a Certified International Lifeguard. Passionate about music, meditation, and reading.
Languages
English
Full Professional
Persian
Native/ Bilingual
German
Limited
Accomplishments
- 3D Visualisation of AirBnB Dataset
Timeline
Data Scientist
PointData Pty Ltd
03.2022 - 11.2024
Data Analysts | AI Specialist
Shine Healthcare Centre
10.2019 - 12.2021
Bachelor of Science - Mining Engineering
AmirKabir University
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