Shekhar Patel
Sydney,NSW
Summary
Highly analytical Data Scientist with a strong mathematical background from a leading university. Proven expertise in working with large data sets, statistical forecasting, and algorithmic coding. Experienced in building predictive models and performing data cleansing. Passionate about problem-solving and delivering innovative solutions in algorithmic trading environments.
Overview
2
2
years of professional experience
Work History
Data Scientist
Data Analytics Solutions
Sydney
01.2023 - 02.2024
- Collaborated with senior mathematicians to develop predictive models, resulting in a 15% increase in forecasting accuracy for client portfolios.
- Led the implementation of data cleansing protocols for large legacy data sets, reducing data processing time by 20%.
- Utilized R and SQL to analyze and extract large data sets, improving data retrieval efficiency by 25%.
- Developed and fine-tuned regression models, leading to enhanced algorithmic trading strategies.
- Worked closely with software engineers to integrate predictive models into client systems, streamlining operational workflows.
Undergraduate Student Researcher
Western Sydney University
Sydney
07.2022 - 12.2022
- Developed computational support for CRISP-ML, enhancing interpretability and causality in data science projects.
- Created 5 interpretability and 4 causality matrices.
- Utilized Python libraries (NumPy, pandas, matplotlib) to handle 1TB of data, achieving 30% faster analysis.
- Automated CRISP-ML processes, reducing manual efforts by 40%.
- Improved efficiency and quality of 10+ industrial data science projects, increasing project success rate by 25%.
Junior Data Analyst Intern
Financial Modelling Group
Sydney
06.2022 - 12.2022
- Assisted in the cleansing and structuring of large financial data sets, ensuring data integrity and reliability.
- Conducted statistical forecasting analyses, contributing to a 10% improvement in predictive accuracy for trading algorithms.
- Supported the development of factor models to identify key predictors of market trends.
- Created and maintained SQL databases to manage and query extensive data sets efficiently.
- Participated in team brainstorming sessions, providing innovative ideas for new data-driven solutions.
Data Entry Clerk
Global Data Systems
Sydney
01.2022 - 06.2022
- Accurately entered, updated, and maintained large volumes of data in company databases, ensuring 99% data accuracy.
- Streamlined data entry processes, reducing entry time by 15% through the implementation of efficient techniques and tools.
- Conducted regular data quality checks and audits, identifying and correcting discrepancies, which improved data reliability by 10%.
- Assisted in the development of a new data entry protocol that enhanced team productivity by 20%.
- Collaborated with the IT team to troubleshoot and resolve data-related issues promptly, minimizing downtime.
Education
Bachelor of Data Science - Data Science
Western Sydney University
01-2024
Skills
- Programming Languages: R, SQL, Python
- Data Analysis Tools: RStudio, SQL Server, Pandas, NumPy
- Statistical Techniques: Regression Modelling, Time Series Analysis, Factor Analysis
- Other: Algorithmic Coding, Data Cleansing, Predictive Analytics, Data Entry
Languages
English
Native/ Bilingual
Hindi
Native/ Bilingual
Gujarati
Native/ Bilingual
Timeline
Data Scientist
Data Analytics Solutions
01.2023 - 02.2024
Undergraduate Student Researcher
Western Sydney University
07.2022 - 12.2022
Junior Data Analyst Intern
Financial Modelling Group
06.2022 - 12.2022
Data Entry Clerk
Global Data Systems
01.2022 - 06.2022
Bachelor of Data Science - Data Science
Western Sydney University
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