Farhan Hasan

Data-driven engineer with an extensive track record of leveraging data analytics to drive production line efficiency, product enhancement, and agricultural optimization. Successful in achieving a 15% surge in product performance and streamlining production assembly timelines by 10% through strategic data analysis. My versatile application of data analytics across various industries and scenarios demonstrates my adaptability as a results-focused, data-driven problem solver.

Data Analyst February 2023 – June 2023

Omdena & Agreed Earth Remote

• Addressed project bottleneck by automating synthetic data generation with Python scripts which reduced workload from 7 days to only 10 hours. 
• Collected and built a data pipeline utilizing remote sensing data, geological soil data, and NASA climate data which gave farmland vegetation insights.
• Created impactful Power BI dashboard showing correlations between nitrous oxide emissions and remote sensing climate and soil data.
• Presented water utility stakeholders with data-driven insights on fertilizer impact, driving informed filtering decisions and substantial cost savings.

Mondelelz Intl. Hamilton, ON

• Reduced sugar waste by 5% through analysis of infrared sensor candy flow data, automated sugar feeder using PLC programming and recipe database.
• Analyzed candy and sugar scrap data to uncover correlations with candy steamer efficiency.
• Utilized MODAPTS to gather and meticulously analyze time study data, subsequently identifying areas for enhancing efficiency within the candy packaging production line.
• Implemented Lean Six Sigma tools (Ishikawa analysis) for substantial sugar waste reduction on production lines.

• Developed a content-based movie recommender app that aggregates data from multiple sources and incorporates information on streaming platforms where content is available, with the goal of solving the issue of overwhelming choices faced by streaming service audiences.
• Additionally, published in-depth business analyses of streaming services on Kaggle notebook. Deployed on streamlit.

• Scraped training and test data via Bing API, fostering data-driven insights for Movember campaign awareness.
• Elevated accessibility through seamless deployment on streamlit, driving user engagement and promoting public health awareness.

BLiNQ Networks Markham, ON

• Engineered a 15% improvement in product thermal performance by applying data analytics methodologies.
• Conducted meticulous measurements and analysis of thermal data, encompassing chip temperatures and ambient air temperatures, spanning a range of heatsink designs and fan configurations.
• Leveraged data loggers and Python scripts to seamlessly collect, refine, and process data from onboard sensors, ensuring utmost accuracy and reliability.
• Transformed raw data into actionable insights by harnessing Python's capabilities, generating comprehensive visualizations of thermal trends. 

Hypertec CIARA Montreal, QC

• Efficiently lowered GPU chip temperature by 15 degrees through meticulous analysis of thermal data, effectively fulfilling client performance requirements.
• Transformed product performance with streamlined airflow ducts and enhanced fan configuration, propelling 2000 additional sales by perfectly catering to client demands.
• Reduced server testing duration by 10%, a direct result of analysis of production line data, coupled with a design of a versatile modular plug-in server burning rack, seamlessly adaptable to diverse products.

Data Science Certificate

University Of Toronto • Toronto, ON • 2022

Bachelor of Engineering (Mechanical)

McGill University • Montreal, QC • 2017