Sai Paranthaman Email & Phone Number

New York, NY, US

New York City, New York, US

San Diego, CA, US

• Data Engineer (Product)Led development for SPC for manufacturing processes. Created dashboards for SPC charts and provided data insights (datamining, predictive analytics) to stakeholders on reducing manufacturing.
• Familiar with cloud (Azure), Azure Data Factory, Azure Data Lake storage, Synapse, Databricks etc.
• Built ETL pipeline from scratch. EXTRACT (Mircosoft SQL Server, S3), transform (PYTHON), and load data to automated dashboard so engineers can view data viz for yield metrics.
• Used Asana for an agile environment, working in biweekly sprints, to maintain existing data pipelines and update dashboards.
• Analyzed time series data for analysis to fulfill data requests. Used python to create Vital Signs script, showcased visualizations for yield metrics (R, PYTHON, Tableau)
• Collaborated with stakeholders to ensure they had the data they needed and additional data analysis requested for manufacturing issues.

Santa Clara, California, US

• Held daily meetings to review yield health and present data analysis to stakeholders. Datamined and used predictive analytics to ensure defect issues were contained.
• Data mined data (SQL, PYTHON), investigated defect trends and provided insights to stakeholders on impact to yield health and updated documentation for additional actions.
• Used machine learning (supervised learning), predictive modeling techniques in Python, including support vector machines on defect data, to predict defect count using parameters such as GT Height and GT Rec.
• Improved yield 20%, based on insights to reduce defect issues, find root cause.
• Influencing stakeholders in task force meetings to act on tools, based on data analysis. Saved thousands of dollars, detecting defect issues early in the manufacturing process.
• Extracted (SQL), analyzed time series data, presented data to management/stakeholders (JMP, PYTHON, Tableau) to show what defect issues were and the root cause, via storytelling. Findings significantly reduced defects.

Minneapolis, MN, US

-Assembled PI sonicision device (Ultrasound device used for laparoscopic procedure for soft tissue dissection, able to cut and seal tissue)-Worked alongside cleanroom engineers, recognized and solved problems if device not properly assembled -Offered solutions to improve manufacturing process of device, restructured parts of assembly line to make process.

• Project was to create targeted and sustained photoactive penetrating nanogel system to eradicate recurrent Urinary tract infections.
• Synthesized nanogel using polymerization and loaded nanogels with fluorescence drug.
• Calculated drug efficiency, drug encapsulations, created drug release profiles for different time periods using excel
• Developed analytical problem solving to synthesize a nanogel system giving optimal drug delivery
• Maintained collaborative effort in high pressure situations to solve problems
• Analyze data and determine most efficient nanogel systems using excel

Denver, Colorado, US

-Tasked to locate buildings with dark fiber using google maps and then updating information into SALESFORCE. -Enforced and motivated our group to meet certain deadlines. -Worked well in high pressure situations by meeting deadlines and successfully completing projects. -Used EXCEL to update information on dark fiber locations for buildings owned by Zayo

Master Of Science - Ms, Analytics

Bachelor’S Degree, Chemical And Biological Engineering