Sai Paranthaman Email & Phone Number

New York, Ny, Us

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 variation.• 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.• Lead a 10 person Engineering team, reviewing SPC charts for yield, and identifying defect sources. Handled additional creation of SPC charts, updated dashboards, and analyzed data to determine actions needed.• Impact of SPC/dashboard efforts include manufacturing variation reduced by 10% and way for engineers to access and visualize data in clear, understandable format of their tools.

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 and manufacturing variation.

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 faster, more efficient-Tested devices for proper functioning, Gained hands on experience building device and how medical device works

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