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Firmenich
Data Scientist
June 14, 2026 – Present
galadxy
June 9, 2026 – Present
A solution for operations, risk, and SOX controls across Galaxy Surfactants plants.
View ProjectAI-Driven-Manuf-Dashboard
May 19, 2026 – Present
Leading wholesale distribution across the U.S. and Canada for multifamily, institutional, hospitality, trades, government housing, healthcare, building services, and education customers.
View ProjectAI-Powered-Manufacturing-Insights
May 12, 2026 – Present
Synthetic operating dashboard for pharma manufacturing, quality, supply chain, technology transfer, and compliance.
View ProjectInternal_Audit_Demo
April 29, 2026 – Present
CxO-Level Insights for Global Plants (Aerospace, Transportation, Energy, Industrial)
View ProjectProject_Email_Marketing_Analytics
April 17, 2026 – Present
A Strategic Email Marketing & Behavioural Analytics Engine
View ProjectProject_PAP_Patient_Assistance_Program
April 17, 2026 – Present
The Patient Assistance Program (PAP) is a clinical and financial support initiative designed to provide medication free of charge to eligible individuals (Ex:. In India, Kiran or Sparsh programs) PAP managed by specialized third-party vendors to handle the high volume of documentation and eligibility verification required for high-cost therapies
View ProjectAnamoly-Detector
March 12, 2021 – March 12, 2021
PyCaret’s Anomaly Detection Module is an unsupervised machine learning module that is used for identifying rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically, the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors . This module provide several pre-processing features that prepares the data for modeling through setup function. This module has over 12 ready-to-use algorithms and several plots to analyze the results of trained models
View ProjectInsurance-Data-Analysis
August 9, 2020 – August 9, 2020
Exploratory data analysis using python
View ProjectProduct-assortment-sales-forecasting
July 11, 2020 – July 11, 2020
Retail analytics - product assortment and sales forecasting for multiple stores in USA
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of applications for data science, from retail analytics to healthcare and manufacturing, indicating adaptability. However, the descriptions are very high-level, making it difficult to assess the depth of engagement or alignment with specific cultural values like innovation or detailed problem-solving. The target role is 'Data Scientist', which aligns with the project themes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.