

R&D professional with experience in heterogeneous catalysis, analytical instrumentation, and advanced data analytics. Extensive experience in working under regulatory environments like GMP/ISO/NABL, contributing to method development, investigation, and machine learning-driven solutions to complex datasets. Demonstrated experience in catalyst designing, characterization, reaction optimization, and predictive modelling of catalytic processes. Contributed to drug filing and deficiency responses, technical insights leading to successful sales opportunities, and authored research publications in international peer-reviewed journals by international and industrial collaborative projects. Have experience in computer programming by Python and intermediate fluency in French (DELF B1 Certified)
Instrumentation and Data Analysis : [Instrumentation] DLS and Particle Size Analysis, PXRD, TGA, DSC, SAXS [Data Analysis] : XPS, SMLS, SEC-MALS, TEM , Bio-Catalytic (Enzymatic) Kinetics
Software and Programming : MATLAB (PLS Toolbox), JMP, In-House chemometrics software, Python
Key Roles:
1. Conducted exploratory data analysis (PCA, K-nearest neighbours, hierarchical clustering, etc.) and predictive modelling (SIMCA) to assess the similarities between in-house and reference-listed drug products and establish similarity criteria
2. Developed machine learning-based XRD data analysis pipeline (preprocessing, PCA , clustering) using in-house analytics software for trace polymorph detection—reducing manual analysis efforts by 80%
3. Used python packages such as pandas, numpy, scipy, lmfit, matplotlib etc to investigate and visualise spectroscopic data by X-Ray Photoelectron Spectroscopy
Instrumentation and Data Analysis : ICP-OES and ICP-MS, Microwave Digester
Key Roles
Instrumentation And Data Analysis : Physisorption, Chemisorption (TPR/TPO/TPD, Static and Pulse Chemisorption) , Mercury Porosimetry, Capillary Flow Porometry, Gas Pycnometry, Laser Diffraction, Dynamic-Static-Electrophoretic Light Scattering, Electrokinetic (streaming potential) Analysis, Dynamic Image Analysis etc
Key Roles
Heterogeneous Catalysis
Analytical Instrumentation
Reaction and Process Optimisation
1. "Machine Learning-Driven Evaluation of Benzyl Alcohol to Benzaldehyde Conversion over Functionalized CeO₂ Catalysts from Past Research Publications" (Unpublished work)
- An independent and collaborative meta-analysis based on python based exploratory data analysis, feature importance evaluation and predictive modelling of catalytic process. Demonstrates the use of packages like scit-learn, XGBoost, SHAP, UMAP etc to obtain data insights and 92% prediction accuracy of catalytic yield
2. "Applied Data Science Capstone Project" by IBM and Coursera
- Completed as part of "IBM Data Science Professional Certificate". The project invloved the data collection, analysis and prediction about SpaceX Falcon-9 launches. The core skills used in this project were webscraping, data wrangling, data visualization and machine learning by languages like python and SQL.
3. "Data Science Project: MATLAB for the Real World " online Capstone by MathWorks through Coursera
"DELF B1" in French Language issued by The French Ministry of National Education
Selected Peer Reviewed Publications
(Complete list available in Google Scholar https://scholar.google.com/citations?hl=en&user=eaFtLJsAAAAJ)
Book Chapter
Conferences / Workshops
"Caltech Post Graduate Program in Data Science" - Authorised by Caltech / Delivered by Simplilearn
"IBM Data Science Professional Certificate" by IBM/Coursera
"DELF B1" in French Language issued by The French Ministry of National Education
"A1 Certification in German" by ISM Dhanbad (Grade A+)