Leading and mentoring a team of Data Scientists to drive project delivery, establish standards, processes and guidelines and generate value for the organization

• All Projects for A large Pharmaceutical Company based out of New Jersey (USA)• Leading a team of 3 Data Scientists to deliver value to clients and solve complex problems• Designed and built an automated document auditing system leveraging Natural Language Processing and text mining for GxP level documents to assist auditors and document authors. o The system allows to translate SME defined documentation guidelines into technical rules.o The system parses documents, audits them as per the guidelines and generates human-like narrative.o The systems learns from feedback provided by auditors to inherently updates rules for continuous improvement.o Python, Natural Language Processing, Spacy, Named Entity Recognition, Question Answering Systems, Huggingface• Optimizing Site performances using mathematical modelling.o Modelling Clinical site patient enrolment as Poisson Processeso Python, Monte Carlo Simulations, Statistical modelling and Probability theory• Automated monthly analysis dashboards with Auto Exploratory Analysis, Visualisation and Narrative generation to reduce human hours spent.o Dashboards, Python

• Data-driven optimisation of insurance agent recruitment funnel to reduce costs associated with mass recruitment by 3x and increase recruitment quality by 2x.• Multiple projects in ML-based Credit Scoring to reduce SME loan delinquency by 20%.• Designed and built a Hybrid News Recommendation System leveraging content based and collaborative filtering techniques to increase Web Notification CTR.• Increased efficiency in customer onboarding by automating data extraction from uploaded documents using instance segmentation and image processing.• Python, R, Power BI, Tableau, Alteryx, SQL, Git, Credit Scoring, Image Processing, Recommendation Systems, Content Similarity, Collaborative Filtering, Market Basket Analysis

- Experienced in computational techniques such as Molecular Dynamics simulations, ligand design using sitemap analysis and structural analysis, Virtual screening, homology modelling, Residue Scanning amongst others.- Independent Project: Computational design and optimization of Mint2 inhibitors - Designed a novel potent inhibitor with affinity 50 times higher than the natural ligand.- Introducing conformational constraints on helical peptide ligands and monitor stability using Molecular Dynamics.- Developed and use a Residue Scanning protocol to perform high throughput unnatural mutations on peptide ligands.- Independent Project: Computational identification of novel inhibitors for G- proteins to disrupt GPCR signaling.- Use Homology modelling to model a structure for specific conformational states from subtypes in the same family.- Use Virtual Screening and docking to identify new small molecule ligands.- Use Residue Scanning to design and optimize peptide ligands.- Use R, Python to analyze, cluster, filter, and select the hits to be tested.- Solid theoretical knowledge about Medicinal Chemistry, Pharmacology, Computational Biology, and bioinformatics.

Worked on a Synthetic Organic Chemistry Project