KUNJAN SHAH

Address: Lansdale, PA ***** Email Address: ad2xh2@r.postjobfree.com Phone #: Cell (973)~420~1821 Data management executive looking to help companies with Machine Learning/Deep Learning. Competent and result-oriented professional with 25 years of experience in the Pharmaceutical industry, specializing in implementing and supporting IT databases and data analysis. This Data Science professional possesses a valuable blend of technical and business acumen, with expertise in Python, ML/DL, and visualization. Demonstrating a history of delivering great value to customers by providing technical input and leading teams. Education and Certificates

MIT IDDS Machine Learning and Data Science Certificate Mar 2023 Python and statistics for data science Machine learning capstone project Recommendation Systems (Tensor, NN for Recommendation Systems)

Unsupervised learning (k-means and hierarchical

clustering, Gaussian Models, DBSCAN)

Deep Learning ( Feed-Forward Convolutional, and Graph Neural Networks)

Practical Data Science (Decision Trees, Random

Forests, Time Series Forecasting)

Machine Learning (Supervised Learning Regression & Classification)

Data analysis and Visualization (Dimensionality

Reduction PCA/t-SNE)

Kaggle: Intro to Machine learning/Deep Learning certificate Aug 2023 Veeva Vault Associate White Belt certification 2021 PMI: PMP (Project Management Professional) Certificate Six Sigma- Black Belt.

New Jersey Institute of Technology, College of Engineering, Newark, NJ Master of Science, Biomedical Engineer

Pharmaceutical Management Graduate Certificate

PROJECTS(https://eportfolio.mygreatlearning.com/kunjan)

-Home Loan approval project model enables banks to grant loans to qualified requesters and decline requests from unqualified ones. Conducted exploratory data analysis on bank loan data. Various machine learning models, Logistic Regression, Decision Tree, Tuned Decision Tree, Random Forest, and Tuned Random Forest were compared. The Tuned Random Forest model exhibited higher recall and precision, accurately predicting bank loan defaults. This model enables banks to grant loans to qualified requesters and decline requests from unqualified ones.

-HR Employee Attrition Prediction: Model allows to identify the different factors that drive attrition and to predict if an employee will attrite or not. Performed EDA, Models used logistic regression and KNN to achieve 91% accuracy.

-Kaggle Titanic Survival Rate- Machine Learning Prediction of survival rate.

-Diabetes: Exploratory data analysis and visualization of diabetes data. EXPERIENCE

Merck & Co ., Inc. Upper Gwynedd, PA (Sep. ’08 – Present) Senior Analyst Data Management (Veeva-Vault) 2012- Present

Analyze data using excel (Vlookup, Xlookup, Pivot table..).

Develop reports and dashboards as needed for users.

Regulatory data archive system Subject Matter Expert. Manage and support process/procedure updates, acceptance testing, information sharepoint site for the enterprise database system with ~ 5000 users to support regulatory affairs business needs (Document Archive). KUNJAN SHAH RESUME Page 2 of 2

Senior Engineer Merck, Vaccine Manufacturing Validation Dept. 2008-2012

Managed implementation of MIDAS Documentum- document management system to help business digitize content and to create electronic approvals. a) Managed Contractors b) Created and implemented new document management processes c)Trained employee d) Provided hypercare support.

Lead RFT (Right First Time) project for 6 sigma black belt. Built a custom access database to manage all validation RFT data. a)Worked with department leads to gather system requirements, b) hired contractor, c) performed UAT, d) Trained employees, e) Managed data cleaned activities and created reports/ RFT metrics for senior management.

Training management: upgraded from paper to electronic system, closed training gaps, tracked training for a large validation group. Lead lean six sigma green belt projects on training system. CEI, Ridgefield, NJ 07657 Contract Mfg, Filling and R&D OTC products. Manager, Quality Engineering -Promoted from Senior Engineer(Aug. ’05- Sep. ‘08)

Coordinated and executed Validation on Valdata database which controls Chemical Receiving and inventory for 5000 chemicals, QA LIMS, and Pre Weigh process.

Managed and implemented cGMP training software “Tuppas” project. Managed project to move from paper documents to electronic documents on MS Sharepoint software. Schering-Plough, Kenilsworth, NJ

Pharmaceutical Manufacturing Supervisor(2003-2005)

Managed 8 – 12 pharmaceutical operators to support departmental operations within the Tablet Manufacturing area in accordance with approved procedures.

.

COMPUTER SKILLS

Expert in MS Office (Word, Excel, Powerpoint, MS

Project, Visio)

Programming Languages: Python, HTML, basic

JavaScript/PHP

Website design, SharePoint site design JIRA issue tracking system Basic SAP, Basic SQL, HP Quality Center ALM Machine learning algorithms in google colaboratory Power BI intermediate SQL intermediate

SEMINARS

Project Management, Validation and FDA Compliance, Leading High Performance Teams, CTFA Cleaning/Sanitizing validation, P&G Auditor training, cGMP seminar, PMI (project management Institute) and Lean manufacturing seminars, 6 Sigma, Veeva Vault seminars. Agile training SOFT SKILLS / BEHAVIOURAL SKILLS

Strong organizational skills. Critical thinking/problem-solving skills. Ability to operate in a fast-paced environment. Excellent verbal and written communication skills. Excellent training development.

Contact this candidate