Data Scientist & Analyst - ML & BI

DISHA PARIKH

Data Scientist Data Analyst

Coram, NY • 973-***-**** • ***********.**@*****.*** • www.linkedin.com/in/disha-parikh211 PROFESSIONAL SUMMARY

Results-driven Data Scientist with 2+ years of machine learning experience and 8+ years of data-intensive background in pharmaceutical R&D. Skilled in predictive modeling, exploratory data analysis, and delivering insights that support strategic decision-making in accuracy-critical environments. Strong analytical thinker with the ability to communicate complex findings clearly to non-technical stakeholders, seeking a Data Scientist or Data Analyst role to drive measurable business impact.

TECHNICAL SKILLS

Languages: Python SQL R

ML & Modeling Techniques: Regression, Random Forest, KNN, D Trees, Clustering, Cross-Validation, Hyperparameter Tuning

Libraries & Tools: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Google Colab, Git Analytics: EDA, Feature Engineering, ETL, Data Cleaning, Predictive Modeling, Statistical Analysis, Visualization BI & Visualization: Power BI, Tableau, Advance Excel DATA SCIENCE EXPERIENCE - Internship

Junior Data Scientist — YUVA / Henry Harvin Remote Nov 2025 – Feb 2026

• Built end-to-end ML classification pipeline (EDA feature engineering encoding scaling cross-validation

model evaluation) using Python and Scikit-learn — achieving 85% accuracy with 12% lift post-hyperparameter tuning on customer churn prediction.

• Trained and compared Logistic Regression, Random Forest, and KNN models; applied cross-validation and generalization testing to prevent overfitting and optimize F1 score across unseen data splits.

• EDA on 10,000+ record datasets using Pandas, Matplotlib, and Seaborn — surfacing key correlations and outliers that directly informed feature selection and model design.

• Delivered stakeholder-facing Power BI dashboards translating model outputs into actionable retention strategies, communicating complex findings clearly to non-technical leadership. INDUSTRY EXPERIENCE

Associate R&D Project Manager — Amneal Pharmaceuticals Brookhaven, NY Mar 2021 – Nov 2025

• Managed data tracking, reporting dashboards, and submission analytics across 25+ concurrent R&D programs — delivering real-time visibility into timelines and resource allocation for cross-functional leadership.

• Prepared and submitted CPP documentation for international registrations; tracked global regulatory data across health authority filings to ensure on-time, compliant product approvals. Regulatory Affairs Associate II — Amneal Pharmaceuticals Brookhaven, NY Mar 2019 – Mar 2021

• Managed eCTD publishing and regulatory data compilation for FDA submissions — coordinating data inputs from 4+ departments and maintaining structured documentation to reduce review cycle time. Regulatory Affairs Associate I — Amneal Pharmaceuticals Brookhaven, NY · Jul 2017 – Mar 2019

• Compiled and validated regulatory submission packages for FDA filings, ensuring data accuracy and compliance across all documentation.

EDUCATION & PROFESSIONAL DEVELOPMENT

Post Graduate Diploma (Data Science) — Henry Harvin Education Oct 2024 – Nov 2025 Bachelor of Engineering (Computer Science) — Shri S’ad Vidya Mandal Institute of Technology, India2005 - 2009 Certifications:

IBM Data Science Professional Certificate Coursera / IBM Jun 2026 12-course program covering Python, SQL, Data Analysis, Data Visualization, Machine Learning, and Applied Capstone Project. Verify: www.coursera.org/verify/professional-cert/2XNTX8MMEL3C

Contact this candidate