Sakshi Ghorpade

Entry-Level Data Scientist with hands-on experience in Python, SQL, Machine Learning, Statistics, Data Analysis, and Data Visualization. Experienced in data cleaning, preprocessing, EDA, feature engineering, predictive modeling, model evaluation, and statistical analysis using Pandas, NumPy, and Scikit-learn. Developed machine learning projects using Logistic Regression, Random Forest, XGBoost, Decision Trees, and Gradient Boosting, with experience in cross-validation and hyperparameter tuning.

Familiar with NLP, Deep Learning, Generative AI, Power BI, Tableau, and ML model deployment. Strong analytical and problem-solving skills with the ability to transform data into actionable business insights.

Data Science Intern at Humanus Global PRIVATE LIMITED (2025-07 – 2026-01)

• Collected, cleaned, and analyzed complex datasets using Python, Pandas, and SQL to extract actionable business insights.
• Performed Exploratory Data Analysis (EDA) and created interactive data visualizations to identify key trends and patterns.
• Assisted in developing, tuning, and evaluating Machine Learning models for predictive analytics.
• Prepared analytical reports and dashboards for executive stakeholders using Power BI/Tableau.
• Automated data-processing tasks and data pipelines using Python and SQL scripts.
• Collaborated with cross-functional teams to gather requirements and deliver data-driven analytical solutions.

Bachelor of Computer Science – Pune University (2021 – 2024)