Shaik Nabi
Professional Summary
Data Scientist with 0-1 years of experience applying Python, SQL and ML techniques to clean, analyze and model data. Hands-on experience in EDA, building ML models with scikit-learn and TensorFlow, and delivering dashboards in Tableau and Power BI to support data-driven decisions. Seeking an entry-level Data Scientist role to apply model development, data engineering and visualization skills.
Technical Skills
Work Experience
- Optimized data preprocessing pipelines using Pandas and vectorized operations, reducing end-to-end preprocessing time by 25% and improving model training throughput.
- Performed exploratory data analysis on 5,000+ records with Pandas, NumPy, Matplotlib and Seaborn to identify high-impact features and guide feature engineering decisions.
- Developed and validated supervised machine learning models using scikit-learn and TensorFlow, achieving >90% accuracy on internal validation sets and improving baseline predictions.
- Implemented data validation and cleaning routines in Python and SQL (MySQL/PostgreSQL), reducing data quality errors and increasing reliability of analytics and reports.
- Built interactive dashboards in Tableau and Power BI to visualize KPIs, model outputs and trends, enabling stakeholders to monitor performance and make data-driven choices.
- Documented end-to-end workflows and model insights in Jupyter Notebooks and GitHub, standardizing processes and increasing team efficiency for future projects.
Projects
- Grouped countries using clustering algorithms on development indicators (GDP, education, healthcare) to reveal similarity segments for policy analysis.
- Processed and normalized multi-source data, engineered features and selected clustering parameters to maximize silhouette scores and interpretability.
- Visualized clusters and key indicators with Seaborn and Tableau to communicate patterns and actionable insights for resource allocation decisions.
- Designed a PostgreSQL schema to manage employee records, attendance and payroll for a sample HRM system.
- Implemented data validation and transformation routines using Python and Pandas to ensure consistent employee data quality.
- Built dashboards in Power BI to display employee performance metrics and attendance trends for HR stakeholders.
- Developed a CRM backend using MySQL to track customer interactions and sales data.
- Created reports and Tableau dashboards to monitor customer activity and sales performance.
- Wrote SQL queries for data extraction and conducted data cleaning to support accurate reporting.
Education
Certifications
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