Samiha Sarwar

Data Analyst

Hyderabad, India 0+ yrs exp 80 · Excellent

About

Information Technology graduate (2026) with hands-on experience in SQL, Excel, Power BI, and Python, skilled in collecting, cleaning, validating, and analyzing large datasets to uncover trends, patterns, and correlations. Experienced in building interactive dashboards and reports that translate raw data into clear, actionable insights for stakeholders. Strong foundation in statistical analysis, data preprocessing and transformation, and machine learning fundamentals, with careful attention to detail, data integrity, and thorough documentation of processes and findings.

Skills & Expertise (20)

Python Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Data Cleaning & Validation Advanced

8.0/10

Years Exp

Exploratory data analysis Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

scikit-learn Intermediate

7.5/10

Years Exp

Statistical Analysis Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.5/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

Predictive Modeling Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

7.0/10

Years Exp

Model Evaluation Intermediate

7.0/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

Power BI Intermediate

6.5/10

XGBoost Intermediate

6.5/10

MySql Intermediate

6.5/10

Google Colab Intermediate

6.5/10

Git Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Work Experience

Machine Learning Intern

Elevvo

Feb 2026 - Mar 2026

Collected, cleaned, and validated real-world business datasets using Python and Pandas, checking for completeness, accuracy, and consistency before analysis. Analyzed datasets to identify patterns, trends, and correlations, applying statistical methods and exploratory data analysis to support data-driven problem-solving. Performed feature engineering and data preprocessing/transformation to prepare clean, reliable data for predictive modeling and reporting. Built data visualizations and dashboards to communicate findings, trends, and actionable business insights clearly to stakeholders. Documented data processes, methodologies, and analytical findings to support reproducibility and knowledge sharing across the team.