Fatima

Entry-level Data Analyst, Data Science Engineer, or ML Engineer

Mumbai, Maharashtra 0+ yrs exp 86 · Excellent

About

Data Science and AI/ML fresher (BCA, CGPA 8.4/10) with 3 end-to-end machine learning projects delivering measurable business outcomes: 0.9994 ROC-AUC on a 284,807-transaction fraud detection pipeline, RMSE of 21,000 on a 79-feature house price regression model, and 4.2% MAPE on a 12-month ARIMA sales forecast. Proficient in Python, Scikit-learn, Pandas, NumPy, XGBoost, and SQL/MySQL. Experienced in data preprocessing, feature engineering, model evaluation, and technical documentation. Seeking an entry-level Data Analyst, Data Science Engineer, or ML Engineer role where I can deploy predictive models and translate data into actionable business decisions.

Skills & Expertise (39)

Data Cleaning Advanced

8.5/10

0.5

Years Exp

Hyperparameter Tuning Advanced

8.5/10

0.5

Years Exp

Cross-Validation Advanced

8.5/10

0.5

Years Exp

Model Evaluation Advanced

8.5/10

0.5

Years Exp

Feature Engineering Advanced

8.5/10

0.5

Years Exp

Time Series Forecasting Advanced

8.5/10

0.5

Years Exp

Clustering Advanced

8.5/10

0.5

Years Exp

Classification Advanced

8.5/10

0.5

Years Exp

Regression Advanced

8.5/10

0.5

Years Exp

Seaborn Advanced

8.5/10

0.5

Years Exp

Matplotlib Advanced

8.5/10

0.5

Years Exp

Exploratory data analysis Advanced

8.5/10

0.5

Years Exp

NumPy Advanced

8.5/10

0.5

Years Exp

Pandas Advanced

8.5/10

0.5

Years Exp

scikit-learn Advanced

8.5/10

0.5

Years Exp

Data Visualization Advanced

8.5/10

0.5

Years Exp

Jupyter Notebook Advanced

8.5/10

0.5

Years Exp

Python Advanced

8.5/10

0.5

Years Exp

SQL Intermediate

7.5/10

0.5

Years Exp

ETL Pipelines Intermediate

7.5/10

0.5

Years Exp

Git Intermediate

7.5/10

0.5

Years Exp

GitHub Intermediate

7.5/10

0.5

Years Exp

VS Code Intermediate

7.5/10

0.5

Years Exp

Anaconda Intermediate

7.5/10

0.5

Years Exp

XGBoost Intermediate

7.5/10

0.5

Years Exp

SMOTE Intermediate

6.5/10

0.5

Years Exp

statsmodels Intermediate

6.5/10

0.5

Years Exp

Statistical Analysis Intermediate

6.5/10

0.5

Years Exp

JavaScript Intermediate

5.5/10

0.5

Years Exp

CSS3 Intermediate

5.5/10

0.5

Years Exp

HTML5 Intermediate

5.5/10

0.5

Years Exp

REST API Basics Intermediate

5.5/10

0.5

Years Exp

OOP Intermediate

5.5/10

0.5

Years Exp

SDLC Intermediate

5.5/10

0.5

Years Exp

A/B Testing Basics Intermediate

5.5/10

0.5

Years Exp

Java Beginner

4.5/10

C++ Beginner

3.5/10

Php Beginner

3.5/10

XAMPP Beginner

3.5/10

Work Experience

Data Science Intern

Skillfied Mentor

Jan 2026 - May 2026

Built 3 end-to-end supervised ML pipelines (classification, regression, time series) across datasets of 10,000–284,807 records; reduced manual data analysis time by 30% via automated evaluation reporting. Standardised data cleaning, outlier detection, feature encoding, and preprocessing pipelines — enabled 40% faster model deployment and ensured reproducibility across all projects. Authored comprehensive technical documentation for each model covering selection rationale, evaluation metrics (ROC-AUC, RMSE, MAPE, F1), and business interpretation for non-technical stakeholders.