Open to opportunities

Amna Ameer

@amnaameer

Message

Experienced Mathematician and Statistician with expertise in Machine Learning.

Pakistan

Message

What I'm looking for

I am looking for a role that allows me to utilize my machine learning expertise in a collaborative environment, focusing on innovative projects that drive real-world impact.

I am a Mathematician and Statistician with over 5 years of teaching experience in Mathematics. My academic background includes a Master’s degree in Mathematics from Lahore College For Women University, where I graduated with an 'A' grade. I possess a strong foundation in Machine Learning, Deep Learning, and Computer Vision, and I am eager to apply my knowledge in a professional setting.

Throughout my career, I have developed and executed various machine learning projects, including anomaly detection in bank transactions and price prediction for Brent oil. My commitment to ethical data practices is evident in my work, particularly in healthcare solutions, where I achieved a 95% accuracy rate in predicting blood cancer using advanced deep learning techniques. I am passionate about leveraging my skills to drive impactful data-driven decisions.

Experience

Work history, roles, and key accomplishments

Data Scientist

Self Employed

Developed a USA Aircraft Fare Price Prediction model achieving 88% accuracy with Random Forest Regressor. Performed extensive Exploratory Data Analysis (EDA) and data preprocessing.

Random Forest Matplotlib Plotly

Mathematics Teacher

Lahore College For Women University

Sep 2005 - Present (19 years 9 months)

Taught mathematics to students at the university level, covering various topics within the curriculum. Guided students through complex mathematical concepts and problem-solving techniques.

Mathematics Teaching Curriculum Development Problem Solving

Machine Learning Project Lead

Self Employed

Developed a Bank Transaction Anomaly Detection system using Isolation Forest and Z-Score methods. Visualized data with Matplotlib to identify outliers effectively.

Anomaly Detection Isolation Forest Z Score Matplotlib Data Visualization

Deep Learning Engineer

Self Employed

Orchestrated the development of a Blood Cancer Recognition model using VGG16, achieving 95% accuracy, F1 score, recall, and precision. Demonstrated commitment to ethical data practices in healthcare solutions.

Deep Learning VGG16 Image Recognition

Time Series Analyst

Self Employed

Achieved 99% accuracy in Brent Oil Price Prediction using the SARIMAX time series model. Conducted experiments with SARIMAX and Prophet models to determine the most suitable approach.

Time Series Analysis Prophet Model Hypothesis Testing Data Visualization

NLP Engineer

Self Employed

Developed a Sentiment Analysis model for Amazon Fine Food Reviews using LSTM, achieving 78% accuracy. Performed text preprocessing including cleaning, lowercasing, and stemming/lemmatizing.

Natural Language Processing Data Cleaning