ANIL IQBAL DATA ANALYTICS

About · Projects . Work Experience
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I am a results-oriented Digital Analytics professional with 8+ years of experience transforming data into actionable insights that drive business growth and optimize performance.

As a Digital Analytics Manager at Scotiabank, I’ve automated reporting, identified $100K in marketing inefficiencies, and enhanced resource allocation by 20%. Proficient in PowerBI, Tableau, SQL, Python, and Adobe Analytics, I excel in data visualization and strategic decision-making.

A two-time "Best of the Best Culture Catalyst Award" winner, I bring innovation, collaboration, and a proven track record of delivering measurable value across industries.

Data Science

Data Science

Data cleaning, Univariate & Bivariate analysis, statistics, data mining & wrangling.

Machine Learning

Machine Learning

Linear & Logistic Regression, Gradient Descent, KNN, Naive Bayes, GridSearchCV.

Deep Learning

Deep Learning

ANN (artificial neural networks), CNN (Convolutional Neural Networks) and RNN (Recurrent Neural Networks)

Programming

Programming

Python, Pandas, NumPy

Database

Database

MySQL, MS SQL Server,PostgreSQL, Google Cloud Platform, BiqQuery

Visualization

Visualization

Tableau, Power BI, Seaborn and Matplotlib

PROJECTS

Machine Learning & Deep Learning - Google, Apple, Amazon, Tesla & SP500 Stocks Prediction

Machine Learning & Deep Learning - Google, Apple, Amazon, Tesla & SP500 Stocks Prediction

Built & implemented a model to predict future stock predicitions of Google, Apple, Amazon, SP500, Tesla.

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Bank Customer Segmentation Using K-Means Clustering and ANN

Bank Customer Segmentation Using K-Means Clustering and ANN

The goal of this project is to apply customer segmentation on the dataset for a Bank in New York City. Visualized and explored data set to check that the assumptions K-means makes are fulfilled. In order to segment customers, K-means clustering algorithm, elbow method and Autoencoders are used

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Machine Learning - Credit Card Fraud Detection

Machine Learning - Credit Card Fraud Detection

Credit Card Fraud Detection - Machine Learning - The goal is to address the fraud credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.

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Machine Learning - Loan Default prediction

Machine Learning - Loan Default prediction

Machine Learning using scikit-learn Design bank loan default database schema in MySQL Use Pandas for feature engineering. Train various models with Gridsearch for loan default prediction Model validation using f1-score

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Deep Learning: Malaria Detection using CNN Model in TensorFlow & Keras

Deep Learning: Malaria Detection using CNN Model in TensorFlow & Keras

A deep learning project which uses CNN model in Tensorflow and Keras to predict and classify healthy and infected blood smear malaria images.

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Toronto Red light violations – Interactive Data Visualization in Python and Tableau

Toronto Red light violations – Interactive Data Visualization in Python and Tableau

To analyse and understand the Toronto traffic collisions and the root cause of the accident, which would help the local government to take action in order to make neighbourhoods safer for driving.

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Machine Learning - Netflix movie recommendation system

Machine Learning - Netflix movie recommendation system

Built & implemented a content-based Movie recommender system using SK Learn library. The cosine similarity metrics were used that denotes similarity between two movies.

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WORK EXPERIENCE