ANIL IQBAL DATA SCIENTIST

About · Projects . Work Experience
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I am working as a Analytics Manager at IPG Group, Toronto where I help the top tier companies make better business decisions by using insights. I am a result oriented Data Analytics and Digital marketing professional with 6+ years of cross-industry experience. Proven track record of turning analytics data to business insights and successfully managing campaigns for clients including BMW, Kijiji Canada, Canadian Tire, State Farm Insurance, Audi, Jensen and Jensen, CIBC, Clorox, Red Bull and Reckitt Benckiser. Proficient in Salesforce CRM, SQL, Python, Excel, Adobe Analytics, SAS and data visualization tools such as Tableau, PowerBI and Google Data Studio.

I have completed MBA from University of New Bruinswick and I have completed Applied Machine Learning and Data Analytics bootcamp from WeCloudData, Toronto. Now I am looking for jobs that are related to Data science/Analytics large-scale dataset analysis and deployments of Machine Learning and Deep Learning models. I can think outside the box and goes above and beyond to solve complex problems and get the work done. My strength is in organizing and planning work in a responsible manner and accomplishing the goals on time

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

Search Strategist | Resolution Media, Part of Omnicom Media Group | (Jul 2018 – Present)

Executed remarketing campaigns to users who abandoned items in their shopping carts and bring them back tocomplete the transaction, which resulted in higher leads by 35% while conversion rate improved by 8%.

Improvised a campaign strategy by pausing poor performing keywords that were not converting into sales. This led to increase in ROAS of $6.31 (+38% vs targets) while reducing the overall spend by 14%.

Built key reports in Google Analytics for executive team around KPIs such as marketing spend, new leads,revenue generates, and ROAS, which saved 15 hours of manual reporting each week

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Search Engine Marketing Specialist | DAC Group. | (Jan 2016 – Oct 2017)

Enhanced campaigns performance by reducing bids on underperforming locations & created ad-scheduling todisable campaigns during low response period. The account delivered a 22% growth in call volume whilereducing cost per conversion by 39%.

Planned a holistic paid acquisition strategy which ultimately leading to an ROAS of $44 for every dollar spent.Improved by creating tightly themed keywords, added negative keywords, implementing a smart-bidding strategy.

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Digital Marketing Strategist | Adster Creative. | ( May 2015 – Oct 2015)

Built a robust hyper-local PPC campaign which resonates with the local audience, leading to an increase in monthly call of over 60% and Contact Us form submissions of over 85% was achieved.

Performed regular optimizations to improve QS for large sets of keywords across 2 sites on AdWords, seeing consistent improvements in QS (from 3 to 7+), CTR (200% improvement) and CPC (decreased by 30%)

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Digital Media Coordinator | Starburst Creative. | ( Oct 2014 – Apr 2015)

Provided ongoing analysis and monitoring of paid search & display campaigns with an eye to proactively expanding and improving campaigns based on client business needs.

Optimized websites using ethical SEO practices to increase the visibility of websites in the search engines.

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