DATA SCIENCE TECHNICAL MENTORSHIP PROGRAM

LET US HELP YOU ACHIEVE YOUR CAREER GOALS. ITS WHAT WE DO BEST.
Get Started

BECOMING A DATA SCIENTIST

Data Science Involves A Plethora Of Disciplines And Expertise Areas To Produce A Holistic, Thorough And Refined Look Into Raw Data. Data Science Has Grown Tremendously In Popularity And So Has The Competition. How Do We Combat That? How did we manage to get a 78% student hire rate within 12 months of graduation? Heres Our Recipe Of success where we help our students become hireable professionals.

CURRENT PROJECTS

DR. MAHDI SHAHBAB

SENIOR DATA SCIENTIST RBC

Dr. Mahdi Shahbaba is a Senior Data Scientist in Marketing Science team at RBC.

CUSTOMER PROFITABILITY USING RETAIL DATA

In this project you will explore retail data to build Machine Learning models and predict customer profitability as well as Lifetime Value (LTV). You need to cover all the steps of a generic data science project: data exploration, visualization, model selection, training, validation, fine-tuning, testing, etc. Then, after building your benchmark model, you will explore a wide range of Machine Learning algorithms for a complete comparison between results.

At the end, you will deploy your final model to Google Cloud Platform and make it accessible to other users. Through this process, you will gain invaluable skill sets of a full stack Data Scientist.

POTENTIAL EMPLOYMENT OPPORTUNITIES
  • Data Scientist in Retail Companies
  • Data Scientist in E-Commerce Companies
  • Data Scientist in Consulting Firms
PROJECT DURATION & COST

Program Duration: 5-7 months

Upfront Cost: $999

Upon Securing Employment: $8,000

DR. MOATAZ EL AYADI

ASSOCIATE DIRECTOR RBC

Dr. El Ayadi is an Associate Director in the Operational Risk Analytics team which is a part of the Group Risk Management (GRM).

KNOWLEDGE-BASED CHATBOT

Many organizations have domain-specific knowledge-base related to each of its departments, e. g., human resources, financial risk, … etc.In this project, students will develop a chatbot that facilitates the retrieval of specific information within the knowledge base through question-answers dialogues. That is, the chatbots ‘understands’ input questions and provides relevant answers which triggers more questions from the user.

Students will learn how to build a chatbot from scratch. This will involve techniques for text processing such as text cleaning, statistical language modelling, and vocabulary creation. They will develop two types of chatbots: rule-based chatbots and generative, aka AI, chatbots. In this regard, students will start by learning text processing techniques such as tokenization, word stemming and lemmatization and then they will learn about BNF grammar and rule-base matching. In addition, they will be introduced to common feature engineering techniques such as term frequency document inverse frequency (TFIDF) and latent semantic indexing (LSI) as well as more advanced methods such as Word2Vec and Doc2Vec. More importantly, students will learn how to build, design, train, validate, and test neural language models such as RNN/LSTM. Finally, particular attention will be focused on Seq2seq models which are used to encode input questions and output decoded answers using an RNN/LSTM-based language generating model.

Python 3.7 is the main programming language used in the course. Throughout this project, students will be using a variety of important python packages such as NLTK and spacy for text processing, Keras and tensorflow for designing and training neural networks, and common packages such as numpy, scipy, sci-kit learn, and pandas.

POTENTIAL EMPLOYMENT OPPORTUNITIES
  • Data Scientist in Legal Companies
  • Data Scientist Consultant
  • Data Scientist in Financial Institutions
PROJECT DURATION & COST

Program Duration: 6 months

Upfront Cost: $1500

Upon Securing Employment: $7,499

TANABY MOFRAD

DIRECTOR OF DATA SCIENCE TANGERINE BANK

Tanaby Zibamanzar Mofrad is a senior data scientists at Scotia Bank.

EVEREST BOOT CAMP

“Comparison of different classifiers in their ability to deal with data with imbalance class distributions”

In this project we will assess classification ability of multiple classification algorithms when dealing with imbalance data.

Algorithms which will be used: SVM, ANN, XGB, LGBM, Auto Encoder, AE + Kmeans Data: Data will provided by mentoring team and will be used in the project annotated as below: 10%, 20%, 30%, 90%,100%.

Each algorithm will be assessed on different data annotations. Data will be pushed in both Github and Source repo with proper documentation

POTENTIAL EMPLOYMENT OPPORTUNITIES
  • Data Scientist in Financial Institutions
  • Data Scientist in Telecom Companies
  • Data Scientist in Insurance Companies
PROJECT DURATION & COST

Program Duration: 5-7 months

Upfront Cost: $999

Upon Securing Employment: $8,000

DR. MAHDI SHAHBAB

SENIOR DATA SCIENTIST RBC

Dr. Mahdi Shahbaba is a Senior Data Scientist in Marketing Science team at RBC.

MARKETING CAMPAIGNS

In this project you will build Machine Learning models to predict client response to marketing campaigns. The trade-off between profit and response, marketing channel selection and cost minimization are some of the challenges that you have to overcome in any marketing campaign. You need to cover all the steps of a generic data science project: data exploration, visualization, model selection, training, validation, fine-tuning, testing, etc. After building your benchmark model, you will explore a wide range of Machine Learning algorithms for a complete comparison between results. At the end, you will deploy your final model to Google Cloud Platform and make it accessible to other users.

At the end, you will deploy your final model to Google Cloud Platform and make it accessible to other users. Through this process, you will gain invaluable skill sets of a full stack Data Scientist.

POTENTIAL EMPLOYMENT OPPORTUNITIES
  • Data Scientist in Financial Institutions
  • Data Scientist in Telecom Companies
  • Data Scientist in Insurance Companies
PROJECT DURATION & COST

Program Duration: 5-7 months

Upfront Cost: $999

Upon Securing Employment: $8,000

COMPLETE A TECHNICAL ASSESSMENT

AS A PART OF OUR APPLICATION PROCESS FOR THE TECHNICAL MENTORSHIP PROGRAM, ALL APPLICANTS MUST COMPLETE THE TECHNICAL ASSESSMENT.

ASSESSMENT

SPEAK WITH ONE OF OUR CONSULTANTS

BOOK A VIRTUAL MEETING USING THE FORM

to see how you can fast-track yourself to get a job with data science, finance, or software training at Lantern Institute!

  • Virtual consultation to cater a training plan specific per student
  • Learn about our current technical mentorship program and projects led by senior professionals
  • Find out how you can pay zero upfront fees to join
  • Receive tips and recommendations on courses and program options