Summary
Overview
Work History
Education
Skills
Timeline
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Abhishek Najbile

Oakville,ON Canada

Summary

A dynamic and passionate AI/ML expert with more than 7 years of experience helping large organizations drive business value using machine learning (ML) and natural language processing (NLP). With track record of success in agile application of ML, data analytics, project management, risk management, process/performance improvement and stakeholder management.

Overview

9
9
years of professional experience

Work History

Senior Data Scientist

TELUS
01.2020 - Current
  • Led the architecture and solutioning of data science projects at TELUS procurement organization, applying strong ML and data modelling skills to develop and implement data-driven solutions
  • Identified $10M in savings from insights generated by successfully implementing one-of-a-kind Contract Analytics engine for TELUS procurement using advanced NLP
  • Realized $5M in savings from efficiency gained in streamlining the contacting process by successfully implementing a novel contract generation algorithm using advanced ML
  • Identified $22M incremental savings opportunity by successfully implementing a supervised ML model that categorizes ~$11B in spend annually
  • Built data ingestion pipeline from ERP systems to GCP
  • Spearheaded Data Quality and governance initiatives
  • Coached the data team throughout short and long-term projects, redefining documentation frequently

Senior Consultant/Data Scientist

CIBC
05.2018 - 12.2019
  • Developed a prediction algorithm to classify Mutual Fund break codes vastly reducing the time by ~30% spent on manual investigations
  • Developed a prediction algorithm to classify ISDA taxonomy financial products and FpML documents based on trade data from proprietary trade systems using advanced ML techniques
  • Led the initiative to use AI and ML techniques in order to meet and exceed expected SLA of our stakeholders

Senior Consultant

Scotiabank
11.2017 - 04.2018
  • Provided business support to all global FX units, including Mexico business partners
  • Served as a liaison between the business community and the IT organization in order to provide technical solutions to meet user needs
  • Participated in Wall Street Systems implementation process by defining business requirements and processes
  • Developed fast strategies and test cases, performed testing, defined user procedures and workflows for the ScotiaFX web portal upgrade

Data Scientist

OptionMetrics
05.2017 - 10.2017
  • Developed a new Dividend Projection algorithm and led an initiative in designing a proprietary web calculation engine for Implied Volatility and Greeks
  • Used ML techniques to predict the probability of failure in daily EOD workflows
  • Successfully implemented OpenFIGI as an identifier across 8000 European and Asian securities in the database saving the company $500K on yearly data costs
  • Created custom reports, dashboards and documented complex workflows to identify gaps in the data and provided solutions to reduce the downtime of FTP servers
  • Spearheaded the cleanup of historical Options data in order to calculate correct Implied Volatility and Greeks

Senior Consultant

Deutsche Bank
12.2015 - 05.2017
  • Successfully collaborated in the calibration and validation of AML scenario models and behavior detection logic
  • Designed and developed an algorithm for customer segmentation using latest ML techniques
  • Utilized advanced data mining techniques and ran statistical tests on large data sets on transactions and alert data
  • Initiated documenting complex AML ETL workflows from Informatica

Regulatory Reporting Analyst

CIBC
06.2014 - 12.2015
  • Performed statistical analysis of daily commodity derivatives trade data to find trends and patterns of breaks
  • Developed a prediction algorithm to classify the breaks in portfolio reconciliation process
  • Performed gap analysis in regards to Dodd-Frank portfolio reconciliation, Volcker, MiFID as well as Canadian Regulatory Reporting
  • Reported Swap data to repositories in order to comply with Dodd-Frank and EMIR
  • Mapped business processes and performed impact analysis of new requirements to the system
  • Conducted data analysis in order to migrate the database to a new in-house built regulatory reporting system

Education

Data Science Certificate -

University of Toronto
Toronto, ON
12.2019

Masters of Art - Economics, Financial Econometrics

York University
Toronto, ON
04.2013

Bachelor of Arts - Economics

York University
Toronto, ON
04.2012

Bachelor of Arts - Business Economics

York University
Toronto, ON
10.2008

Skills

  • Agile, SDLC, Waterfall Projects using Scrum methodology
  • Natural Language Processing, Transformers, Deep Learning
  • Programming: Python (scikit-learn, Tensorflow, PyTorch, Pandas, Numpy, Keras, NLTK, PySpark, Spacy), Flask
  • Google Cloud Platform (GCP), BigQuery, Git, MLOps

Timeline

Senior Data Scientist

TELUS
01.2020 - Current

Senior Consultant/Data Scientist

CIBC
05.2018 - 12.2019

Senior Consultant

Scotiabank
11.2017 - 04.2018

Data Scientist

OptionMetrics
05.2017 - 10.2017

Senior Consultant

Deutsche Bank
12.2015 - 05.2017

Regulatory Reporting Analyst

CIBC
06.2014 - 12.2015

Data Science Certificate -

University of Toronto

Masters of Art - Economics, Financial Econometrics

York University

Bachelor of Arts - Economics

York University

Bachelor of Arts - Business Economics

York University

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Abhishek Najbile