Ebrahim Adeeb Email & Phone Number

Ottawa, Ontario, Canada

• Managing, staffing, and budgeting for newly created data science hub (DSH). We provide da-ta science and RPA services to a variety of internal corporate clients including HR, policy, management, and legal counsel. The DSH is also mandated to build relationships and review processes with external partners including, data and technology providers, university research-ers, external federal departments. • Drafting enhanced data governance proposals and working with corporate stakeholders to de-velop a structure that is both dynamic and accessible while retaining all the necessary security protocols to protect sensitive corporate data. • Providing advanced analytics and NLP solutions to policy teams on a variety of projects in-cluding: United Nations Declaration for the Rights of Indigenous Peoples, Royal Canadian Mounted Police Recidivism Program, Medical Assistance in Dying, Black Justice.

Ottawa, Ontario, Canada

• Leading and developing internal data strategy and analytical framework across the department, to enhance data expertise, accessibility, ethical guidelines, and governance. Leveraging availa-ble technology to build safe and secure analytical tools, which include surveying, machine learning, natural language processing, and predictive modelling. Working with interdepart-mental team to implement expansion on data solutions across multiple business units, develop a data code of ethics, training protocols, and start a department wide data community of prac-tice.• Developing dashboards, tools, and visualizations for all units across the department of Justice and the government of Canada, this includes HR, legal case, business intelligence, and finance. Data cleaning, subset and transformations done with R and SQL. Dashboards and visualiza-tions built with Tableau, PowerBI, or R.• Classification tasks using traditional statistical methods and neural networks in R and/or Py-thon. A production level tagging tool was developed for HR using StarSpace neural embed-ding modelling. This multi-class model was used to identify leave request reasoning from text comments provided by employees at Justice. Data was provided unbalanced, data imputation and parameter tuning was required to reach optimal results. Model fitting and data work con-ducted in R. • Clustering and topic modelling for untagged legal cases and legal opinions. This involves combining data from a variety of formats and sources into text files. Cleaning the files using R and Python script. Data was separated as English and French dominated legal cases using textcat package in R, a separate analysis was conducted for each language. Techniques above applied to MAID analysis of survey opinions on medical assistance in dying.

Halifax, Nova Scotia, Canada

• Working with a psychology start up to build data warehouse, survey solutions, ETL, and web-based application. We released a Beta into production and currently developing second phase of project with bespoke surveying solutions.• Built a team of developers to build out web app for client. Liaising between client and team to ensure goals and timelines are met. Refining the client’s vision into actionable business prob-lems and digital solutions. Built a security model to protect client and user data. Scoping and building project timeline, phases, and budget, monitoring and communicating progress with client. Organizing team meetings and ensuring all stakeholders are working optimally and sat-isfied with project progress. Set up a system for version control in a github code repository.

Ottawa, Ontario, Canada

• Feature engineering for modelling from raw border crossing data in secure government server environment. Working on ETL flow and managing tables in Postgres SQL DB. Building Paral-lelized and Optimized R and RCpp code for entity resolution and feature engineering. Con-ducting entity resolution on variables critical to identifying “high risk” travellers. Leveraging Cpp and data.table to speed up code runs on 500 million+ data points with over 100 features with daily refreshes. • Implementing an adjusted agile (for modelling) approach to the teams workflow. Technology procurement and Azure DevOps setup for backlog and taskboard. • Training junior data scientists for big data computation and delegating tasks according to jun-iors level of proficiency.

Ottawa, Ontario, Canada

• Developing data strategy for the steel and aluminum trade committee in response to US Tar-iffs. Scraping and acquisition of micro trade data, setting up a data repository and building dashboarding tools for Canadian firms to ensure a clear understanding of effects of trade tariffs on specified commodities and products. Data provided by statscan on a bi-weekly basis, when data is sent a file is saved into a network folder which triggers R script to append and update the full database. This DB is accessed through tableau for dashboarding and analysis. Users include ISED, GAC, CBSA, union leaders and Canadian steel and aluminum executives. The work received a director general merit award for excellence in public service.• Developing infographics, digital reports, visualizations, dashboards and analysis on manufac-turing and consumer products in Canada. Analysis on a variety of industries including: green energy producers, marine technology, female owned business, and aboriginal business in Can-ada. • Building Tableau dashboarding tools for the PM results and delivery unit at ISED on a month-ly basis. • Leveraging web scraping technology and API’s for data collection including: trade, products, funding, and social media data. Working with data providers and building active pipeline for staff. Worked with Data Group to shift reliance in Cognos and Microsoft access, towards a da-ta lake environment. Much of the scripting and analysis was being done with Python, and R and visualization and dashboarding with Tableau. Tools used depend on required outcomes and timelines.• Contributing to a departmental R and Python-Users group focused on information exchange and collaboration. Organizing weekly training sessions for non-tech savvy analysts across ISED. Training junior analysts and students in a variety of packages and data science para-digms within R and Tableau.

Ontario, Canada

Data scientist- Data scraping , management , visualization, dashboard design, probability model building and validation, reporting to OTP and Members of Canada Olympics

Vancouver, Canada Area

Vancouver

Involved in geomechanical and geotechnical work on a variety of sites, some of the work conducted includes:-Handling a series of on field testing, data and sample collection. -Working with a drill crew to conduct rock coring and soil testing and collection. -Using the IPI packer system to collect valuable hydrogeological data and using multiple analysis techniques. -Working in office to reduce and analyze data collected on field. -Working on data presentation and reporting for reports.

North Vancouver

Engineer in training. worked with a variety of engineering design tools for open pit rock design including SLIDE DIPS CAD and more. worked in data reduction and analysis and received mentorship from a series of world class engineers in the field of rock mechanics and open pit mining design. expanded my skills in basic data compilation programs including EXCEL and GRAPHER.

Carbon Creek

involved with geotechnical core logging with orientated core using the ace tool, identifying joints and measuring rock properties including IRS, Cohesion, and using a Point Load Device. also involved with geological core logging identifying rock types, structure and sampling. Also assemble, use and hold knowledge in the IPI Packer system for hydraulic conductivity testing. Conducting geological core logging (Using Split Tubes)* Collecting samples for lab testing (Coal, UCS, Hanging wall, Footwall)* Exploration geology for mapping purposes to identify structure within property* Worked closely with drill crew so have a thorough understanding of processes involved in drilling using multiple sized drill bits for coring and rotary drilling

AMS Housestaff, UBC, Vancouver *Responsible for monitoring the UBC Student Union Building *Responsible for intervening with inappropriate behavior through crisis Management and notifying the relevant authorities *Organized events and venues for the AMS

Master'S Degree, Statistics, A-

Thesis on blocked correlation structures in data and adjustments to cross-validation for model selection. Comparisons with AIC show a bias.

Bachelor Of Science - Bs, Mathematics And Statistics, 3.76

Activities and Societies: president sports analytics club organizer and host of VanSASH

Bachelor Of Applied Science, Geological Engineering

Due to Finish in May 2012; Introduction to Engineering and Construction Law- CIVIL402 -Mining and the Environment-MINE486 -Environmental.

Bachelor Of Applied Science, Geological Engineering

High School Diploma