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Data Scientist

Location:
Cold Lake, AB, Canada
Posted:
March 02, 2021

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Resume:

MANI KOHLI

Data Scientist

**********@*****.***

+1-587-***-****

https://www.linkedin.com/in/manikohli

https://mani-kohli.github.io/

SUMMARY

A motivated Data Scientist with unique industrial and educational experience in data science/analytics, software engineering and healthcare/medicine. Driven towards an ultimate goal of enhancing insights from data in society.

EDUCATION

2020 - 10 -

Certificate in Advanced Statistics

The Institute for Statistics Education Arlington, VA

2018 - 09 - 2019 - 06

Master of Data Science (MDS)

University of British Columbia Vancouver, BC

GPA 3.70

2017 - 07 - 2018 - 04

Certificate in Data Analytics, Big Data, and Predictive Analytics

Ryerson University Toronto, ON

GPA 4.13

2013 - 01 - 2016 - 09

Medical Program

Caribbean Medical University Curacao / Chicago, IL

GPA: 3.55 Honors Grant Award (x2)

2005 - 09 - 2009 - 09

Medical Program

Poznan University of Medical Sciences Poznan, Poland

2000 - 01 - 2002 - 04

Master of Science, Software Engineering

University of St. Thomas St. Paul, MN

GPA 3.94 President’s Grant Award

1994 - 09 - 1997 - 09

BSc Major Psychology, Minor Mathematical Sciences

University of Alberta Edmonton, AB

TECHNICAL SKILLS

Data Science: Descriptive Statistics & Probability, Communication & Argumentation, Data Wrangling, Algorithms & Data Structures, Data Visualization, Statistical Inference & Computation (incl. Bayesian), Database & Data Retrieval, Supervised Machine Learning, Workflows, Unsupervised Machine Learning, Feature & Model Selection, Collaborative Software Development, Spatial & Temporal Models (Time Series), Privacy Ethics & Security, Web & Cloud Computing, Experimentation & Causal Inference, Advanced Machine Learning (Natural Language Processing (NLP)).

Programming: R, Python, Java, VB, Regular Expression, JSON, SPSS, SAS

Big Data Analytics: Introduction: Big Data, Data Analytics: Basic Methods, Data Analytics: Advanced Methods, Big Data Tools (Hadoop, MapReduce, Hive, Pig, Spark, Hortonworks), Data Organization for Data Analysts (RDB & NoSQL).

Database Systems: RDBMS (SQL, PostgreSQL, SQLite, MySQL), NoSQL (MongoDB)

Visualization packages and Tools: ggplot2, Ploty, Matplotlib, Seaborn, Shiny, Tableau

Reporting and Integrated Environments: Jupyter Notebook, RMarkdown, Ioslides, RStudio, Linux, Docker

Cloud Platforms and ML Software: AWS, Azure, Google Collab, IBM Watson, Weka

Software Engineering: Software engineering processes/models, System analysis/design, Object Oriented (OO) Analysis & Design, OO Patterns, OO Database design, RDBMS design, Multimedia, SQA, Project Management, Technical writing

DATA SCIENCE PROJECTS (SELECTED)

Portfolio (GitHub): https://mani-kohli.github.io/

2020

* Facial Expression Recognition: Python, CNN, Deep Learning, Machine Learning, Flask

* Fake News Categorization: Python, NLP, LSTM, Deep Learning, AI, WordCloud

2019

* Order Rate Prediction: Python, R, PostgresSQL, Logistic Regression, Tableau, Pipeline, Docker

* Image Enhancement: Python, R, Testing/Test Coverage, Build

* Mental Health in Tech Jobs: Shiny, R

2018

* Income Prediction: R, Decision Trees, Workflow, Scripts

EXPERIENCE

2019 - 04 - 2019 - 06

Data Scientist

FreshPrep Vancouver, BC

UBC MDS Capstone Project: Order Rate Prediction (Team collaboration with 4 members)

* Exploratory data analysis and data wrangling in R and PostgresSQL.

* Engineered features and applied supervised learning techniques to create a predictive model using Logistic Regression and Random Forrest methods in R and Python.

* Final model achieved with a 4.61 Mean Absolute Percentage Error (MAPE).

* Developed an interactive Tableau dashboard providing insights for marketing strategies based on past orders and model predicted future orders (for up to 3 weeks in advance).

* Packaged project into a self-contained Docker product.

2018 - 01 - 2018 - 04

Data Scientist

Ryerson University Toronto, ON

Ryerson Certificate Capstone Project: Fire Fighter Injury Analysis

* Exploratory data analysis and data wrangling in R.

* Feature Analysis with Random Forest supervised method in R with ROC accuracy score of 97%.

2016 - 09 - 2017 - 02

Data Scientist Mentee

Ardaman Singh (Mentor), Principal, Axtria New Jersey, USA / India

* Review, research and discussion of credit financial information of a leading financial institution.

* Researched potential areas for leveraging national citizens’ database (Nepal, Asian Development Bank project) to improve citizen services and transparency.

2003 - 04 - 2005 - 09

Systems Analyst

Boston Scientific Corporation Maple Grove, MN

* Contributed to the concurrent strategic development, integration and maintenance of multiple corporate clinical and supportive business software systems supporting FDA clinical data requirements within dynamic deadlines.

* Provided corporate global education, training and solutions for clinical software systems.

* Lead groups (2-3 coworkers) in corporate file, application and directory standardization project.

2002 - 04 - 2003 - 04

Systems Analyst

Arran Technology Inc. Minneapolis, MN

* Contributed to the design, development and maintenance of various enterprise software and web application systems in small team environments within rigid deadlines.

* Successfully project managed by working closely with clients to provide data, statistical and database requirements of consumer website and web applications for clientele business analysis.

2001 - 09 - 2002 - 04

Software Engineer

Arran Technology Inc. Minneapolis, MN

UST MSc Software Engineering Project: Website Marketing Analysis Tools

* Analyzed client data requirements for real estate website, created SQL stored procedures, integrated Online Analytical Processing (OLAP) and statistical reporting tools which increased client productivity. Provided complete lifecycle documentation.

2001 - 04 - 2002 - 04

Software Engineer Intern

e.Intelligence Inc. Minneapolis, MN

* Co-developed client configuration components for corporate Predictive Statistical Analysis and Modeling Enterprise Software, eliminating the need for technical knowledge. Provided testing/SQA.



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