Mozhan Pournemat

About the Candidate

SUMMARY OF QUALIFICATION
·       Strong experience in Python, SQL, and MS Excel with a focus on data analytical skills, mathematical modelling, and optimization.

·       Enthusiastic about working on projects that have positive impacts on Canadian’s lives.

·       Experienced in cleaning and analysing datasets through the programing languages Python, SQL.

·       Experienced in data visualization through data manipulation and building dashboards through real-time visualization tools such as Tableau and Microsoft Power BI.

·       Experienced working with raw data and transforming it to valuable insight.

·      Experienced working both in teams and individually while generating innovative ideas.

AREAS OF EXPERTISE
·       Analyzing data

·       Data Visualization

·       Time Series Analysis
·       Statistics modeling

·       Predictive analysis

·       Sentiment Analysis
Technical Skills
·       Python (Jupyter Notebook, PyCharm, Google Colab, Visual Studio)

·       SQL

·       AWS Transcribe, comprehend, S3

·       HTML5 & CSS3

·       C programming language
·       Tableau

·       QDA miner

·       Microsoft Office Suite: Excel, PowerPoint, Word, Outlook, and SharePoint
Work Experience
Data Analyst
May 2022-Present
CanadaWheels, Ottawa, Canada

·       Annotating, training, testing, iterating, and production monitoring of time series forecasting

·       Analyzing customer data to provide meaningful insights

·       Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights

·       Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization

·       Continuously enhancing knowledge / expertise in own area and keeping current on emerging trends/developments and grow knowledge of the business, analytical tools, and techniques

Data Analyst
March 2021-April 2022
TripScript, Ottawa,Canada

·       Identified business opportunities for the company after the pandemic using unsupervised machine learning technics by extracting data from social media and preprocessed the data by removing noises, and unnecessary text.

·       Developed a machine learning model using Topic modeling and Chance discovery to find the most wanted topics to find the business opportunities.

·       I designed a fully automatic AWS pipeline to fetch, denoise and transcribe all TripScript’s audio files by using AWS Transcribe + S3. The results were automatically pumped into AWS comprehend for sentiment analysis.

·       Used various signal processing and NN to denoise the audio files and remove the silence segments to enhance the accuracy and minimize the cost.

·       Used various analytical techniques to convert the sentiments to some actionable KPIs and metrics.

Junior Data Analyst
May 2019-Jan 2020
ProshaSoft, Tehran, Iran

·       Gathered and analyzed data from clients that were originally stored in MySQL data base.

·       Assisted in building analytics tools to manage data and streamline data analysis using Python.

·       Conducted detailed analysis and research through real time visualization tools such as Tableau and provided business insights to assist the project manager with the successful implementation of the project.

·       Ensured provision of appropriate analytical support and outcome recommendations for key stakeholders.

·       Examined documents and reports and presented findings in Excel and PowerPoint.

Education
Master of Applied Business Analytics

Carleton University

Supervisor: Michael Weiss
Courses: Social Analytics, Integrated Product development, applied analytics, Machine learning

Jan2020-June2021
B.Sc. In Software Engineering
Tehran Azad University
Courses: Data Structure, Data mining, Data storage and retrieval, Advanced programming, Algorithm design
Sep2013-Oct2018
Conference and Publication
• Pournemat, M., & Weiss, M. (2021). Identifying business opportunities using topic modeling and chance discovery. In ISPIM Conference Proceedings (pp.1-11). The International Society for Professional Innovation Management (ISPIM).

Volunteer
Engineering and Computer Science Graduate Poster Competition
March 2020
Carleton University