Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
Overview
6
6
years of professional experience
Work History
Data Analyst
Manulife
Toronto, Canada
10.2022 - 05.2023
Received and explored data, addressing issues such as missing, null, and duplicate values
Cleared and removed previous data from SQL database
Inserted new data into client's table
Created/ Developed compliance reports using SQL queries and performed analysis to understand trends in customer experiences and business health performance
Updated data based on Client CAPA (Corrective and Preventive Action)
Prepared and stored reports for compliance testing within database
Executed complex data processing tasks, including collecting, scrubbing, and uploading participant-level account data with efficiency and accuracy, meeting Service Levels defined by management
Resolved data discrepancies through troubleshooting, aiming to expand skill set by engaging in data support work with continuous improvement and innovative mindset.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Collaborated with business-unit leaders to identify and prioritize problems.
Extracted and interpreted data patterns to translate findings into actionable outcomes.
Identified, analyzed and interpreted trends or patterns in complex data sets.
Documented effective and replicable methods for extracting data and organizing data sources.
Analyzed transactions to build logical business intelligence model for real-time reporting needs.
Created dashboards to monitor and track key performance indicators.
Developed and implemented data governance policies and procedures.
Data Analyst
Moose Knuckles Canada
Montreal, Canada
09.2020 - 09.2022
Collected and analyzed data to assess whether production and quality standards could be met, utilizing key performance indicators (KPIs)
I presented comprehensive reports through Power BI dashboards to stakeholders
As result, I successfully identified and cancelled 10% of orders that did not meet quality standards by end of process
Conducted descriptive statistics and exploratory data analysis to evaluate inventory allocation at warehouse, leading to significant improvement of 40% in time accuracy
Maintained and managed existing reports and analyses, providing valuable insights on periodic basis
Notable achievement: Implemented research data warehousing techniques at warehouse, investigating and analyzing data
Through these efforts, identified key insights that led to significant increase in sales by 24.6%.
Produced monthly reports using advanced Excel spreadsheet functions.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Generated standard and custom reports to provide insights into business performance.
Created data models to support decision-making processes.
Identified patterns and trends in large data sets and provided actionable insights.
Updated and developed scripts and queries to extract and analyze data from multiple sources.
Implemented business intelligence solutions to increase operational efficiency.
Deployed predictive analytics models to forecast future trends.
Generated ad-hoc reports to evaluate specific business requirements.
Data Compliance and Quality Analyst
Lamour Group & Terramar Sports
Montreal, Canada
03.2017 - 03.2020
Developed user interface to streamline data collection and metrics, while performing data cleansing and preprocessing to ensure data quality
Implemented automation processes to streamline data collection and enhance efficiency, while employing data modeling and quality controls to ensure accuracy and reliability in line with analytical concepts and best practices for data analyst roles
Utilized Power BI reports, charts, and dashboards to assess vendor performance, resulting in impressive 18.5% improvement
Analyzed complex business problems and utilized both internal and external data sources to provide decision-makers with valuable insights into weekly, monthly, quarterly, and yearly outcomes
This analysis led to 25% reduction in issues
Restructured communication channels across forty factories, leading to significant improvement of 62.3% in audit conclusions
Notable achievement: Implemented Key Performance Indicators (KPIs) to monitor quality, resulting in impressive 11.8% cost reduction.
Provided regular updates to team leadership on quality metrics by communicating consistency problems or production deficiencies.
Collaborated with management to provide training on improved processes and assisted with creation and maintenance of quality training.
Defined and implemented quality initiatives to reduce risk.
Analyzed quality and performance data to support operational decision-making.
Used Power BI to create presentations, flowcharts and graphs detailing data analysis results.
Consulted manuals and process documents to investigate malfunctions.
Monitored KPIs to proactively address bottlenecks and quality issues.
Developed training materials, SOPs and work instructions to supplement new team member onboarding.
Education
Some College (No Degree) - Computer Science
Harvard University
US
Associate of Science - Data Management Technology
Datacamp
Online
01.2022
Certificate, Microsoft Excel 2016 certificate - Information Technology
Versalys
Montreal
08.2017
Professional Sales Diploma - Business Administration
Pius Culinary Business Centre
Montreal, QC
01.2016
Bachelor's in Textile Engineering Equivalent in Quebec - Engineering Technology
Sentiment Analysis - NLP Freelance Project | WITT-2022, Transformed unstructured data into actionable insights on Kids First (WITT) client behavior. Utilized Python libraries (NumPy, Pandas, Scikit-learn) and popular APIs (TextBlob, NLTK). Performed data parsing, tokenizing, and vectorizing, and implemented machine learning algorithms for sentiment analysis. Predicted sentiment into three classes: positive, negative (aggressive), and neutral text messages. Employed data visualization techniques using Seaborn and Matplotlib.
Customer Churn Prediction (Freelance) | E-commerce2022, Cleaned and processed data using Python functions (drop, replace, indexing). Conducted descriptive statistics with Python and Pandas functions (head, tail, describe). Utilized Matplotlib for data visualization. Employed K-means modelling and unsupervised clustering to predict customer churn. Leveraged advanced analysis techniques, including predictive analytics and statistical techniques, to derive actionable insights and develop performance metrics, driving data-informed decision-making and enhancing organizational effectiveness as a data analyst.
Forbes – Top College of US (Case Study) | 2021, Cleaned and preprocessed data using Python functions (drop, replace, indexing). Performed descriptive statistics with Python and Pandas functions (info, head, tail, describe). Applied data filtering techniques like group by and sorting.
Timeline
Data Analyst
Manulife
10.2022 - 05.2023
Data Analyst
Moose Knuckles Canada
09.2020 - 09.2022
Data Compliance and Quality Analyst
Lamour Group & Terramar Sports
03.2017 - 03.2020
Some College (No Degree) - Computer Science
Harvard University
Associate of Science - Data Management Technology
Datacamp
Certificate, Microsoft Excel 2016 certificate - Information Technology
Versalys
Professional Sales Diploma - Business Administration
Pius Culinary Business Centre
Bachelor's in Textile Engineering Equivalent in Quebec - Engineering Technology