Summary
Overview
Work History
Education
Skills
Websites
Freelancing Projects
Timeline
Generic
Ray Saberi

Ray Saberi

Pointe-Calumet,QC

Summary

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

Azad University of Tehran
Montreal, QC
01.2006

Skills

  • Programming languages
  • Python
  • Panda
  • NumPy
  • Scikit-learn
  • SQL
  • SAS
  • Mathematics
  • Statical skills
  • Quality assurance
  • Quality control
  • Advanced Microsoft Excel
  • (VLOOKUP, Pivot tables formulas,)
  • VBA
  • Macros
  • Data Cleaning and Preprocessing
  • Data analysis and exploration
  • Data warehousing
  • Data modeling
  • Data processing
  • Data mining
  • Project management
  • Research
  • Business analysis
  • Business strategy
  • Statistical analysis
  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics
  • Data visualization (Power bi, tableau, seaborne)
  • Reports generation
  • Presentation
  • Cross-functional communication skills
  • Teamwork player and collaboration
  • Passion
  • Time management
  • Business Acumen
  • Adaptability
  • Critical thinking
  • Strong analytical skills
  • Problem-solving
  • Decision making
  • Curiosity and Continuous Learning
  • Creativity
  • Attention to detail
  • Logical thinking
  • Microsoft Visio
  • Sequence Diagrams
  • Product Development
  • IBM Rational ClearCase
  • Data Quality
  • Data Quality Assurance Processes
  • Database Management
  • Data Profiling
  • Microsoft Access
  • Reporting Tools
  • Data Mapping
  • Data Mining
  • Business Management
  • Oracle Business Intelligence
  • Compatibility Testing
  • Systems Analysis
  • Business Requirements
  • Data Collection Management
  • Critical Thinking
  • Statistics and SAS
  • Structured Query Language (SQL)
  • Judgment and Decision-Making
  • Database Programming and SQL
  • Data Visualization and Presentations
  • Report Preparation
  • Learning Strategies
  • Complex Problem-Solving
  • Data Integrity Validation
  • Clear and Concise Communication
  • Accounting Principles
  • Attention to Detail
  • Time Management
  • Enterprise Application Integration
  • Python Programming
  • Query Tools
  • Reading Comprehension
  • Business Performance Analysis
  • Active Listening
  • Statistical Analysis
  • Data Science with R Programming
  • Data and Analytics
  • Financial and Economic Data
  • Defect Tracking
  • Google Docs
  • MS SQL Server 2000
  • Competitive Market Analysis
  • Regulatory Reporting Requirements
  • Executive-Level Presentations
  • Client Correspondence
  • Microsoft Project
  • Business Intelligence Testing
  • Computer Server Management
  • Extraction Transformation and Loading (ETL)
  • Supply Chain Applications Systems
  • Google Slides
  • Git
  • Writing
  • Coordination
  • Monitoring
  • C#
  • Tableau
  • New Market Identification

Freelancing Projects

  • 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

Azad University of Tehran
Ray Saberi