05/25/2025 updated

SP
100 % available

Junior Data Analyst with Advanced Diploma in Data Science

Canada
Only remote
Advanced Diploma in Data Science
Canada
Only remote
Advanced Diploma in Data Science

Profile attachments

SWETA_DA_CV.pdf

Amazon Web ServicesAnalytic ApplicationsData AnalysisMicrosoft AzureBusiness IntelligenceBig DataCloud ComputingComputer ProgrammingData WarehousingFinancesForecastingApache HadoopIBM Cloud ComputingIBM Cognos Business IntelligenceIBM SPSSInvestment DecisionsPython (Programming Language)Linear RegressionMachine LearningMarket TrendMicrosoft SQL ServersMySQLNumPyPredictive ModellingVisualizationMicrosoft Power BITensorFlowStataStatisticsSalesforce TableauData ProcessingData Storage TechnologiesData ScienceApache SparkKeraspandasDecision TreesLooker AnalyticsDatabase Administration
Data Analysis & Statistical Tools
Proficient in statistical analysis using Stata and SPSS, with experience in preparing financial datasets and analyzing market trends to support data-driven decision-making.

Programming & Data Processing
Strong programming skills in Python with libraries including Pandas, NumPy, Keras, and TensorFlow, complemented by experience in data wrangling, cleaning, and preprocessing.

Business Intelligence Tools
Expertise in visualization and reporting using Tableau, Power BI, Excel, Looker, and IBM Cognos to deliver actionable insights and inform investment decisions.

Database Management
Knowledge of SQL Server and MySQL database systems for efficient data storage and retrieval.

Cloud Platforms
Experience with AWS, Microsoft Azure, and IBM Cloud for data warehousing and analytics solutions.

Machine Learning
Skills in developing predictive models using linear regression and decision trees, achieving high accuracy rates in classification and prediction projects.

Big Data Technologies
Familiarity with Apache Spark and Hadoop for processing large datasets.
 

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishNative speaker

Project history

Electric Vehicle Classification and Analysis

Project
Analyzed factors influencing consumer preference between BEVs and PHEVs, developed predictive classification models with over 99% accuracy for identifying EV types and consumer segmentation.

Boston Housing Prices Prediction

Project
Built predictive models using linear regression to analyze factors influencing housing prices in Boston, implemented Decision Tree Regressor to improve prediction accuracy from R² of 0.69 to 0.73.

Certificates

AI900

Microsoft

2025


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