Available to hire
I’m Sanket Shreekant Parab, a data analyst based in Barrie, Ontario, and I’m open to relocation. I specialize in turning raw data into actionable insights using Python, SQL, Tableau, and Power BI, with a strong focus on data cleaning, statistical analysis, and predictive modeling. With hands-on experience in ETL, cloud platforms (AWS), and interactive dashboards, I’ve delivered data-driven solutions that improve business outcomes and support strategic decisions. I enjoy collaborating with cross-functional teams to translate business needs into scalable analytics and governance practices.
Skills
Language
English
Fluent
Work Experience
Data Analyst at Bliss Ladders
January 1, 2025 - November 10, 2025Executed end-to-end ETL workflows using SQL and Python (Pandas, NumPy) to cleanse and transform 15M+ records, improving data readiness for descriptive analytics and stakeholder reporting. Automated financial dashboards in Power BI with DAX measures and drill-through filters, reducing manual reporting time by 20 hours/month and enabling real-time KPI tracking for executive decision-making. Collaborated with data engineers to validate AWS Redshift pipelines, ensuring data integrity through quality checks and error logging, reducing pipeline failures by 25%. Designed A/B tests for marketing campaigns, resulting in a 12% lift in customer conversions and $500K+ incremental revenue. Optimized Snowflake SQL queries to accelerate data retrieval and cut cloud costs by 15%. Developed regression models in Python (Scikit-learn) to forecast quarterly sales trends with 85% accuracy, improving inventory planning efficiency by 20%. Documented data lineage and metadata in Confluence and translated busi
Data Analyst at CMC LTD
March 31, 2023 - March 31, 2023Optimized manufacturing processes using Lean Six Sigma, improving inbound efficiency by 23.56% through a Capacity Calculation system and purchase order tracking. Developed predictive models (Linear/Logistic Regression, SVMs, Decision Trees) to classify data and identify key variables such as FTE, waiting times, and capacity utilization. Conducted Process Cycle Efficiency (PCE) analysis (33.2%) to identify value-added activities. Performed advanced data analysis on 4,890+ data points using SAS, R, and Python (Pandas, NumPy, SciPy, Seaborn, Scikit-learn). Designed and optimized ETL pipelines, writing complex SQL scripts for QlikView and integrating HBase and Hive via MapReduce for large-scale processing. Applied feature engineering to improve model accuracy and developed statistical models (DOE, hypothesis testing, correlation, segmentation, queuing theory) for logistics optimization and risk analysis. Collaborated with cross-functional teams to translate business challenges into data-dr
Data Analyst at CMC LTD, India
March 1, 2023 - March 1, 2023Optimized manufacturing processes using Lean Six Sigma, improving inbound efficiency by 23.56% through a Capacity Calculation system and purchase order tracking. Developed predictive models using machine learning algorithms (Linear/Logistic Regression, SVMs, Decision Trees) to classify data and identify key variables such as FTE, waiting times, and capacity utilization. Conducted Process Cycle Efficiency (PCE) analysis (33.2%) to identify value-added and non-value-added activities, streamlining operations and improving workflow efficiency. Performed advanced data analysis on 4,890+ data points using SAS, R, and Python (Pandas, NumPy, SciPy, Seaborn, Scikit-Learn), generating insights through Pareto Charts, bar charts, and histograms. Designed and optimized ETL pipelines, writing complex SQL scripts for QlikView applications and integrating HBase and Hive via MapReduce for large-scale data processing. Applied feature engineering techniques, including feature creation, scaling, and one-h
Education
Bachelor of Computer Applications at Maharaja Sayajirao University of Baroda, India
June 1, 2018 - May 31, 2021Mobile Application Development at Georgian College, Barrie, ON
May 1, 2023 - December 31, 2023Artificial Intelligence – Architecture, Design, and Implementation at Georgian College, Barrie, ON
May 1, 2024 - December 31, 2024Artificial Intelligence – Architecture, Design, and Implementation at Georgian College
May 1, 2024 - December 1, 2024Mobile Application Development at Georgian College
May 1, 2023 - December 1, 2023Bachelor of Computer Applications at Maharaja Sayajirao University of Baroda, India
June 1, 2018 - May 1, 2021Qualifications
AWS Academy – Machine Learning Foundations
January 11, 2030 - November 10, 2025AWS Academy – Cloud Foundations
January 11, 2030 - November 10, 2025SAS Programming 1: Essentials
January 11, 2030 - November 10, 2025AWS Academy Graduate - AWS Academy Machine Learning Foundations
January 11, 2030 - November 10, 2025AWS Academy Graduate - AWS Academy Cloud Foundations
January 11, 2030 - November 10, 2025SAS Programming 1: Essentials
January 11, 2030 - November 10, 2025Industry Experience
Software & Internet, Professional Services, Manufacturing, Media & Entertainment, Education, Healthcare
Skills
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