Ruchi Parmar

Accomplished Data Scientist with extensive experience leading successful data-driven initiatives for Fortune 500 clients across a wide range of industries. Successfully managed data analysis projects for three multi-billion-dollar companies resulting in significant improvements in business insights and efficiency. Skilled in data analytics, leadership, teamwork, project management, and presenting key-findings to c-suite stakeholders. Keen eye for detail-oriented tasks and problem solving. Driven by passion for uncovering data trends and driving business outcomes.

Data Scientist, Freelancer, Toronto | Mar 22 – Present

▪ E-commerce company project

i)  Collaborated with cross-functional teams to develop & implement ML algorithms to identify customer segments and behavior patterns, resulting in creation of effective and personalised marketing campaigns.

ii)  Created and presented data-driven reports and visualizations to senior management, providing insights and recommendations for business growth opportunities.

▪ Manufacturing firm Project:

i)  Identified patterns & business insights for warehousing, effectively reducing the storage requirements by 30%.

ii)  Optimized manufacturing processes by 15% using statistical & machine learning models to predict inventory

requirements.

Sr Business Data Analyst, Quantiphi Inc., Toronto | Mar 21 – Feb 22

▪  Developed a data-driven Marketing Notification Delivery platform using Customer Data Platform for North America’s top moneytransfer company, improving customer-reach out time from multiple days to real-time.

▪  Deployed & managed of MLOps pipelines that improved customer behaviour analysis and accurately identified customer worth with optimal resource utilization for leading US gaming company.

▪  Mentored 10+ junior team members in data analysis.

Decision Scientist, Mu Sigma Inc., Bangalore(India) | Oct 18 – Apr 20

▪  Leveraged Power BI to transform search query data and publisher metrics into informative dashboards, enabling monitoring of advertising KPIs for a world-leading Fortune 500 search engine company.

▪  Developed and executed data-driven weekly plans for sales, markups, markdowns, inventory, and shrinkage at the store- department level, optimizing SKU flow for world's largest Home Improvement company.

▪  Utilized EDA and hypothesis testing to generate actionable business insights and forecasted sales across diverse departments for a large retail chain using time series forecasting.

▪  Conducted in-depth research on customer churn and risk factors for a major Canadian telecom company, leveraging various classification techniques (logistic regression, Naive Bayes, k-Nearest) to identify patterns and prevent churn.

• Data Science & Analytics, Master of Science ( Toronto Metropolitan University, Toronto | Present - Aug 24)
• Computer Engineering, Bachelor of Technology ( Nirma University, India |  Jul 14 – May 18)