Vinay Joshi

Numbers are my best friends, and I am on a mission to turn data into actionable insights!

As a Recently grad student in Business Insights & Analytics from Humber College, Toronto, I developed my interest in data while completing my BTech with the fact that how data can make significant impact on the decision making! I love playing with numbers, derive meaningful insights from data and illustrate them in stories. I always try to choose data-driven approach before making any decisions.

I bring a solid grasp of analytics, proficiency in tools like SQL and Power BI. Committed to leveraging my expertise to drive insights and add value to both the company and my professional development.

My skillset includes (not limited to)

• Programming Languages: R, Python.
• Database and Tools: MySQL, HBase.
• Big Data/Hadoop: Hive, Spark.
• Data Analysis and Visualization: Microsoft Excel, Power BI, IBM Cognos Analytics.

I am a Data Analyst with a passion for unraveling insights from complex datasets. During my tenure at Webelight Solutions, I efficiently managed extensive customer credit databases for a banking client, leveraging SQL to enhance workflow efficiency by 15%. My adeptness in Power BI allowed me to create impactful dashboards, contributing to a 5% increase in customer retention and acquisition through predictive modeling.

I improved my programming skills in Java, R, and Python, and at Cognizant Technology Solutions, I designed architecture and built interfaces for SAP PI/PO, ensuring SLAs were met through integrated system operations. As a Business Analyst Intern at Vestige Marketing, I conducted comprehensive market analyses, resulting in an impressive 8% growth in profits. With a Post Graduate Certificate in Business Insights & Analytics from Humber Institute, my academic projects showcase proficiency in deep learning, NLP, and data visualization tools like Tableau and Power BI.

My diverse skill set positions me as a valuable asset for data-driven decision-making in analytics and business insights.

Data Analyst - Webelight Solutions

• Efficiently handled large volumes of customer credit databases for a client’s bank using SQL. Implemented ad-hoc data handling procedures to extract, transform, and load (ETL) data, improving overall workflow efficiency by 15% in data management.
• Created dashboards and reports using Power BI for stakeholders to find possible solutions to address and lower the churn rate of bank’s customers.
• Processed and modeled data using Microsoft SQL Server Management Studio and SQL Database Modeler, ensuring the optimization of data structuring for easy retrieval and analysis.
• Analyzed and interpreted data insights using Power BI along with exploratory data analysis in Python. 
• Achieved a 5% increase in customer retention and acquisition by employing predictive modeling techniques and using data-driven decision-making.