Rutuja Joshi
Experience
Embarking on an Enlightening Voyage: Unveiling My Proficiencies in Data Science, System Engineering, and Business Analytics
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Summary
Experieneced in Systems Engineering and Data Analytics professional with a currently pursuing master of science from Oakland University, MI, excelling at data analysis, systems engineering, and business intelligence. Proven track record in optmizing processes, improving performance metrics, and enhancing customer satisfaction. Eager to leverage freshly acquired knowledge and skills in related domain to drive data-driven decision making amd contribute to organizational success.
Master of Science in Systems Engineering
2022 - Current
Specialization: Data Analytics
GPA: 4.0
Oakland University, MI, USA
Product Lifecycle Management, Statistical Methods in Engineering, Lean Principles & Aplications, Software Engineering, Foundation of Systems Engineering, Database Management Systems
Bachelor of Engineering in Computer Science
2016 - 2020
Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, MH, India
GPA: 3.5
Data Structure, Database Management Systems, Machine Learning, Introduction to C Programming, Mathematics and Probability, Python, Agile Methodologies
Certifications
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Google Data Analytics Certificate
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Introduction to Generative AI
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Introduction to Responsive AI
LinkedIn Learning
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Project Management Foundations: Teams
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Advanced SQL
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Power BI Essential Training
Udemy
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Tableau Training for Data Science
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The Complete SQL Bootcamp
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Microsoft Excel - Data Visualization, Excel Charts & Graphs
Coursera
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Google Cloud Fundamentals
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AI for Everyone
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Programming for Everybody (Getting started with Python )
Data Analyst
Tata Consultancy Services (TCS), India
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Streamlined evaluation of income, assets, credits, and other essential KPIs, resulting in increased accuracy in identifying suitable mortgage options for clients, leading to a 20% reduction in mortgage processing time, and improving customer satisfaction
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Prepared monthly Tableau dashboards by retrieving and validating data using complex SQL queries. The trend analysis provided actionable insights on market trends, revealing a notable 37% increase in refinance loans triggered by the COVID-19 pandemic
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Performed risk analysis on 1500 loans/week using risk rating models, evaluating key metrics like loan-to-value and debt-to-income ratios. Assigned risk ratings to enable informed decision-making based on forecasting defaults using predictive analytics
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Automated workload allocation involving cross-functional collaboration with data engineers and product management team for integration of a Python script with an in-house tool for process improvement, increasing team efficiency and productivity by 20%
May 2021 - Sept 2022
July 2020 - Apr 2021
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Used ETL tools like Informatica for data extraction and data pre-processing. Performed necessary data augmentations based on critical financial indicators, resulting in standardized operations and a notable 25% increase in operational efficiency
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Facilitated a comprehensive market analysis across EMEA and APAC regions to identify changes in market behavior and the underlying drivers, providing strategic guidance to help businesses make informed decisions to capitalize on market trends
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Designed automated Tableau dashboards, saving ~20 hours per month in reports generation, providing recommendations on areas for improvement, and evaluating data impact issues, resulting in a 15% increase in efficacy in decision-making processes
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Improved operational efficiency of workforce by optimizing various tasks, including developing a generic file comparison script with Python, resulting in saving 2 business days of work in manual data comparison
Project Engineer
Afour Technologies, India
Assistant System Engineer
Jan 2020 - Jun 2020
Mavrica Networks Pvt. Ltd, India
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Coordinated with different module teams to plan and execute the requirements through all phases of
development. Worked on requirement writing for vehicle’s feature of using the Jama tool -
Implemented 5s, Kaizen techniques to improve quality along with tracked workforce and efficiency rate using data analysis which increased labor utilization rate from 76% to 81%
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Involved in scrum-based development methodology that includes daily stand-ups, and regular sprint
reviews to illustrate work with cross-functional team using Agile development processes