Rutvik Patel Email & Phone Number
Who is Rutvik Patel? Overview
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Rutvik Patel is listed as Business Systems Analyst at City of London, Canada, a with 1648 employees, based in London, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Rutvik Patel.
Rutvik Patel previously worked as Data and Systems Analyst at City Of London, Canada and Business System Analyst at City Of London, Canada. Rutvik Patel holds Master'S Degree, Computer Science, 3.90/4.00 (Gpa) from Western University.
Email format at City of London, Canada
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About Rutvik Patel
Enthusiastic lifelong learner passionate about tackling new challenges and thriving in diverse environments. Computer Science graduate and a Data Analyst with hands-on experience in Data Science, including AI/ML applications. Eager to leverage my skills and knowledge in a dynamic work opportunity to drive innovation and growth.
Rutvik Patel's current company
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Rutvik Patel work experience
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Data And Systems Analyst
• Analyze and visualize corporate asset data using Power BI and ArcGIS, supporting the City's multi-year budget asset management plan.• Identify data gaps and assist service areas with data collection techniques, providing recommendations for process and technology improvements.• Ensure data integrity in the enterprise asset management system by collaborating with field data collectors to maintain adherence to standards and processes.
Business System Analyst
• Delivered Tier 2 frontline technical support, ensuring high-quality customer service and resolving technical issues for Corporation Staff.• Provided comprehensive technical support for software, hardware, and network issues, effectively addressing and resolving user-reported incidents.• Handled service requests such as password resets and troubleshooting, ensuring prompt and accurate responses.• Supported Council & Committee meetings by managing audiovisual services and maintaining desktop environments and associated tools.
Training And Information Intern - Housing Stability Services
• Developed a methodology for the archival of Encampment Data to facilitate data analysis and future reporting.• Crafted an advanced Power BI dashboard integrating data from SQL Server, Dynamics CRM, and Network Folders, aiding the city's homelessness strategy.• Established a dashboard for daily client communication and housing services data reporting for strategic executive use, significantly improving reporting time and quality, saving more than 70% of the time.• Engineered automation scripts that cut staff time by 90% for routine processes.• Spearheaded the creation of process flowcharts, digital presentations, and public informative videos using Synthesia (AI video generator), enhancing organizational efficiency and public access to information on government programs.
Machine Learning Engineer
• Implemented an audio segmentation module within a voice cloning and translation framework, enabling its application in multi-speaker environments, thereby enabling further development of the product.• Spearheaded the initial conceptualization and design planning of the voice synthesis AI software architecture• Used Retrieval-Augmented Generation (RAG) for customizing chatbots with user data and chat history, automating prompt generation through OpenAI GPT-3.5 API, removing the need for manual prompt generation. • Assisted in the testing and review of a Large Language Model (LLM) based voice-synthesis and chat framework for text-based interactions, employing tools such as LangChain, Hugging Face, Sentence Transformers, and GPT4All, and suggested improvements.
Sales And Service Associate
• Made, modified, and personalized reservations for a diverse set of clients from across the globe, based on customer requirements, and abiding by the information security guidelines, with a 100% compliance rate.• Handled various tasks, focusing on precision and delivering outstanding customer service while exceeding sales targets by as much as 60%.
Sales Associate
Cashier
Data Analytics Intern
• Developed client-centric dashboards in Power BI for premium clients, integrating daily updates from SQL Server and Market Data API to boost engagement and investment tracking.• Implemented K-Means clustering to efficiently segment 200 clients into six categories for targeted advisor and stockbroker assignments, enhancing service delivery and reducing operational costs.• Innovated Standardized data collection forms to web-based, achieving 40% reduction in employee processing time.• Designed and deployed an automated script for daily financial reporting and alerts to the Accounting department regarding outstanding and receivable account balances, achieving a 25% improvement in operational efficiency.
Data Science And Business Analytics Intern
• Applied Machine Learning techniques like Regression, Clustering, and Decision Trees on the given dataset of more than 200 players, and over 13 performance indicators over 15 teams, throughout the season of the tournament.• Performed Exploratory Data Analysis and Data Visualization on the data from various seasons of a sports tournament, and devised recommendations for endorsements based on the EDA of over 200,000 values of data.
Machine Learning Intern
• Conducted comprehensive analysis of the relationship between company stock prices and industry trends of various small, medium, and large-cap companies using NumPy, SciPy, Pandas, Matplotlib, and Sklearn over a period of 3 years, leading to actionable insights for portfolio optimization.• Successfully performed Technical Analysis using Data Visualization and Fundamental Analysis, including Beta Calculation, leveraging historical price data from over 90 Tickers. Generated accurate trade calls through Classification techniques and employed clustering to enhance portfolio diversification, resulting in reduced risk for the investor.
Colleagues at City of London, Canada
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Jessica Yates
Colleague at City Of London, CanadaCanada
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SB
Sarah Brisson
Colleague at City Of London, CanadaLondon, Ontario, Canada
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Diane Coffin
Colleague at City Of London, CanadaLondon, Canada Metropolitan Area, Canada
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Kelsea Nagamatsu
Colleague at City Of London, CanadaLondon, Canada Metropolitan Area, Canada
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JF
Jordan Fuller
Colleague at City Of London, CanadaLondon, Ontario, Canada
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SA
Subrat Acharya
Colleague at City Of London, CanadaCanada
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MS
Marnie Shepley
Colleague at City Of London, CanadaGuelph, Ontario, Canada
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JA
Jocelynn Aubertin
Colleague at City Of London, CanadaLondon, Ontario, Canada
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EF
Elizabeth Fenton
Colleague at City Of London, CanadaLondon, Ontario, Canada
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RB
Rob Bristow
Colleague at City Of London, CanadaIngersoll, Ontario, Canada
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Rutvik Patel education
Master'S Degree, Computer Science, 3.90/4.00 (Gpa)
Bachelor Of Technology - Btech, Information And Communication Technology, 9.38/10 (Cgpa)
Aissce, 84.4%
Aisse, 9.20/10 (Cgpa)
Education record
Frequently asked questions about Rutvik Patel
Quick answers generated from the profile data available on this page.
What company does Rutvik Patel work for?
Rutvik Patel works for City of London, Canada.
What is Rutvik Patel's role at City of London, Canada?
Rutvik Patel is listed as Business Systems Analyst at City of London, Canada.
Where is Rutvik Patel based?
Rutvik Patel is based in London, Ontario, Canada while working with City of London, Canada.
What companies has Rutvik Patel worked for?
Rutvik Patel has worked for City Of London, Canada, Vosyn, Marriott International, The Home Depot Canada, and Walmart Canada.
Who are Rutvik Patel's colleagues at City of London, Canada?
Rutvik Patel's colleagues at City of London, Canada include Jessica Yates, Sarah Brisson, Diane Coffin, Kelsea Nagamatsu, and Jordan Fuller.
How can I contact Rutvik Patel?
You can use AeroLeads to view verified contact signals for Rutvik Patel at City of London, Canada, including work email, phone, and LinkedIn data when available.
What schools did Rutvik Patel attend?
Rutvik Patel holds Master'S Degree, Computer Science, 3.90/4.00 (Gpa) from Western University.
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