Parth Singh Email & Phone Number
Who is Parth Singh? Overview
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Parth Singh is listed as SW Engineer at Flexera, a with 1994 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Parth Singh.
Parth Singh previously worked as Associate Software Engineer at Flexera and Back End Developer at Finvolv. Parth Singh holds Bachelor Of Technology - Btech, Computer Science, 8.31 from Pes University.
Email format at Flexera
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About Parth Singh
Highly motivated SDE & a technology enthusiast with a passion for finding innovative solutions to simple & complex problems using technology. Proactive problem solver with excellent technical, people & communication skills. Excellent foundation in programming, algorithms, data structures, data analytics & AI/ML. Looking forward to opportunities to learn & contribute to domains like SDE, DevOps and Cloud
Parth Singh's current company
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Parth Singh work experience
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Associate Software Engineer
Current
Back End Developer
● Contributing to the Finvolv Core Platform Team & actively involved in building highly configurable, domain rich & low code Loan origination system (LOS) &Loan Management system (LMS). E2E development of modules like UAM and Workspace Portal.● Crafting tailored engineering solutions that seamlessly integrate with an array of LOS and LMS products. Creating robust REST endpoints and active development ofdiverse modules ranging from credit engines to portals, contributing to the overall system's success.● Built an API layer on top of Keycloak for Identity Access Management (IAM) to easily integrate, resulting in 30% increase in efficiency in tokenization process● Design & Development of the Notification module. Successfully developed and deployed a Document Management System on Amazon S3. Spearheaded thecreation of a secure Multi-Factor Authentication solution using Keycloak on the Authentication Layer. Building & Optimising Journeys, Workflow engine, Productconfiguration platform, Intergration broker, Identity and access management and Master modules which handles loan origination process from direct sales agent tocredit/risk managers and operations manager.
Sde Intern
Bringing AI & ML to improve user content interaction:● Developed innovative content interaction enhancements through AI & ML, helped design an advanced workflow that seemingly integrates CV & NLP to optimize content recommendation, personalization, real time analytics & targeted ads. ● The project involved working on multiple streams like Frame Extraction & Analysis, Image Captioning, Object & Orientation Detection, Object Tracking, Text Summarization,Image captioning. Achieved 20% improvement in metadata design and optimization for Live and VOD content.● Closely observed agile development principles & practices across the project lifecycle, driving iterative & adaptive progress towards achieving project objectives & cultivating a strong foundation for successful collaboration with my team.
Data Science Intern
● Leveraged NLP techniques to extract relevant text, pre-process it and remove noise. Applied data engineering techniques to ensure robust data handling and analysis, further enhancing sentiment classification though ML algorithms. Successfully engineered & analyzed over 2 petabyte of data for actionable insights & data-driven decision making. ● Helped provide insights into how people feel about various topics, brands, & products by analyzing large volumes of text data from wide variety of sources, such as social media, customer reviews & news articles. Result of this analysis helped in developing informed business strategies.
Data Science Intern
Aimed to develop a model that can forecast the future prices or trends of a particular set of stocks. This involved analyzing historical stock prices, volume, and other relevant data, as well as considering external factors that may affect the stock market, such as news events, economic indicators, and geopolitical developments. The project typically involved using machine learning algorithms, such as regression analysis, time series analysis, and neural networks, to build a predictive model that can accurately forecast future stock prices. The model was then tested and validated using historical data and was used to guide investment decisions
Colleagues at Flexera
Other employees you can reach at flexera.com. View company contacts for 1994 employees →
Tonia Abreu
Colleague at FlexeraItasca, Illinois, United States
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AV
Atharva Verma
Colleague at FlexeraBengaluru, Karnataka, India
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MM
Meghana Madhusudan
Colleague at FlexeraBengaluru, Karnataka, India
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DB
Dan Barr
Colleague at FlexeraGreater Stoke-On-Trent Area, United Kingdom
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RK
Ranjith Kumar
Colleague at FlexeraMadurai, Tamil Nadu, India
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VP
Varun Pattar
Colleague at FlexeraKarnataka, India
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NP
Nivedha Parthiban
Colleague at FlexeraBengaluru, Karnataka, India
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AH
Asal Hasselberg
Colleague at FlexeraStockholm, Stockholm County, Sweden
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YS
Yokesh S
Colleague at FlexeraBengaluru, Karnataka, India
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AF
All For
Colleague at FlexeraAustin, Texas, United States
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Parth Singh education
Bachelor Of Technology - Btech, Computer Science, 8.31
Pcm, Mathematics And Computer Science, 91.2%
Frequently asked questions about Parth Singh
Quick answers generated from the profile data available on this page.
What company does Parth Singh work for?
Parth Singh works for Flexera.
What is Parth Singh's role at Flexera?
Parth Singh is listed as SW Engineer at Flexera.
Where is Parth Singh based?
Parth Singh is based in Bengaluru, Karnataka, India while working with Flexera.
What companies has Parth Singh worked for?
Parth Singh has worked for Flexera, Finvolv, Irdeto, To The New, and Verzeo.
Who are Parth Singh's colleagues at Flexera?
Parth Singh's colleagues at Flexera include Tonia Abreu, Atharva Verma, Meghana Madhusudan, Dan Barr, and Ranjith Kumar.
How can I contact Parth Singh?
You can use AeroLeads to view verified contact signals for Parth Singh at Flexera, including work email, phone, and LinkedIn data when available.
What schools did Parth Singh attend?
Parth Singh holds Bachelor Of Technology - Btech, Computer Science, 8.31 from Pes University.
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