
GSN Consulting
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Jobs at GSN Consulting

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- 4+ years of extensive EXP in TIBCO SPOTFIRE Dashboard Development is MUST
- Design and create data visualizations in TIBCO Spotfire
- Proven EXP in delivering Spotfire solutions to advance business goals and needs.
- Detailed knowledge of TIBCO Spotfire - report developer configuration
- EXP on creating all charts that exist in Spotfire (scatter, line, bar, combo, pie, etc.) and how to manipulate every property associated with a visualization (trellis, color, shape, size, etc.)
- EXP in writing efficient SQL queries, views in relational databases such as Oracle, SQL Server, Postgres and BigQuery (Optional).
- Ability to incorporate multiple data sources into one Spotfire DXP and have that information linked via data table relations.
- EXP with Spotfire Administrative tasks, load balancing, installation/configuration of servers and clients, upgrades and patches would be a plus.
- Strong background in analytical visualizations and building executive dashboards.
- In-depth knowledge & understanding of BI and Datawarehouse concepts

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5+yrs with WINDOWS DRIVER DEVELOPMENT in is MUST
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Hands on EXP in C++ Programming is MUST
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Understanding of FIRMWARE and HARDWARE DESIGN principles.
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EXP in LAPTOP and DESKTOP domain
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Hands on EXP in JENKIN and GITHUB
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EXP or understanding of FIRMWARE DESIGN TOOLS and LANGUAGES.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
High Level Scope of Work :
- Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
- Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
- Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
- Gather additional and external data sources to support the AI/ML Model as desired .
- Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
- Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)
Required technology expertise :
- Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
- Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
- Strong Database Development knowledge using SQL and PL/SQL
- Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
- Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
- Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
- Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
- Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
- Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.
Qualifications
- Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
- Certified as DATA SCIENTIST or MACHINE LEARNING Expert.
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Credilio is founded with the idea of digitizing the distribution value chain of personal finance products. The mission of Credilio is to create a nationwide army of multi-branded trained advisors who can assist in the digital onboarding of loans and cards. Credilio enables a small financial advisor to educate customers and recommend lending products that are best suited to meet their unique requirements and further enables them to subscribe for credit cards or loans digitally.
The company does this by providing a large range of product offerings and a customized recommendation tool through a simple mobile app that empowers advisors to be truly digital and future-ready. In addition, the platform allows for instant online approval by leveraging open banking APIs of Banks and NBFCs, thus making the purchase process transparent and paperless. It has reduced the average prospecting-to-onboarding time to less than 10 minutes in a single session as compared to the industry average of an interrupted process over 2-3 days.
A challenger start-up, Credilio is the brainchild of second-time entrepreneurial duo Mr. Aditya Gupta and Mr. Anand Kapadia. It’s backed by a clutch of Venture Capital funds namely Cornerstone Venture Capital Partners, Exfinity Venture Partners, and Param Capital founder Mukul Agarwal.
The platform currently partners with 20+ leading Banks and NBFCs and has over 10,000 Financial Advisors who have assisted more than 0.5 million customer applications getting processed fully digitally in a span of less than a year. The capital raised will power Credilio’s ambitious plans to meet an ARR of 100 cr. by March 2023 and serve 25 million customers through a million advisors in the next 3 years.
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