Senior Academic Advisor

Must have
    - Experience with React and Redux or similar programming
    - Experience in Rest API integration
    - Passionate about the user experience

     - Android and IOS development
  - Other requirements
    - Good knowledge of Javascript functions and operators
    - Responsibility for major tasks and chores
    - Willing to resolve technical debt in the early step
    - Good understanding of sprint cycle in agile
    - Can communicate with developers and non-developers

Responsibilities:

• Engage directly with customers to design, develop, and deploy AI enterprise applications on the 
• Become an expert in application design and development on the ; lead design and code reviews of end-to-end customer applications
• Perform enhancement, testing, and troubleshooting, of applications with and on behalf of customers
• Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs
• Write specifications, documentation, and user guides for customer applications

 Required Qualifications:

• Bachelor’s degree in a Science, Technology, Engineering or Math (STEM) field
• 3+ years professional experience in a customer-facing role building enterprise cloud software applications
• Solid understanding of cloud computing concepts
• Solid understanding of databases types and trade-offs
• Demonstrated proficiency in Java and/or similar programming languages
• Working knowledge of Agile software development methodology
• Strong analytical ability and problem-solving techniques
• Strong organizational skills with high attention to detail
• Excellent interpersonal skills with the ability to work effectively in a cross-functional team

 Preferred Qualifications:

• Bachelor’s degree in Computer Science or equivalent field; graduate degree in complimentary STEM or Business field
• Experience building and deploying AI-based enterprise applications
• Solid understanding of common machine learning techniques, applications, and trade-offs
• Demonstrated proficiency in javascript and/or similar programming language
• Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications
• Proficiency in time series analysis, data cleansing, and data normalization

• 7+ years of full-time work experience after completing an undergraduate degree
• At least 2+ years of experience in engineering management experience.
• Experience with AWS, GCP, and/or Azure technologies including serverless
• You know what high-quality code — and software engineering processes — look like and know how to foster an environment that creates them.
• Execution focused with an ability to navigate ambiguity.
• Ability to do both long-term thinking and short-term planning.
• Experience creating, delivering, and operating multi-tenanted, distributed systems at scale.
• Experience leading 5+ engineers is preferred.

1. Maximize sales through a network and relationships to ensure strong business Collecting documents from the clients and further logging the application in Banks/NBFCs and following up for further sanction and disbursement.
2. Handling direct leads and converting them to closures.
3. Ensure the files are processed from the login stage to disbursement and liaise with internal departments (Operations and Credit) for completion.
4. Meeting local DSAs in the market and sourcing business from them.
5. Taking ownership of work assigned and meeting sales targets.
6. Constantly keep abreast of market trends and competitor intelligence so as to build and develop effective sales and marketing strategies.
7. Develop and maintain strong liaisons with the clients for repeat business or referrals.
8. Lead and supervise the team for the implementation of the growth agenda through appropriate training, motivation, and deployment strategies.

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

  after startups in India

• upGrad was earlier selected as one of the top ten most innovative companies in India

  by FastCompany.

• We were also covered by the Financial Times along with other disruptors in Ed-Tech

• upGrad is the official education partner for Government of India - Startup India

  program

• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

   

  Role Summary

  Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
  If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
  We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
  Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.

  
  Roles & Responsibilities

  • • 3+ years of experience in analytics, data science, machine learning or comparable role
    • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
    • Experience in building and deploying Machine Learning models in Production systems
    • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
    • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
    • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
    • Comfortable dealing with ambiguity and competing objectives

     

    Skills Required

    • Experience in Text Analytics, Natural Language Processing

    • Advanced degree in Data Science/Data Analytics or Math/Statistics

    • Comfortable with data-visualization tools and techniques

    • Knowledge of AWS and Data Warehousing

    • Passion for building data-products for Production systems - a strong desire to impact

      the product through data-science technique

About Graphene  

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best  

Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.  

Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.  

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.  

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.   

Job title: - Data Analyst 

Job Description  

Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines. 

Responsibilities and Duties  

• Managing end to end data pipeline from data source to visualization layer 
• Ensure data integrity; Ability to pre-empt data errors 
• Organized managing and storage of data 
• Provide quality assurance of data, working with quality assurance analysts if necessary. 
• Commissioning and decommissioning of data sets. 

• Processing confidential data and information according to guidelines. 
• Helping develop reports and analysis. 
• Troubleshooting the reporting database environment and reports. 
• Managing and designing the reporting environment, including data sources, security, and metadata. 
• Supporting the data warehouse in identifying and revising reporting requirements. 

• Supporting initiatives for data integrity and normalization. 
• Evaluating changes and updates to source production systems. 
• Training end-users on new reports and dashboards. 
• Initiate data gathering based on data requirements 
• Analyse the raw data to check if the requirement is satisfied 

Qualifications and Skills   

• Technologies required: Python, SQL/ No-SQL database(CosmosDB)     
• Experience required 2 – 5 Years. Experience in Data Analysis using Python 

•  Understanding of software development life cycle   

• Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI) 
• Automation steps needed to transform and enrich data.   
• Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.   
• Excellent verbal and written communication skills   

• Improving customer experience, not only for borrowers, but also other partners on the platform.
• Ensure seamless integration with data/ service providers and lending partners.
• When not doing any of above, write tests to prevent any regressions.

• Full-stack development experience.
• Experience with Ruby on Rails.
• Self-starter: Someone who can develop independently.
• Passionate about problem solving, ability to see the big picture.
• Realizes the value of 80-20

• Regular participation on Codechef, Topcoder etc. ( If yes, please cite your rank and pass on a link to your profile! )
• Prior experience at a bank / fin-tech / non-banking financial player in a technical role.