Machine Learning (ML)
Python
Data Science- Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
Requirements
- 2 - 4 years of relevant experience in Data science.
- Preferred education: Bachelor's degree in a technical field or equivalent experience.
- Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
- Experience in risk and credit score domains preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Kaleidofin
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To complete the financial analysis and projection modelling for ongoing monitoring of the high yield
loans for an UK based commercial bank
Analyzing and spreading the historical financial statements in excel
Analysis of financial statements including Income Statement, Balance Sheet and Cash Flow Statement
(incl. Free cash flow, funds from operations) of public and private companies
Going through the supplementary schedules, notes and MD&A for the detailed breakups and
normalizing the financial statements for exceptional items to arrive at the true profitability figures
Analyze the operating metrics to project the major line items like Revenues, EBITDA etc.
Preparing detailed capital structure and debt amortization schedules (tranche wise) including pro forma
adjustment for the acquisition. Candidate should have strong understanding of various classes of debt
(secured/unsecured/subordinated) and financing options used by the borrower for the deal
Analyzing the pro forma credit metrics like total leverage, interest coverage, fixed charge coverage etc.
Analyzing the financial covenants applicable to the borrower
Strong understanding of financial projections based on management guidance, company budget and
consensus estimates. This will include creating various scenarios like management case, sponsor
case, upside and downside case etc.
Screening the merger agreements and assessing synergies from the deal based on management
inputs and third party data sources
Strong understanding of calculating IRR and various valuation techniques like DCF, Peer multiple and
liquidation based recovery analysis for various debt pieces using recovery values for each asset type
Conducting detailed Quality Checks and delivering to the client
Responsible for achieving 100% quality
Meeting strict deadlines and ability to work under pressure
Ability to work individually and in the team
Update reporting manager on the tasks in hand, completed on a regular basis
Communicate with onshore Risk team for providing regular update and workflows
Provide inputs, involved in discussions and Implementing new ideas to generate efficiency
Requirements-
MBA (Finance) / CFA / CA (CPA equivalent)
Experience of 4 - 6 years in financial modeling and analysis using excel
Proficient in MS Excel
Prior experience of working on LBO models is preferred
Excellent written and spoken communication skills
Adobe Illustrator- Overall Synopsis (Skills to focus)
- Brush up your skills in Photoshop & Illustrator
- Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
- Photoshop tools – change the color of the background, remove a selection, pen tool etc.
- Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
- Try making some logo designs, and work on the curves & texture.
This is FULL TIME WFH NIGHT SHIFT role.
If interested kindly share your updated cv at 82008 31681
Python
Django
Vue.js
React.js💥 What will you do?
As a Backend Engineer, you will
- Create and maintain server-side code
- Designing database schemas to support business requirements
- Building reusable code and libraries for future use
- Troubleshoot and debug applications
- Write unit tests
- Stay up to date with current best practices
- Collaborate with front end engineers
- Optimization of the application for maximum speed and scalability
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with web-application-related technical issues and support their requirements.
🙋 What are we looking for?
While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are
- 2+ years of relevant work experience as a Backend engineer using Python frameworks like Django, Flask, etc
- Experience with relational databases like MySQL, PostgreSQL
- Good understanding of OOP concepts
- Understanding of code versioning tools, such as Git
- Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
- Experience writing unit tests for the application is a plus
- Experience with building REST APIs
- Superior analytical, conceptual, and problem-solving skills.
- Strong verbal and written communication skills in English.
Data Analytics
Java
Spring Boot• Understanding of OOPS Concepts and data structure
• Have practical knowledge/experience in JAVA , Microservices , Springboot , hibernate and
MySQL database
• Have idea in scrum and agile methodologies
• Good communicator and problem-solving attitude is a sure winner
• Teamwork skills, great attention to detail and organizational skills
Experience : 0-1 Year ( Freshers are welcome)
Job Location: Banashankari, Bangalore
Roles & Responsibilities:
- Read and understand the scope of work, and deliverables for the assigned project.
- Get confirmation on the same from TL/Manager.
- Ensure completeness/adequacy of data for a specified project. Coordinate with the site team.
- Have a good understanding of the relevant standards, and testing procedures.
- Prepare the reports as per the standard formats. Ensure customization is done if required from the client end.
- Keep track of completed, ongoing and upcoming jobs.
- Participate in the report discussions.
- Actively involve in training
PHP
Javascript
XMLResponsibilities :
- Assist in requirements gathering and technical planning to design solutions that meet client needs
- Create clean, well-documented, efficient, and standards-compliant code with an eye towards performance optimization
- Actively troubleshoot and support applications in production-- critical environments
- Implement and maintain Shopify development standards and best practices
- Tracks the work against plan and reports the status on agreed time without fail.
- Interface with the clients to understand and document their needs.
Primary Technical Skills:
Shopify and Shopify Plus
PHP
OOPS
JavaScript
XML
JSON
Basic Knowledge in React JS
Soft Skills
- Good oral and written communication.
Required Skills:
- 3 to 5 years of experience in working with Shopify and Shopify Plus stores
- Good knowledge of frontend development and liquid programming language
- Strong hands to Install & Customize new Shopify theme.
- Basic experience in writing Ruby scripts to run promotions
- Experience in integrating external API’s
- Experience in 3rd party integrations like ERP- Netsuite, SAP, Odoo, Microsoft Dynamics, Sage, Epicor etc.
- Experience in Implementing Shopify Ajax API, Admin APIs and configuring third party apps
- Knowledge of building custom, private and embedded apps
- Experience working with the following technologies: JavaScript (JQuery), XML, JSON, SQL, PHP, CSS3
- Knowledge in other ecommerce platforms like Magento, woocommerce, BigCommerce will be preferred.
- Experience with OOP PHP (2+ years)
- Familiarity with GIT
- Demonstrated ability to adapt and work with team members of various experience levels
- Ability to work with minimal direction with a focus on customer satisfaction
- Good written and verbal communication skills
React Native1. Atleast developed 2-5 Application Individually & Publishing apps on Google PlayStore and Apple store.
2.Heavy data storage in Preferences, SQLite database, and Realm and Any storage.
3. Understanding of React app architecture (Android & IOS).
4.Strong knowledge of OOPS concepts and Basic & Strong knowledge ofReact Native.
5.Hands-on Exposure like Git, BitBucket, SVN, etc.
What is a Data Prospectors day like?:
-
Collecting and editing data through extensive web research, using google sheets,
-
Analyzing multiple information sources to resolve factual discrepancies in data.
-
Engaging in online discussions with colleagues on best practices for getting positive results.
-
Ensuring quality of data in the database.
You are an outstanding candidate if you:
-
Love to spend hours in front of your PC
-
Superb at finding information on the web
-
Can type reasonably fast
-
Love to work with a tech-loving cool virtual team.
-
Have a webcam and mic and be available for meetings.
-
Are Tech Savvy
-
Can work close to UK (GMT Time Zone) working hours of 9 am - 5 pm.
-
Have the ability to problem-solve and work independently - but can ask questions when needed
-
Be open to training (as you will be trained by my project managers and me)
-
Have the hunger to be amazing at what you do
Educational Requirements:
University degree or equivalent. In lieu of a degree, 2-4 years of experience working in English in a business environment.
Work Experience at any of the following:
-
Web research
-
Link building
-
Localization projects
-
Data collection
-
Research and information analysis
Salary and Benefits:
- The salary of this job (Once it moves to a full-time position of 40 hours per week), will be from $520 to $840 per month, depending on experience and competency.
- The higher end of range will only be for prospectors with extensive professional experience as a high-quality link prospectors.
- But better than that, we have a set pay progression plan which means this can go up with time.
- And a performance incentive plan which means if you’re able to hit targets, you will also qualify for a quarterly bonus as well.
- And there’s even a chance of promotion - every management and senior position we have in the company has been from within.
Their services are available across the globe, with over 65% of their client base being from US, UK, and Canada. The company's primary focus is on Ayurveda and taking the ancient knowledge to anyone who wishes to bring back balance to their health and apply the tools in their everyday life.
- Working with marketing team for creatives, digital marketing for getting traffic on the key product types
- Working with Performance marketing team for better coordination on push, sms, email, facebook/ google
- Merchandising - Liaising with merchandising team to ensure we know what sells and that is served at right position (Sorting) - which customer sees what in each category - all data backed experiments
- Product Flow - Ensuring product flow is smooth, each time weeding out excess options, adding new relevant categories on L1, grid etc
- Monitoring and taking relevant actions for driving visits and conversions
- Working with assisted Sales team to drive better conversions, SOPs etc.
- Managing inventory for online for each category, sub category - planning ahead of sale etc
- Liaising with brand spoc for planning for peak marketing for margin/ inventory, Clearance sale stock with revised margins, return clauses etc
- Experience of 6+ years of managing a category in an e-commerce set-up or large FMCG companies
- Business development mindset and strong operational coordination skills
- Good negotiation skills
- Proficient in MS Office
- Attention to detail and comfortable working in a ground-up business environment.
- Team handling
- Strong experience in conversion improvement in an online environment, preferred
- Product management experience (not necessary a hard core product experience but with an understanding of customer journeys, basic UI/UX) would be an added advantage.
- Proven track record of scale-up and contributing to the revenue numbers.
- Understanding and ability to contribute to the various performance metrics (User/ Vendor/ Inventory/ Invoicing) across both online and offline channels.
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Full Stack Developer - Averlon