Hands on in Power BI & Power Tool
Build Analysis Services reporting models.
Develop visual reports, dashboards and KPI scorecards using Power BI desktop.
Connect to data sources, importing data and transforming data for Business Intelligence.
Analytical thinking for translating data into informative visuals and reports.
Implement row level security on data and have an understanding of application security layer models in Power BI.
Make DAX queries in Power BI desktop.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Carbynetech
About
Carbynetech is a leading IoT and Digital Supply Chain consulting company focused on providing value-driven solutions across all industry verticals.
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Java
CC++We are looking "Senior Programmer" for Reputed Client @Permanent Role.
Experience: 4 - 8 Yrs
Required Technical :
• At least 2-year experience developing in 3G programming languages (C, C++, Java, etc.)
• At least 1 year working on porting assignments/projects
• 1-year experience with databases (developing, optimizing, scaling)
• solid understanding of Linux
• solid grasp of computer architecture (x86, System Z or POWER instruction set)
• Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems
• Experience in developing technical solutions for clients
• Effective interpersonal skills
• Ability to collaborate across teams and with clients
• Self-motivated and an aptitude to learn and apply knowledge quickly
Preferred Technical :
• Systems Z software and hardware background/experience
• Experience in open-source community development processes and tools
• Experience with CI/CD, Cloud & Databases
Location : Trichy , Madurai , Chennai
Python
Data AnalyticsDATA ANALYST
About:
|
We allows customers to "buy now and pay later" for goods and services purchased online and offline portals. It's a rapidly growing organization opening up new avenues of payments for online and offline customers. |
Role:
|
Define and continuously refine the analytics roadmap. Build, Deploy and Maintain the data infrastructure that supports all of the analysis, including the data warehouse and various data marts Build, deploy and maintain the predictive models and scoring infrastructure that powers critical decision management systems. Strive to devise ways to gather more alternate data and build increasingly enhanced predictive models Partner with business teams to systematically design experiments to continuously improve customer acquisition, minimize churn, reduce delinquency and improve profitability Provide data insights to all business teams through automated queries, MIS, etc. |
Requirements:
|
4+ years of deep, hands-on analytics experience in a management consulting, start-up or financial services, or fintech company. Should have strong knowledge in SQL and Python. Deep knowledge of problem-solving approach using analytical frameworks. Deep knowledge of frameworks for data management, deployment, and monitoring of performance metrics. Hands-on exposure to delivering improvements through test and learn methodologies. Excellent communication and interpersonal skills, with the ability to be pleasantly persistent. |
Location-MUMBAI
Profile:
• Head the product management for the 3rd party products including Smallcase, Mutual Funds, IPO, Insurance, Loan, Credit cards, Bank accounts, Gold, Bonds, etc.
• Lead a team of 7-10 Product Managers
• Responsible for revenue, market share, vol. of these products from 3 channels – online platforms, digital marketing, offline channels
• Own process and product development for these products
• Continuous competition tracking
• Training the various channels on products
• Coordinating with various teams to ensure timely completion of dependent activities
• Responsible for timely responding and resolving client queries / complaints
• Preparing volume/revenue/usage data reports
• Work closely with; & manage expectations of; multiple stakeholders like Business, Marketing, Compliance, Risk, Design, Technology, Program, and External vendors
• Single handedly take couple of product features from vision to launch stage
• Preparing short-term and long-term roadmaps of the products/features
• Define KPIs and set up benchmarks, to measure the performance of the product
• The candidate should have an analytical mindset who should be able to use data at ease – in finding hidden patterns and for understanding user behavior
• We are looking for someone who has deep empathy for the end customer
• Our candidate is the one who is extremely passionate about making his product a market success – a growth hacking mentality is what we are looking for
• The candidate should have hands-on experience in owning the complete product cycle – having taken multiple products from ideation to launch stage
• Past experience in industries like Fin-tech, AI/ML, Health-tech, Food-tech, Content-tech, Edu-tech, Gaming-tech, Social-tech etc. is an add-on but not at all mandatory
Qualification:
• Min. 3 years of product management experience in owning/growing 3rd party products
• Awesome communication and relationship building skill
• Able to solve complex problems in an structured manner
Reporting to: Product Head
Machine Learning (ML)
Data ScienceTensorIoT:
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.
The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life.
TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Preferred Requirements:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Hands-on experience in MLOps (model deployment, maintenance).
- Some experience working with Generative AI (LLM).
- Some experience in creating cloud-native technologies, and microservices design.
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Hands-on experience with Docker.
Minimum Requirements:
- Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- - Linear Algebra
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
Responsibilities for Content Writer
- Research and analyze top SEO content topics
- QC content to ensure it is free of grammatical or factual errors and follows all brand editorial guidelines for consistency.
- Research and write long-form content on various relevant topics
- Publish content on various platforms and analyze traffic performance
- Research and evaluate competitor marketing with a focus on content
- Write attractive Blogs, Articles and Comments.
- Plan and execute various SEO tasks
● Solving all product or service related issues of the customers.
● Giving the right pitch to the potential customers, so they end up buying the product or availing the services.
● Keeping a proper record of the customers.
● Maintaining and updating the information of the customers regularly.
● Providing the best possible solution to the queries of the customers.
● Making products and services reports by collecting and analysing the information
provided by the customers.
● Providing resolution to customer queries over the phone, emails, Whatsapp, etc.
Android DevelopmentJavaWe are looking for a Senior Android Developer responsible for the development and maintenance of applications aimed at a range of Android devices including mobile phones and tablet computers.
Job Description -
Job Title: Expert Android Developer (Home Automation)
Experience: 5 to 8 Years experience
Job Location: Indore, Madhya Pradesh, India
Salary: Open (No bar for the right candidate) upto 12 Lac
Joining: Immediate (prefer less than 15 days Notice Period)
Skills: Android, Rx java , Java/J2EE, Core Java, etc.
Job Purpose:
The Android Engineer is responsible for building advanced applications for the Android Phones & Android Tablets. The candidate is required to work closely with Development, QA, Project Managers, Designers, and other team members daily to ensure the timely and cost-effective delivery of the final product that exceeds client expectations.
Thanks & Regards
HR Manager
Contract length: 24 months
Expected Start Date: 1/3/2021
Job Types: Full-time, Contract
Salary: Up to ₹1,200,000.00 per year
C#C++
.NETJavaPythonDear Candidate,
I came across your candidature and want to discuss on a suitable role with us.Please find below JD and do reply with updated resume. Software Development Engineer – SDE 2. Bengaluru/Hyderabad/Gurgaon/Chennai/Pune As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. Top Skills You write high quality, maintainable, and robust code, often in Java or C++ or C# You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed. Roles & Responsibilities You solve problems at their root, stepping back to understand the broader context. You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact. You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications. You recognize and use design patterns to solve business problems. You understand how operating systems work, perform and scale. You continually align your work with Amazon’s business objectives and seek to deliver business value. You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer. You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon. You communicate clearly with your team and with other groups and listen effectively. Skills & Experience Bachelors or Masters in Computer Science or relevant technical field. Experience in software development and full product life-cycle. Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby. Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability. Proficiency in SQL and data modeling.
1. Monitor the quality of results of the automated system in the detection of attacks,
intrusions, and unusual, unauthorized or illegal activities.
2. Build and maintain scripts that collect cyber threats data from external sources as well as
from the in-house analytics engine, data quality inspection, and dataset creation for ML
with manual annotation.
3. Assist Data Scientists & Machine Learning Engineers in developing systems that
automate risk assessment/mitigation workflows.
4. Keep up to date with the latest security and technology developments.
5. Research and evaluate emerging cybersecurity threats and ways to manage them.
Required skills
1. Attention to details and a quality first mindset.
2. Knowledge of current hacking techniques, vulnerabilities, and security analysis
techniques.
3. Basic programming experience, and the ability to automate tasks.
4. Manual code review or source code analysis experience.
Note: We are a startup, you will have much more responsibilities.
Benefits
1. A competitive salary.
2. Health Insurance.
3. An awesome team that will challenge and respect you.
4. Lunch, Unlimited snacks and drinks.
5. Top notch office in the heart of Bangalore City.
Laravel
PHP
Javascript
NodeJS (Node.js)
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Full Stack Developer - Averlon