Data Analyst Intern

Job Title: State Sales head Job Category: Full time

Qualification Graduate in computer science, BE, /MBA Location Haryana State

Salary Range 50000 PM + Incentives Experience: More than 5 years

Position Overview: We are seeking a State Sales head with a passion for education and a proven track record

in sales to lead and expand our presence in the Haryana state. Ambitious and energetic candidates required

expertise in customer acquisition strategy & dedication for effective sales & marketing strategy to drive

sustainable financial growth with forging strong relationships & product knowledge.

Key Responsibilities:

● Sales Strategy: Develop & execute a comprehensive sales strategy that aligns with the company's

goals and objectives. Continuously evaluate and refine the strategy based on market trends & customer

feedback.

● Revenue Growth: Meet and exceed revenue targets by identifying business opportunities, negotiating

contracts, and managing the sales pipeline. Foster long-term relationships with key accounts.

● Market Analysis: Stay updated on industry trends, customer needs to inform product development and

sales strategies. Conduct market research, competition & competitor analysis to identify opportunities

for growth.

● Sales Process Optimization: Implement & improve sales processes, systems & follows the best

practices in sales and customer relationship management, use tools to enhance efficiency &

effectiveness.

● Reporting and Analysis: Regularly analyze sales data and performance metrics to provide insights

and recommendations for improvement. Present reports to senior management to track progress and

make informed decisions.

● Customer Engagement: Collaborate with the marketing team to create targeted marketing campaigns,

promotions, and events to attract and retain customers. Ensure exceptional customer satisfaction

through effective communication and support.

● Collaboration: Identify and establish strategic partnerships with educational institutions, organizations

& other stakeholders to expand the company's reach and influence in the EdTech sector.

Qualification and experience:

● Proven working experience as a State Sales head in K-12 or CBSE school business,

● Proven sales track record, computer Proficiency for proposal development & CRM tools

● Market knowledge, strong relationship is expected with ability to build rapport

● Good analytical & Strong problem solving skills, listening and questioning skills, combined with the

ability to interact confidently with clients, able to work under pressure in result oriented manner

● Graduate from any branch computer science, MBA, BA, B.Com

● Edtech/Book publisher or sales & marketing experience are added advantages

Company Profile: Scholarclone is an innovative EdTech company committed to transforming education

through cutting-edge technology solutions. We provide a range of online learning & administrative platforms,

resources, & tools designed to empower educators and learners alike. With a mission to make education

accessible and engaging, administrative solutions and integrated business applications to a wide spectrum of

clients including education institutes.

Job Summary

We are looking for an experienced AEM Forms Developer to design, develop, and maintain enterprise-level forms and document solutions using Adobe Experience Manager (AEM) Forms. The ideal candidate should have strong hands-on experience with adaptive forms, workflows, and integrations.

Key Responsibilities

• Design, develop, and maintain AEM Adaptive Forms, XDPs, and PDF forms
• Implement AEM Forms workflows, including approvals and automated processes
• Customize AEM Forms using Java, Sling, OSGi, and HTL
• Integrate AEM Forms with backend systems (REST/SOAP services, databases)
• Work on form validations, pre-fill services, and submit actions
• Troubleshoot and resolve issues related to forms, workflows, and deployments
• Collaborate with business analysts, UI/UX teams, and backend developers
• Ensure best practices for security, performance, and scalability
• Support deployment activities and production issues

Required Skills

• Strong experience with AEM Forms (6.x)
• Hands-on experience with Adaptive Forms and Workflows
• Proficiency in Java, J2EE, Sling, OSGi, Maven
• Experience with HTML5, CSS, JavaScript
• Knowledge of REST APIs and third-party integrations
• Experience with CRXDE, Package Manager, Dispatcher (good to have)
• Understanding of SDLC and Agile methodologies

Good to Have

• Adobe AEM certification
• Experience with Document Services (PDF Generator, Output, Assembler)
• Exposure to cloud environments (AWS/Azure)
• Experience with accessibility standards (WCAG)

Job Title: HR Recruiter

Company: JNJ Technologies & Services LLP

Location: Work from Home

Job Description:

We're looking for a motivated HR Recruiter to help us expand our sales team by hiring Sales Executives focused on selling annual car and bike subscription products. As our platform grows, we need a steady influx of skilled sales personnel. This role will also involve recruiting for BDA, TL, and BDM profiles.

Key Details:

Experience: Open to all levels

Qualifications: B.Com, BBA, MBA in HR

Working Days: 6 days/week (Sundays off)

Shift: 10:00 am - 7:00 pm

Language Requirement: Proficiency in English

Laptop/Wi-Fi: Candidates should have their own laptop.

Compensation:

Training: 7 days unpaid

Salary: Per successful hire, earn ₹1000-₹3000, depending on the designation.

Compensation:

Initial 2 Months: Performance-based period; no fixed salary. You'll earn ₹1000 - ₹3000 per candidate successful hire, depending on the designation.

After the performance period, additional compensation may be reviewed based on performance and hiring success.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Job Description:

Must-Have (Unity):

• Strong understanding of Unity3D (Version >= 2019).
• Strong understanding of Unity’s Nested Prefabs.
• Strong understanding of Unity’s Classic InputManager & New InputSystem.
• Strong understanding of Joystick/Controller/Keyboard input mapping using Unity’s Classic InputManager & New InputSystem.
• Strong understanding of UI navigation using Joystick/Controller/Keyboard input.
• Strong understanding of UnityWebRequest and Rest APIs uses in Unity.
• Strong understanding of Save/Load data in JSON notation.
• Strong understanding of debugging Console/Standalone/Mobile applications.
• Good understanding of libraries and plugins like JsonUtility, NewtonSoft, DoTween and TextMeshPro.
• Good understanding of responsive UI implementation in Unity.
• Good understanding of streaming assets in Unity.
• Basic understanding of Unity Editor scripting.
• Basic understanding of Unity’s custom builds pipeline for Console/Standalone/Mobile applications.
• Basic understanding of CI/CD using Jenkins for Unity projects.

Must-Have (Others):

• Good understanding of JSON and XML notations.
• Good understanding of DLL (Dynamic Link Library) creation using Visual Studio.
• Good understanding of project management software like JIRA and YouTrack.
• Good understanding of using GitHub/GitLab platforms.
• Basic understanding of versioning systems like git.
• Basic understanding of Linux and Bash Commands.

Good To Have:

• Basic understanding of Consoles (Xbox, PlayStation, Nintendo) and Controllers (Wired, Wireless).
• Basic understanding of using Chromium based Browsers/WebViews in Standalone Unity applications.
• Basic understanding of Shaders especially Blur Shader.
• Basic understanding of UPnP, SSDP, and JsonRpc based communication protocols.
• Basic understanding of SCRAM based authentication mechanism.
• Basic understanding of libraries like StreamJsonRpc, StreamRpc, RSSDP, ZFBrowser/Embedded Browser.
• Basic understanding of TCP/IP Protocols and Network Streams in C#.
• Basic understanding of Reflection in C#.

Platform for creators to build communities and monetise them Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, Whatsapp & Telegram - none of which were built either for community engagement or creator monetisation. Community creators have to go through the pain of managing multiple third party tools to engage and monetise their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetise it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetisation, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets. In the last few months, we have helped 100+ creators monetise their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs

Skills Required -JavaScript, CSS, HTML 5, Angular -Strong knowledge of Angular is a must -Fluent in responsive design and mobile / tablet UI / UX -Web mobile (touch devices: mobiles and tablets) experience is expected -UI Performance: should have hands-on experience of optimizing page load, rendering, caching -Good understanding of AJAX and its UI implications -Understanding of REST Apis -Have worked on high scale growth projects in the past -Prior experience working in a tech startup is a plus

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning