Company Name : Tech Mahindra

Job Title : Tech Lead

Job Id : 911183

Location : PUNE [India]

Domain : IT

Total Experience : 3.00 to 6.00 Years

Qulification : Graduates

Job Summary :

Must have skills Java, Springboot, Microservices Role Application designing experience, Good in design patterns etc. Hands on in Java technology stack (Core Java, Springboot, Microservices, Hibernate etc.) Any RDBMS database ( SQL server, Oracle, PostgreSQL etc.) Idea about any messaging platform ( Kafka, Rabit MQ, IBM MQ, MSMQ) , Payment domain or financial domain will be plus. Good Soft skills

About Us :

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology services and solutions that enable Enterprises, Associates and the Society to Rise™. We are a USD 3.4 billion company with 95,300+ professionals across 51 countries, providing services to 649 global customers including Fortune 500 companies. Our Consulting, Enterprise and Telecom solutions, platforms and reusable assets connect across a number of technologies to deliver tangible business value to all our stakeholders.

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How to Secure a Data Scientist Job as a Fresher in India: A Step-by-Step Guide

The buzz around data science is real! With businesses relying more on data-driven decisions, the demand for data scientists in India is skyrocketing. If you're a fresher looking to break into this dynamic field, here's a bullet-point playbook tailored just for you:

Understanding the Domain

• What is Data Science?
  • It melds statistics, data analysis, and machine learning to understand and exploit vast data sets, providing actionable business insights.
  • Data scientists help businesses make informed decisions by analyzing and interpreting this data.

Educational Pathways and Skill Building

• Degrees and Backgrounds
  • Beneficial backgrounds: Statistics, Mathematics, Computer Science, or Engineering.
• Online Learning Platforms
  • Utilize platforms like Upgrad, Udemy, Coursera, and Great Learning. They offer curated courses designed for rapid skill development.
• Engage in Workshops and Bootcamps
  • Participate in data science-centric events for hands-on experience.

Creating a Stand-Out Portfolio

• Dabble in Projects
  • Start with small, manageable projects. Use freely available datasets to practice your skills.
• Kaggle Competitions
  • Engage in Kaggle challenges to hone and showcase your skills.
• GitHub Repository
  • Document your projects on GitHub. It acts as a live portfolio showcasing your expertise.

Networking and Building Connections

• LinkedIn Activities
  • Optimize your LinkedIn profile for data science keywords.
  • Engage with professionals, participate in discussions, and join relevant groups.
• Local Networking
  • Attend data science meetups and workshops to meet like-minded individuals and professionals.

Job Application and Interviews

• Crafting the Perfect Resume
  • Ensure your CV emphasizes relevant skills, projects, and any internship experiences.
  • Use keywords like 'data analysis,' 'machine learning,' 'data visualization,' and others to pass through applicant tracking systems.
• Searching for Vacancies
  • Start with job boards specific to tech roles and company career pages.
  • Look for titles like 'Junior Data Scientist,' 'Data Analyst,' and 'Machine Learning Intern.'
• Ace the Interview
  • Familiarize yourself with common interview questions for data scientist roles.
  • Prepare to present your projects and explain your problem-solving approaches.

Continuous Growth and Learning

• Stay Updated
  • Data science is a rapidly changing field. Dedicate time to learn about new tools and techniques.
• Certifications
  • Pursue additional certifications in areas like deep learning or big data analytics to stand out.

Evaluating the Fit

• Is Data Science for You?
  • Have a genuine passion for data and its transformative power.
  • Be prepared for continuous learning, problem-solving, and adapting to new challenges.

In conclusion, securing a data scientist position as a fresher in India requires a blend of education, practical experience, and networking. By methodically following this guide, you'll be well on your way to embarking on a rewarding journey in data science. Happy job hunting!