
Data Analytics and Data Science offline FRELANCER TRAINER Role
We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

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this role is for the technical trainer to train the student for the placements
you also act as a trainer cum developer for some projects
Position Title: Data Science Trainer
Company: TeksAcademy
Location: Hyderabad
Employment Type: Full-Time (Onsite)
About the Role:
We’re looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you’ll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making.
Key Responsibilities:
- Conduct Data Science Training: Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more.
- Create and Curate Course Materials: Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards.
- Facilitate Hands-On Learning: Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques.
- Assess and Provide Feedback: Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills.
- Stay Current with Trends: Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses.
- Provide Mentorship: Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work.
- Collaborate and Improve: Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results.
Required Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience: Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL.
- Teaching Experience: Proven track record of teaching or training in a technical field, especially data science, either online or in-person.
- Technical Expertise: Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.
Pay: ₹70,000.00 - ₹90,000.00 per month
Job description:
Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.
Job Title: Assistant Professor / Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)
Experience:
● Freshers can Apply● Experience - 8-10 Years
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Eligibility & Qualifications (As per AICTE/UGC Norms):
Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.
Experience: Minimum of 8 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
Good academic record throughout.
Proven ability to attract research funding.
Strong communication and interpersonal skills.
Work Location: [ KGiSL Campus]
Employment Type: Full-time / Permanent
Joining time: immediately
Job Type: Full-time
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
Job Title: Data Science Trainer
Location: Coimbatore
Employment Type: Full-time
Job Summary:
We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.
Key Responsibilities:
- Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
- Teach topics including but not limited to:
- Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
- Data Visualization (Matplotlib, Seaborn, Plotly)
- Statistics & Probability (Descriptive, Inferential)
- Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
- Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
- Big Data Tools (Hadoop, Spark – if applicable)
- Provide hands-on training with industry-relevant datasets and projects.
- Prepare lesson plans, assignments, assessments, and evaluation reports.
- Mentor learners individually to ensure conceptual clarity and practical application.
- Keep training content updated with the latest industry trends and technologies.
- Collaborate with the academic or corporate training team for curriculum improvement.
Required Skills & Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience in Data Science, Machine Learning, and Data Analytics.
- Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
- Strong understanding of statistical concepts and their application in data analysis.
- Experience with visualization tools like Tableau/Power BI is a plus.
- Excellent communication and presentation skills.
- Ability to simplify complex concepts for learners with varied backgrounds.
- Prior teaching/training experience preferred.
This role involves a balanced commitment to teaching, research, mentoring, and institutional service. The Assistant Professor will deliver high-quality instruction to undergraduate and graduate students, conduct innovative research, supervise student projects, and contribute to curriculum development and departmental governance.
We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.
We are looking for a dynamic and skilled Business Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Business Analyst, Power BI, Tableau, Machine learning
Job Title: Software Development Intern
Company: KGIST Microcollege (MGC)
Location: [Insert Location]
Job Type: Internship
Job Description:
- Assist in developing software applications using various programming languages
- Collaborate with the development team to design, develop, and test software solutions
- Develop knowledge and skills in software development practices and procedures
Responsibilities:
- Develop software applications using JavaScript, Java, HTML, Python, and C++
- Assist in debugging and troubleshooting code
- Participate in code reviews and contribute to improving code quality
- Collaborate with the team to meet project deadlines and goals
Requirements:
- Currently pursuing a degree in Computer Science or a related field
- Strong knowledge of programming languages, including:
- JavaScript
- Java
- HTML
- Python
- C++
- Female candidates only
- Strong problem-solving skills and attention to detail
- Ability to work in a team environment
What We Offer:
- Opportunity to gain hands-on experience in software development
- Collaborative and dynamic work environment
- Flexible work hours and remote work options (if applicable)
- Chance to develop skills and knowledge in software development practices
We are looking for a talented and enthusiastic Full Stack Web Developer to join our dynamic development team. The ideal candidate will have a strong grasp of both front-end and back-end technologies. This is a trainer cum developer role
This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.









