About Us
About - Skillkesari Academy
Skillkesari Academy is a career-focused training institute dedicated to building practical, job-ready skills in Data Analytics, Data Science, and modern tech domains. The academy was created with a clear purpose — to reduce the gap between what learners study and what companies actually expect in real job roles.
In today’s fast-changing industry, many learners invest time and money but still feel underconfident during interviews. This usually happens because learning remains limited to theory. At Skillkesari Academy, we focus on practical training, real business use cases, and hands-on learning so learners gain clarity, confidence, and industry-aligned skills.
Our programs are designed for students, working professionals, career switchers, and freelancers who want structured learning, clear guidance, and real career support.
Founder & Lead Trainer
Skillkesari Academy is led by Ghanshyam Poddar, Founder & Senior Instructor, with over 8 years of industry experience. He holds an MBA in Finance and Marketing and has worked as a Senior Data Analyst in multiple data-driven roles across analytics and business intelligence domains.
His expertise includes data analytics, business intelligence, reporting systems, and data-based decision-making used in real organizations. Ghanshyam is known for his simple, practical, and project-based teaching style. Learners are trained to understand concepts deeply, work confidently with tools, and solve real-world business problems the way professionals do in the industry.
Through continuous mentoring and an active professional network, he has guided a growing community of learners and professionals toward stable career growth.
You can explore his professional journey and connect with his growing community of 15000+ followers by visiting his LinkedIn profile below.
Our Training Philosophy
Our training philosophy is built around practical learning, clarity, and relevance. We do not believe in overloading learners with unnecessary topics. Instead, we focus on skills that are actively used in real job roles.
Our curriculum structure is inspired by Skill India, NSDC, NASSCOM FutureSkills, and global frameworks such as SFIA, DAMA-DMBOK, and IBM Data Science standards. This ensures learners gain structured, up-to-date, and industry-relevant knowledge.
Concepts are explained clearly in both English and Hindi, making learning comfortable for learners from different educational backgrounds.
Our Vision
Our vision is to become a trusted skill development academy that helps learners build strong careers in data and analytics by providing practical education, industry-aligned training, and honest career guidance.
We aim to empower learners with skills that create long-term career stability, not short-term certificates.
Our Mission
Our mission is to:
- Deliver practical, job-oriented training aligned with industry needs
- Make complex concepts simple and easy to understand
- Support learners with personal mentorship and career guidance
- Integrate Generative AI tools into learning for modern work environments
- Help learners become confident, skilled, and interview-ready professionals
Why Choose Skillkesari Academy
- Practical learning based on real job use cases
- Clear explanations in English and Hindi
- Personalized trainer support for every learner
- Flexible weekday and weekend batch options
- Generative AI tools integrated into every course
- Career and placement support aligned with current hiring needs
Along with training, learners receive resume building support, interview preparation, mock interviews, portfolio guidance, and professional career direction.
Contact Us
Ghanshyam poddar
Sr. Data Analyst
Founder & Sr. Instructor at Skillkesari Academy
- Aggarwal Corporate Tower, Plot No. 23, Govind Lal Sikka Marg, Prasad Nagar, Rajendra Place, New Delhi, Delhi 110008
- support@skillkesariacademy.com
- +91 8920697925 (Sr. Trainer, Ghanshyam Sir)
- +91 9871270035 (Sr. Trainer, Ghanshyam Sir)
- +91 7703926994 (Trainer, Rajeev Garg Sir)
- +91 9657563205 (Trainer, Gurdeep Ma'am)