Ashish Dandotiya

Computer Science graduate with 2.5 years of experience in EdTech. Skilled in Data Science, Machine Learning, and Analytics, with hands-on expertise in Python, SQL, Power BI, Data Visualization, and Data Modelling. Proven ability in training and mentoring 1000+ learners, delivering an average of 4 teaching hours daily through interactive sessions and project-based learning with an average feedback score of 4.5/5.

Strong foundation in AI/ML algorithms, applied problem-solving, and the ability to design and deliver industry-relevant curricula. Passionate about leveraging data-driven insights to solve real-world challenges.

Data Science and ML Trainer / Data Analyst at Samatrix.io (2024-02 – Present)

As a Data Science and AI/ML Coach, responsible for developing and curating training content aligned with the organization's academic framework and industry standards.

• Delivered industry-oriented training in Data Science, Artificial Intelligence (AI), Machine Learning (ML), Python, SQL, Excel, and Power BI across multiple universities, including LNCT University Bhopal, SAGE University Bhopal, Sushant University Gurugram, and other higher education institutions.
• Trained and mentored students from diverse academic programs, including B.Tech, BCA, BBA, and MBA, by designing and delivering hands-on, industry-relevant learning experiences, practical assignments, case studies, and real-world projects in Data Science and AI/ML technologies.
• Deliver lectures on advanced topics in data science, machine learning, and artificial intelligence, drawing on real-world industry applications from healthcare, IT, and finance sectors.
• Mentor students through hands-on projects, guiding them to apply theoretical knowledge in practical scenarios, especially in data analysis, ETL processes, and database management.
• Organize and lead workshops, hackathons, and seminars, fostering innovation and a research-driven mindset among students.
• Handles the entire PG Program in Data Science and Analytics and Certification in Data Analytics with Generative AI.
• Delivering lectures, mentoring sessions, and live interactions, while simplifying complex technical concepts, addressing student queries, and guiding learners through real-world projects.
• Demonstrating strong technical expertise in Artificial Intelligence, Machine Learning, and Data Science, combined with effective communication, pedagogy, and applied industry knowledge.
• Designing and conducting bootcamps, hackathons, blogathons, quizzes, and mock evaluations to foster applied learning and student engagement.
• Contributing to project-based cohorts, focused on building and deploying real-world AI/ML applications that simulate industry challenges.
• Collaborating with cross-functional teams to incorporate the latest tools, frameworks, and case studies into the curriculum, ensuring content remains current and application-driven.
• Evaluating learner performance through practical assessments and capstone projects, while providing constructive feedback to enhance their technical and problem-solving skills.

Bachelor of Engineering in Computer Science Engineering – RGPV University (2013)