I am a results-driven Machine Learning Enthusiast with over 8 years of experience in academia and hands-on research. I specialize in applied research, AI/ML model development, technical mentorship, and delivering data-driven solutions. I have a proven track record of designing and implementing machine learning models for real-world applications, including natural language processing, computer vision, and time series forecasting. I am passionate about applying cutting-edge ML techniques to build scalable, ethical, and impactful AI systems. My experience includes guiding student research, publishing research papers, and consulting across multiple industries such as healthcare, manufacturing, retail, and finance. I enjoy integrating industry insights into academic teaching and mentoring both students and junior professionals to align with best practices in AI and ML.

Prasann Barot

I am a results-driven Machine Learning Enthusiast with over 8 years of experience in academia and hands-on research. I specialize in applied research, AI/ML model development, technical mentorship, and delivering data-driven solutions. I have a proven track record of designing and implementing machine learning models for real-world applications, including natural language processing, computer vision, and time series forecasting. I am passionate about applying cutting-edge ML techniques to build scalable, ethical, and impactful AI systems. My experience includes guiding student research, publishing research papers, and consulting across multiple industries such as healthcare, manufacturing, retail, and finance. I enjoy integrating industry insights into academic teaching and mentoring both students and junior professionals to align with best practices in AI and ML.

Available to hire

I am a results-driven Machine Learning Enthusiast with over 8 years of experience in academia and hands-on research. I specialize in applied research, AI/ML model development, technical mentorship, and delivering data-driven solutions. I have a proven track record of designing and implementing machine learning models for real-world applications, including natural language processing, computer vision, and time series forecasting.

I am passionate about applying cutting-edge ML techniques to build scalable, ethical, and impactful AI systems. My experience includes guiding student research, publishing research papers, and consulting across multiple industries such as healthcare, manufacturing, retail, and finance. I enjoy integrating industry insights into academic teaching and mentoring both students and junior professionals to align with best practices in AI and ML.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Assistant Professor (Computer Engineering and Machine Learning & AI) at Various Universities
April 30, 2025 - August 25, 2025
Designed and delivered project-based curricula in Machine Learning, Deep Learning, and Data Science with focus on real-world applications such as NLP and computer vision. Supervised over 10 AI/ML capstone projects guiding students through full ML lifecycle including deployment. Conducted applied research with multiple IEEE and Springer publications. Organized hands-on AI training programs attended by over 500 participants. Developed real-world AI/ML use cases and created interactive dashboards for university academic analytics using Power BI.
Data Science & AI Consultant at AkashTechnolabs
December 31, 2024 - August 25, 2025
Delivered data science and AI solutions in healthcare, manufacturing, retail, finance, and occupational safety by leveraging Python, R, MATLAB, TensorFlow, Tableau, and AWS. Analyzed complex datasets including biosignals and time-series, building predictive models and visualizations for actionable insights. Designed and deployed scalable machine learning models in production and collaborated with cross-functional teams ensuring compliance with data privacy and ethics. Key projects included a predictive maintenance system reducing downtime by 20%, biosignal analysis pipelines enhancing worker safety, recommendation engines boosting e-commerce order values, retail dashboards increasing operational efficiency, and LSTM time-series forecasting improving supply chain logistics.

Education

Master of Technology at Charotar University of Science and Technology
June 1, 2014 - May 31, 2016
Bachelor of Engineering at Gujarat Technological University
June 1, 2009 - May 31, 2013

Qualifications

Deep Learning Specialization from DeepLearning.AI
January 11, 2030 - August 25, 2025
IBM Skill Network and Simplilearn Data Science and Machine Learning Certifications (Python for Data Science, Data Analysis with Python, Data Science with Scala, Deep Learning with TensorFlow, Power BI for Beginners, Statistics Essential for Data Science)
January 11, 2030 - August 25, 2025
GATE (Graduate Aptitude Test in Engineering) Qualified
January 1, 2017 - August 25, 2025
GATE (Graduate Aptitude Test in Engineering) Qualified
January 1, 2020 - August 25, 2025
UGC NET (National Eligibility Test) for Assistant Professor Eligibility
December 1, 2019 - August 25, 2025

Industry Experience

Healthcare, Manufacturing, Retail, Financial Services, Education, Software & Internet, Telecommunications, Transportation & Logistics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

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