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Archana Lakhe

Assistant Professor
PhD (Pursing) SPCE
MTech (Data Science & Business Analytics) MPSTME
MTech (Control Systems) COEP
BTech (Electrical Engineering) NITR

basant-mohanty

Specialization : Machine Learning, Data Analysis, Control Systems, Electrical Engineering, Automation, Renewable Energy.

Academic Experience : (Number of Experience: =15Years+)

  • Assistant Professor at Mukesh Patel School of Technology Management and Engineering 1st July 2016 – till date (7 years, 9 months)
  • Assistant Professor at SPCE (on Contract & Visiting basis) 2008 to June 2016.

Membership:

  • Life Member of IETE. (Institution of Electronics and Telecommunication Engineers)
  • Life member of ISTE (Indian Society of Technical Education)
  • Associate Member IET (Institution of Engineering and Technology)

Number of PhD/ M. Tech Students Guided:

  • Certifications:
    • Faculty Development Program on "Future of Automation, Control and Technologies” organized by Center of Excellence (CoE) in Complex Nonlinear Dynamical Systems (CNDS), Department of Electrical Engineering under TEQIP-III from December 26-30, 2020.
    • Faculty Development Program and Teach the Trainer (T3) Workshop on "IBM Deep Learning” organized by IBM ICE Team and MPSTME from 26th November 2020- 30thNovember 2020.
    • Faculty Development Program and hands on Workshop on "IBM Big Data” organized by IBM and MPSTME from 7th June 2021-11th June 2021.
    • Faculty Development Program on "Development of Research Skills” organized by MPSTME in Collaboration with IET on 10th July 2018 – 14th July 2018.
    • Coursera Certification in "SAS Visual Business Analytics”.
      1. Coursera Certification in "Getting Started with SAS Visual Analytics _1”.
      2. Coursera Certification in "Data Analysis and Reporting in SAS Visual Analytics_2”.
      3. Coursera Certification in "Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics_3”.
      4. Coursera Certification in "Performance Network Path and Text Analysis in SAS Visual Analytics_4”.
      5. Coursera Certification on "Creating Advanced Reports with SAS Visual Analytics_5”.
    • Coursera Certification in "AI for Everyone Deep Learning AI.
    • Coursera Certification in "C for Everyone Programming Fundamentals”
    • Coursera Certification in "Data Science Math Skills”.
    • Coursera Certification in "Data Science with R_ Capstone Project”.
    • Coursera Certification in "Introduction to Big Data”.
    • Coursera Certification in "Introduction to Data Science in Python”.
    • Coursera Certification in "Learning to Teach Online”.
    • Coursera Certification in "Mathematics for Machine Learning Linear Algebra”.
    • Coursera Certification in "Mathematics for Machine Learning Multivariate Calculous”.
    • Coursera Certification in "Performance Assessment in the Virtual Classroom”.
    • Coursera Certification in "Understanding Research Methods”.
    • Coursera Certification in "Unsupervised Machine Learning”.

Service Activities (Within Organization)

  • Faculty In charge of IET in MPSTME 2020-2021, 2021-22, 2022-23, 2023-24
  • Convenor Alumni Affairs Committee MPSTMT 2021-22, 2022-23, 2023-24
  • Community Services Coordinator 2022-23
  • Student Council Colloquium mentor
  • Student Council Cultural Committee Mentor
  • Student Council UGC and AICTE activity reporting In-charge
  • Tool Kit Library Departmental In charge
  • Class Teacher for First Year B Tech Mechatronics 2021
  • Class Teacher for First Year B Tech Data Science 2023
  • Class Teacher for First Year BTI Tech Data Science 2024
  • Project mentor for B Tech, TIP mentor for MBA Tech and Implant Training mentor BTI 2017-2023
  • Capstone Project Mentor B Tech Data Science 2023
  • Internship mentor (Final Year) B Tech Data Science 2024
  • NBA Coordinator
  • NAAC Coordinator
  • BOTSON 1.0, BOTSON 2.0, BOTSON 3.0, BOTSON 4.0, BOTSON 5.0, BOTSON 6.0, BOTSON 7.0, BOTSON 8.0 BOT Making Workshop organizing since 2017 onwards every year in collaboration with IET Mumbai LN Committee.
  • Worked in organization committee of BADM (NMIMS Business Analytics and Data Mining Championship 24 Hours) in collaboration with SAS 2018.
  • Worked in organization committee of BADM (NMIMS Business Analytics and Data Mining Championship 24 Hours) in collaboration with SAS 2019.
  • Hack n Code 1.0, Hack n Code 2.0, Hack n Code 3.0, Hack n Code 4.0, Hack n Code 5.0 and Hack n Code 6.0, organizing 12 hours/18 hours Hackathon on different types of problems since 2018 onwards in collaboration with IET Mumbai Local Netwok.
  • Organized on global level "PATN”, Present Across The NET' on 25th July, 2020, in collaboration with IET.
  • Organized Alumni Meet, "Reminiscence 2022”, with the support of MPSTME Alumni Association, students committee for Alumni Work and Alumni Affair’s Committee on 26th March 2022.
  • Organized Alumni Meet, "Reminiscence 2023”, with the support of MPSTME Alumni Association, students committee, Alumni Connect for Alumni Work and Alumni Affair’s Committee on 25th February 2023.
  • Organized Alumni Meet, "Reminiscence 2024”, with the support of MPSTME Alumni Association, students committee, Alumcom, for Alumni Work and Alumni Affair’s Committee on 10th February 2024.

Service Activities (Outside Organization)

  • Vice President of IET Mumbai Local Network
  • Examination Paper Auditor in SPCE
  • External for Practical Examinations in DJ Sanghavi Institution.
  • Ordinary Member of IET Mumbai Local Network
  • IET Champion of the Year 2022 Award.

Journal Publications:

Conference Publication:

Books:

  • Book Chapter – Aditya Jain, Archana Lakhe " Unlocking Insights in Diabetes Prediction using data science and analytics”, in Advances in Data Science Publisher:
  • Book Chapter – Neelabjo Roy, Archana Lakhe " Assets Allocations Using Reinforcement Learning”, in Advances in Data Science Publisher:
  • Book Chapter – Sourabh Ahuja, Archana Lakhe " Technical analysis and strategizing using python on Quant connect, in Advances in Data Science Publisher:

Copyrights and Patents:

Academic Profiles:

  • Research Gate ID:
  • Google Scholar ID:
  • ORCID :
           
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