• Pursuing Master of Science in Life Science Informatics Semester 2.
  
• Completed B.Sc Bioinformatics in 1st class with distinction in May 2021. Degree conferred on the 1st day of month of February 2022.
  
• Completed 12th standard education at Bal Bharati Public School, NTPC Jhanor Gandhar, Urja Nagar, Bharuch Gujarat (CBSE Board) with 90.4 %.
  
• Completed 10th standard education at Queen of Angels Convent Higher Secondary School ICSE board, Vadadla, Bharuch, Gujarat 392015 (ICSE Board) with 80.83 %.
  

• Python programming language (Part of curriculum and Add-on course)
  
• Java Programming language (Part of curriculum)
  
• C programming language (Part of curriculum)
  
• Algorithms in Bioinformatics(Part of curriculum)
  
• Machine learning and Data science ( Add-on course)
  
• PHP, JavaScript and MySQL(Part of curriculum)
  
• R language (Part of curriculum and Add-on course)
  

• Abinitio Protein Modelling (Part of curriculum)
  
• Protein Structure assessment (Part of curriculum)
  
• Protein-Protein Docking (Part of curriculum)
  
• 3D QSAR and Pharmacophore mapping (Part of curriculum)
  
• Reverse Docking (Part of curriculum)
  
• Sequence alignment and phylogeny studies (Part of curriculum)
  

• Assay activities of Amylase, Acid phosphatase and Invertase (Part of curriculum)
  
• Grampositive, negative spore staining (Part of curriculum)
  
• Growth and cultivation of bacteria (Part of curriculum)                                                                                                                                                                   
• Protein and carbohydrate estimation (Part of curriculum)
  
• Widal test and ELISA tests( antibody conc. studies) (Part of curriculum)
  

• Windows
  
• Ubuntu
  

• Schrodinger Docking software
  
• Molegro Virtual Docker software
  
• VLife Sciences(Pharmacophore and QSAR)
  

• NPTEL Functional genomics 4 week certification course from IIT Kanpur, securing 70%.
  
• University of Helsinki online MOOC course in Artificial intelligence certification awarding 2 ECTS credits.
  
• NEILT Data science and machine learning 6 week course with A grade certification.
  
• Kaggle Python Course certification.
  
• University of Ahmedabad conducted Gujarat Science Academy: Annual Minakshi Lalit state level bioinformatics exam 2nd position 2018-2019.
  
• University of Ahmedabad conducted Gujarat Science Academy: Annual Minakshi Lalit state level bioinformatics exam 2nd position 2019-2020.
  
• Schrodinger Drug Discovery course 12/8/2019.
  

• 1st in Review Article Presentation 10th April 2019 organised by Dept. of Bioinformatics.
  
• 1st in Poster presentation 4th October 2018 organised by Dept. of Zoology (Nature’s club).
  

• Review article: AI in Healthcare; publication in Proceedings of International Science Symposium on Recent Trends in Science and Technology(8-9th April, 2021), Organized by Christ College, Rajkot & Sponsored by GUJCOST & GSBTM, Gandhinagar.
  
• Dissertation completed. Topic : Kabasura Kudineer and Thondasura kudineer siddha medicine effects on SARs-nCov-2. Pending publication
  

• Science excellence-2018 state level paper presentation: Bioinformatics 20th September 2018.
• 
  Chrizellenz (S4) Elocution debate and Essay writing; intercollege cultural euphoria by Christ Institute of Management.
• 
  Gujarat State sponsored GSBTM 11th national Science Symposium on “Recent trends in Science and Technology” oral presentation: Regeneration medicine.
• 
  Gujarat State sponsored GSBTM 11th national Science Symposium on “Recent trends in Science and Technology” poster presentation: Synthetic Biology.
• 
  Gujarat State sponsored GSBTM 12th national Science Symposium on “Recent trends in Science and Technology” oral presentation: CRISPER-Based processing unit.

• “Need for IPR in student Innovation and entrepreneurship” 10th August 2019.
  
• UGC-CAS Dept. of Biosciences “National conference on New Horizons of Biological Sciences”.
  
  

• Applied Bioinformatics.
  
• Data science application based studies.
  
• Computer Aided Drug Discovery and computational Biology.
  
• Artificial Intelligence and machine learning.
  

https://drive.google.com/file/d/1vvNKMi2f6RMiUfEikryuSryN1R0r0WUZ/view?pli=1