GANESH KUMAR NAGARAJAN
PROFESSIONAL SUMMARY
Dynamic academic professional with over a year of experience in graduate-level tutoring and mentoring, specializing in supervising diverse research projects. Successfully established laboratories for advanced courses, focusing on wet lab molecular genetics and multidrug-resistant antimicrobial studies. Proficient in bioinformatics and next-generation omics, with a goal to leverage research expertise into a transformative industry role. Core competencies include adaptability, effective communication, and diligence.
SKILLS AND TOOL-SETS
Competencies: Molecular Microbiology, handling pathogenic and multidrug-resistant strains, antimicrobial assays (CLSI standards), immunoand cytotoxicity assays, Bioconductor for R, and Bioinfo servers
Programming languages: BioPython, R programming language, C/C++, and C++ (basic)
Development Tools: R Studio, Reactome, String, GeneMania biological network analysis tools for multi-omics analysis, cell-sens fluorescence, and electron microscopy analysis, MS Office
Certifications: Post Graduate Program in AI and Machine Learning (PGP), AIML in Biology, Bioinformatics, and Computational Biology, Certification Program on Next-Gen Omics and Its Applications
RELEVANT EXPERIENCE
Assistant Professor & Head of Department
SRM Institute of Science and Technology| Department of Biotechnology | Deemed to be University
- Coordinated with administrative authorities and team to optimize department workflows, resulting in a 20% improvement in operational efficiency.
- Played a key role in rapidly creating undergraduate laboratory infrastructure.
- Managed virtual advertising efforts, leading to a 30% growth in enrolled students.
- Consistently maintained a high student success rate of 98% per semester in exams.
- Applied advanced pedagogical methods to enhance the educational experience.
- Guided students in undertaking innovative industry-driven projects.
Assistant Professor
Vel Tech | Deemed to be university | Technical Education division| Avadi
- Supported educational content enhancement activities managed by the Board of Studies.
- Guided students through hands-on learning experiences within the CDIO (Conceive, Design, Implement, and Operate) framework.
- Worked jointly with colleagues on curriculum improvement initiatives to maintain high academic standards.
Senior Research Fellow and Research Experience
IIT Kharagpur | ATDC and Dept of Biotechnology| Molecular microbiology lab| Prof. Anindya S Ghosh
- Performed comprehensive research on nanoparticle synthesis aimed at antimicrobial agents, leading to various published journal articles.
- Assessed efficacy of polymer-based nanomaterials in fighting antibiotic-resistant microorganisms.
- Enhanced effectiveness of nanomaterials by ten times against resistant microorganisms.
- Efficiently enhanced susceptibility of clinical isolates of Klebsiella superbugs to beta-lactam antibiotics.
- Granted institute funding to present work at FEMS 2017 conference held in Spain.
Jonior Research Fellow / Assitant
IIT Kharagpur| ATDC and Dept of Biotechnology| Molecular microbiology lab| Prof. Anindya S Ghosh
- Authored or co-authored manuscripts for publication in peer-reviewed journals.
- Maintained compliance with ethical standards and protocols in research activities.
- Engaged with the academic community through seminars, workshops, and peer reviews.
PROJECTS
Triple-Negative Breast Cancer Transcriptomics Differential Expression Analysis
DGE, Heatmap, Pathway Network Analysis, iLINKS 11/2024
- Gene Expression Analysis: Predicted and identified top genes that are up-regulated and down-regulated in breast cancer groups.
- Pathway Analysis: Established the role of Rho GTPase in cancer progression and metastasis, highlighting its interactions with other pathways through pathway enrichment analysis.
- Personalized Interventions: Suggested personalized intervention strategies based on specific breast cancer types.
Restaurant Sales Prediction and Forecasting Based on Items
EDA Analysis, Linear Regression, LSTM Neural Network. 08/2024
- Exploratory Data Analysis (EDA): Revealed cyclical sales patterns based on various items at different periods; suggested items using predictions from random forest algorithms.
- Neural Network Analysis: Conducted sales data analysis using neural networks and projected sales forecasts for the upcoming year, identifying clear patterns.
Drug Target Screening of HIF1A in Cancer and Their PPI Pathway Enrichment
PDB, PPI network analysis , human atlas .09/2023
- Gene Cluster and Protein Targets: Identified a gene cluster of 77 and potential protein targets to inhibit Hypoxia-Inducible Factor 1-alpha (HIF1A), preventing tumor progression through angiogenesis mediated by VEGF growth factors.
- Future Directions: Recommended further validation and deep pathway enrichment studies to screen for additional potential targets.
Education
PGP: Machine Learning And Computing
[hidden]: Biotechnology
[hidden]: Biotechnology
[hidden]: Biotechnology
Journal Publications
7 international Journal publications
h-index -6, i10 index -3
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Cover Letter:
Dear Hiring Manager,
I am writing to express my enthusiastic interest in the AI/ML Analyst position at Bizamica, as advertised on BiotechniKa. With my strong foundation in data analysis, machine learning algorithms, and a passion for leveraging AI to solve complex problems, I am confident I possess the skills and drive to make a significant contribution to your team.
I am a quick learner, possess strong analytical and problem-solving skills, and am comfortable working in a collaborative team environment. My resume, attached for your review, provides further details on my qualifications and experience.
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