Summary:
An enthusiastic Computational Biology graduate with a strong background in Bioinformatics, Data Analysis, and Machine Learning. Experienced in utilizing various tools and technologies for genomics data analysis, RNA-seq, and development of AI-ML models. Seeking opportunities to leverage skills and knowledge in a dynamic research or industry setting.
Education:
- Indraprastha Institute of Information Technology, Delhi
[hidden] (Computational Biology) | 2023-2025 - Ashoka Institute of Technology & Management, Varanasi, UP
[hidden] (Biotechnology) | 2019-2023
CGPA: [hidden] - St. Mary’s Convent School Sonatalab, Varanasi, UP
12th CBSE | 2017-2018
Percentage: [hidden] - St. Mary’s Convent School Sonatalab, Varanasi, UP
10th CBSE | 2015-2016
CGPA: 10
Skills:
- Expertise Area: Computational Biology, Bioinformatics, Data Analysis
- Programming Language: R, Python, SQL
- Tools and Technologies: NGS Data Analysis, Genomics Tools, AI-ML Techniques
- Technical Electives: Data Science in Genomics, Computational Metagenomics
Internship/Experience:
- MRD Life Sciences, Lucknow (July,21–Aug,21)
Gained hands-on experience in total protein isolation, estimation, SDS-PAGE, enzyme assays, DNA isolation, gel electrophoresis, and PCR.
Projects:
- Project in Genomics & Transcriptomics, IIIT-DELHI (June,24-present)
Topic: Estimating Functions of Genes, Enhancers, and Promoters Using Machine Learning - Project in Bioinformatics (Jan,25-Jan,25)
Topic: Identification of Tissue-Specific Biomarkers Using CpG Methylation and NGS Data
Professional Profiles:
- LinkedIn: [Link to LinkedIn Profile]
- GitHub: [Link to GitHub Profile]
Positions of Responsibility:
- Teaching Assistantship: Technical Communication
- Head Girl of the School (Aug24-Dec24)
Awards and Achievements:
- GAT-B Fellow, Department of Biotechnology-2023
- Best Girl Award-2018
Interests and Hobbies:
- Reading books
- Listening to music
Declaration:
The above information is correct to the best of my knowledge.
Skills:
Computational Biology, Bioinformatics, Data Analysis, R, Python, SQL, NGS Data Analysis, Genomics Tools, Machine Learning, Deep Learning, Python Libraries, AI-ML Techniques
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Cover Letter:
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