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Introduction

Innovative and driven Data Science and AI enthusiast with hands-on experience in machine learning, data science, and bioinformatics. Passionate about leveraging AI to solve real-world problems, with a good foundation in data preprocessing and predictive analytics.

Education

[hidden] Biotechnology | NMAM Institute of Technology (CGPA: [hidden]) | 2020 – 2024

Relevant Coursework: Data Science, Machine Learning, Bioinformatics, SAS

Technical Skills

• Programming & Tools: Python, Scikit-learn, Pandas, NumPy, RDKit, SAS, MATLAB
• Machine Learning & Data Science: Predictive modeling, Ensemble methods, Data preprocessing, Exploratory Data Analysis (EDA)
• Bioinformatics Tools: AutoDock Vina, PyRx, SwissADME, MolProbity
• Other: Data Visualization, Scientific Research, Communication

Experience

Bioinformatics Intern | BiotecNika (Remote) | July 2024 – Feb 2025

• Designed a streamlined drug discovery pipeline for CVD, integrating data mining, curation, and preprocessing for high-quality model training.
• Shortlisted 214 drugs from 1500+ using machine learning techniques.
• Enhanced predictive accuracy using ensemble methods, refining drug discovery insights.
• Implemented a CVD disease prediction model and content-based drug recommendation system integrating patient and drug data.

Projects

AI in Cardiovascular Drug Discovery & Patient Data Analysis

• Collected, integrated, Curated and pre-processed clinical datasets for cardiovascular disease analysis and conducted Exploratory data analysis.
• Implemented ML models for disease prediction, achieving 86% accuracy.
• Built a content-based drug recommendation system to assist in treatment decisions.

Faculty Demographics Analysis using SAS

• Leveraged SAS to analyze departmental faculty activities at NMAMIT.
• Conducted EDA and data visualization, compiling insights into a detailed report.

Certifications

• Data Science Bootcamp (Udemy)
• Data Analytics Essentials (IBM-Coursera)
• Good Clinical Practice Certificate (NIDA)
• Work Smarter with Excel (Coursera)

Academic & Extracurricular Achievements

• Certificate for Excellence in SAS Programming Minor Project
• National-Level Table Tennis Player (SGFI, VTU, Vidyabharathi)
• Member of IEI, ISTE, and NSS

Skills

Python, Scikit-learn, Machine Learning, Data Science, Bioinformatics, Data Visualization, Predictive Modeling, SAS, Scientific Research, Communication

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Cover Letter:

S. Yogashree
Mangalore

17 Feb, 2025
Hiring Manager
Bizamica
Pune
Subject: Application for AI/ML Analyst Position
Dear Hiring Manager,
I am excited to apply for the AI/ML Analyst position at Bizamica. With a background in Biotechnology, data science, machine learning, and bioinformatics, I am eager to contribute my analytical and problem-solving skills to your team. My experience in predictive modeling, data preprocessing, and AI-driven solutions aligns well with the responsibilities of this role.
During my time as a Bioinformatics Intern at BiotecNika, I designed a streamlined drug discovery pipeline, integrating data mining, curation, and preprocessing for model training. I also implemented a disease prediction model and a content-based drug recommendation system by leveraging existing machine learning models. These experiences have honed my ability to analyze complex datasets and develop AI-powered solutions for real-world problems.
My technical skills include Python, Scikit-learn, Pandas, NumPy, along with hands-on experience in ensemble learning and data visualization. I am also well-versed in leveraging AI frameworks to drive insights and decision-making.
I am particularly excited about the opportunity to collaborate with cross-functional teams at Bizamica and stay at the forefront of AI/ML advancements. I would like to learn and grow with your esteemed company.
I would welcome the opportunity to discuss my qualifications further. Thank you for your time and consideration. I look forward to hearing from you soon.
Sincerely,
S. Yogashree