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Data Science with less than a year in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A fresher with a Master's degree in Bioinformatics and certified training in Data Science. Proficient in Python, SQL, and machine learning algorithms, with hands-on experience in building predictive models using XGBoost. Skilled in data preprocessing, exploratory data analysis, and basic data visualization using Power BI. Passionate about leveraging data-driven insights to solve real-world problems and seeking an entry-level role in Data Science or Machine Learning.
JSS academy of higher education & research
Master of Science · Bioinformatics
November 1, 2021 – November 30, 2023
Kittel Science College
Bachelor of Science
June 1, 2017 – August 31, 2020
Nexenstial LLP
Business development executive
October 1, 2024 – May 31, 2025
Hubli, Karnataka, India
Hospital Readmission Prediction System
February 1, 2025 – July 31, 2025
Internship project focused on predicting hospital readmissions • Built a complete ML pipeline using patient data to predict hospital readmissions within 30 days • Technologies used: Python, Pandas, Scikit-learn, Streamlit, Matplotlib, Seaborn, Joblib, XGBoost
In silico Approaches in Discovering New Inhibitors for Mtb FadD32
March 1, 2023 – July 31, 2023
Dissertation project focusing on drug discovery • Conducted in silico approaches to discover new inhibitors • Tools and techniques utilized: Linux, Python, Auto docking, Discovery studio visualizer, Argus lab
Cultural Fit Analysis
The candidate's academic background in Bioinformatics and projects in healthcare and drug discovery indicate a strong interest in applying data science to life sciences, which could be a good fit for organizations in this domain. The business development role, while not directly technical, suggests an ability to interact with diverse teams and understand business needs. However, the overall experience level is entry-level, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate highlights adaptability, teamwork, and communication skills as strengths. The business development experience, although not technical, suggests client interaction and coordination abilities, which are valuable in a data science role requiring stakeholder communication. However, the lack of professional data science experience means operational fit in a fast-paced, production-oriented data science environment is unproven.