Hi, I'm Akanksha Waghamode

Data Scientist | Bioinformatics | Machine Learning

Passionate about leveraging data science and machine learning to solve complex biological problems and drive innovation in healthcare.

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About Me

I'm a passionate Data Scientist and Bioinformatician with a Master's degree in Bioinformatics from Rajiv Gandhi Institute of IT and Biotechnology, Pune. I specialize in applying machine learning and computational techniques to solve complex biological and healthcare challenges.

My expertise lies in the intersection of data science, machine learning, and bioinformatics. I have hands-on experience in RNA-sequencing analysis, genome-wide variation analysis, and computer-aided drug design (CADD). I'm proficient in Python, R, and SQL, with a strong foundation in statistical analysis and predictive modeling.

I'm constantly learning and staying updated with the latest technologies and methodologies in data science and bioinformatics. When I'm not analyzing data or building models, I enjoy contributing to open-source projects and exploring new machine learning techniques.

5

Projects Completed

3

Internships

5

Certifications

Skills & Expertise

Programming Languages

Python R SQL

Data Science & ML

Machine Learning Data Analysis Statistical Analysis Feature Engineering Predictive Modeling

Bioinformatics

RNA-seq Analysis Genome Analysis CADD Molecular Docking QSAR Modeling

Visualization Tools

PowerBI Tableau Matplotlib Seaborn

Featured Projects

Dual-Inhibitor Discovery for Diabetes

Applied ML-based QSAR modeling and molecular docking to discover novel dual-inhibitors against SGLT1 and SGLT2 for Type 2 Diabetes treatment.

Python Machine Learning Molecular Docking QSAR

View Project Details

Applied Machine Learning-based QSAR modeling and molecular docking techniques to discover novel dual-inhibitors against Sodium-Glucose Co-Transporters (SGLT1 and SGLT2) for Diabetes Mellitus Type 2, integrating descriptor analysis, activity prediction, and virtual screening using Python and Machine Learning technologies.

House Price Prediction Model

Built end-to-end ML pipeline to predict house prices using Ames Housing dataset with 2,932 records and 82 features. XGBoost achieved optimal performance.

Python XGBoost Random Forest Feature Engineering

GitHub

Breast Cancer Classification

Developed ML pipeline for breast cancer classification achieving 95% ROC-AUC using SMOTE and ADASYN techniques.

Python Logistic Regression SMOTE Visualization

GitHub

Synthetic Data Augmentation

Benchmarked 5 data augmentation techniques on imbalanced datasets. Achieved ROC-AUC scores of 0.95+ using Random Forest classifiers.

Python SMOTE ADASYN PCA

GitHub

Automated News Aggregator

Designed Python script that scrapes top headlines from BBC and NDTV using BeautifulSoup, compiles into HTML digest, and sends automated emails.

Python BeautifulSoup Web Scraping Automation

GitHub

Experience & Education

Data Science Intern

Labmentix Pvt. Ltd

Oct 2025 - Nov 2025

Completed 1-month internship working on multiple data science projects. Applied Python, machine learning algorithms, EDA, statistical analysis, and data visualization techniques.

Project Intern

MultiTargetAI

Jan 2025 - May 2025

Applied ML-based QSAR modeling and molecular docking for novel dual-inhibitor discovery against SGLT1 and SGLT2 for Diabetes Mellitus Type 2.

AI Intern

LearnToUpgrade

May 2024 - Jun 2024

Developed ML models for cancer and BMI prediction. Built interactive dashboards using Tableau and Streamlit for data visualization.

Master of Science in Bioinformatics

Rajiv Gandhi Institute of IT and Biotechnology, Pune

2023 - 2025

Bachelor of Science in Biotechnology

MES Abasaheb Garware College of Science and Arts, Pune

2019 - 2022

Get In Touch

Let's Connect!

I'm always open to discussing new projects, collaborations, or opportunities in data science and bioinformatics.

akankshawaghamode2001@gmail.com

+91-8080640427

Pune, Maharashtra, India