Data science is my passion and I believe it has the power to spark and drive change. I have a master's degree in data science from Indiana University Bloomington, where I honed my skills in machine learning, data mining, and statistics. I also have a bachelor's degree in computer science engineering, where I learned to code in Python, R, C++, and SQL. I have applied my data science skills in various domains and projects, such as building an attribution model for Amazon, helping Paytm Mall make data-driven decisions, and conducting research at the University of Cambridge. I have experience in data preprocessing, regression modeling, random forest, kNN classifier, k-means clustering, feature extraction, and XGBoost. I am proficient in using tools like Tableau, PyCharm, Git, Jira, and Docker. I am currently working as an associate biostatistician at St. Jude Children's Research Hospital, where I use data mining techniques to analyze and interpret clinical data. ✅ Programming: SQL, R, Python (Numpy, Pandas, Keras, SKLearn, Matplotlib), Advanced Excel (Pivot Tables, StatTools). ✅ Misc Tools: PyCharm, Git, Jira, Docker, Tableau ✅ Statistics: Inferential Statistics, Hypothesis Testing (A/B Testing), Regression Analysis. ✅ Machine Learning: Data Preprocessing, Regression Modeling, Random Forest, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis), XGBoost I am actively looking for full time opportunities pertaining to fields: Data Science, Data Analytics, Machine Learning, Program Management, wherein I will be able to demonstrate my capabilities (technical skills and soft skills) and expand my knowledge spectrum. In my spare time, you will either find me playing chess, watching any sport or traveling somewhere. You can reach out to me at malpaninikunj78@gmail.com