Designing, implementing and deploying AI applications for a broad spectrum of business oriented challenges using agile software methodologies. Languages: Python, Java, R, C, SQL Platforms : Domino Data Labs, AWS, Cloudera Visualization tools: TableauETL tools: Alteryx, KNIME, SASAI/ML skills: Supervised and unsupervised ML modeling, Deep Learning, NLP, ML-Business Rule Hybrids Other DS Skills: Forecasting, Simulation, End-to-End Full Stack DevelopmentOther… Show more Designing, implementing and deploying AI applications for a broad spectrum of business oriented challenges using agile software methodologies. Languages: Python, Java, R, C, SQL Platforms : Domino Data Labs, AWS, Cloudera Visualization tools: TableauETL tools: Alteryx, KNIME, SASAI/ML skills: Supervised and unsupervised ML modeling, Deep Learning, NLP, ML-Business Rule Hybrids Other DS Skills: Forecasting, Simulation, End-to-End Full Stack DevelopmentOther skills: Project Management/Engineering, Change Management, Design Thinking (UI/UX) Show less

- Performed database queries using SQL – manipulated, sorted, filtered and joined data tables for downstream workflow in Python.- Gained expertise in data wrangling-focused Python packages such as Pandas and NumPy.- Excelled in data storytelling and visualization using Python’s Seaborn, Bokeh, and Matplotlib libraries.- Executed inferential statistical analysis and hypothesis testing using SciPy statistical methods, A/B testing and bootstrapping.-Specialized in supervised and… Show more - Performed database queries using SQL – manipulated, sorted, filtered and joined data tables for downstream workflow in Python.- Gained expertise in data wrangling-focused Python packages such as Pandas and NumPy.- Excelled in data storytelling and visualization using Python’s Seaborn, Bokeh, and Matplotlib libraries.- Executed inferential statistical analysis and hypothesis testing using SciPy statistical methods, A/B testing and bootstrapping.-Specialized in supervised and unsupervised machine learning algorithms: ---Regression (linear and logistic) ---Classification (eg. SVM, k-NN, Random Forest, XGBoost, AdaBoost ...) ---Hierarchical and non-heirarchical clustering. Show less

Engineered and designed cancer-trageting antibodies using yeast display technologiesDesigned, lead and troubleshooted projects aimed at target prediction using machine learning techniquesMined ideas and solved complex research-oriented challenges as part of a diverse, multidisciplinary team.Regularly presented concepts, updates and results to senior and executive staff.

A T-cell hybridoma-based chemotherapeutic drug delivery platform was created by exploring R and its application to experimental statistical analysis and survival/reliability analysis.Materials characterization of nanoparticles and particulate structures was performed using electron microscopy.Nanoparticles containing anticancer small molecule inhibitors were produced and evaluated for therapeutic efficacy.Performed the isolation, differentiation and characterization of immune cells and… Show more A T-cell hybridoma-based chemotherapeutic drug delivery platform was created by exploring R and its application to experimental statistical analysis and survival/reliability analysis.Materials characterization of nanoparticles and particulate structures was performed using electron microscopy.Nanoparticles containing anticancer small molecule inhibitors were produced and evaluated for therapeutic efficacy.Performed the isolation, differentiation and characterization of immune cells and the Performed isolation, differentiation and characterization of immune cells and engineered them to mimic the tumor microenvironment as specialized cells. Show less