I am a self-motivated lifelong learner and business-minded data scientist with a passion for delivering valuable insights through data mining, data analysis and predictive modeling methods. I hold a Master of Science degree in Operations and Defense Analysis and have 5+ years of experience as a data scientist, AI and Generative AI Specialist along with 10+ years hands-on experience in operation research, statistical analysis, anomaly detection, business development, and diverse set of AI applications. Experienced in conducting end-to-end Supervised, Unsupervised machine learning pipelines, with focus on data wrangling, feature engineering, model training, optimization, and creating data driven
visualizations. Professional analytical skills, problem solving and communication skills in both independent research and teamwork (in Agile Methodologies (Scrum, Kanban environment). Team player with an ability to address multiple priorities in an extremely fast-paced environment to deliver valuable insights about markets to help a company take better economic
decisions.
♦ TECHNICAL SKILLS
➢ Programming : Python, SQL, MySQL, PostGreSQL
➢ Tools : Numpy, Pandas, Sklearn, Seaborn, Matplotlib, Tensorflow, Keras, NLP, NLTK, ANN, CNN, LSTM, Pytorch, OpenCV, Flask, Heroku, Streamlit, Tableu, Excel, HTML, CSS, Docker, PySpark
➢ Cloud Solutions: AWS, Azure, IBM Watson
➢ Techniques: Machine learning, Regression, Classification, Clustering Algorithms, Linear/Logistic/(Negative)Binomial regression, A/B Testing, Regularization, PCA, Decision Trees, Naïve Bayes, Random Forest, DBSCAN, K-means, Deep Learning, Neural Networks , ANN, CNN, RNN, Time Series, LSTM
♦ Experienced in:
– Machine Learning
– Deep Learning
– Data Analytics
– Data Visualization
– Natural Language Processing
– Geo-Spatial Analysis
– Database Systems
– Generative AI Applications