As an experienced Data Science & Analytics Professional with over 10 years of diverse experience across the Airline, Telco, CPG, Retail and Loyalty domains in the US, Canada, and Australian markets, I have honed my skills in Predictive Analytics, Exploratory Data Analysis, Data Mining & Management, Statistical Modeling, and Dashboard Generation/Automation. Throughout my career, I have collaborated with Fortune 500 companies to tackle cross-functional business challenges by leveraging data and statistical techniques. My expertise lies in analyzing client data to generate insights and recommendations that enable better decision-making in merchandising, operations, promotions, and marketing. Currently, I work for the Ministry of Ontario as a Data Scientist in their Integrated Analytics Exploration Branch. My role is to enhance the ministry's evidence-informed decision-making by applying cutting-edge data science tools and methods to integrated human services data. Previously, I've worked as a Senior Data Scientist for one of the leading No Code AI Startups, one of Canada's largest Telco company and the largest Big Data Consulting firm in India. During my time, I've helped build excellent client engagements, handled over ~$10 mil accounts and optimized savings over $1.5 Mil for some of the companies. Additionally, I serve as a part-time Instructor and Mentor for various AI and Data Science Post Graduate Programs offered by MIT, UT Austin in collaboration with Great Learning. My strengths include problem-solving skills, conscientiousness, strong work ethic, curiosity, excellent communication, interpersonal abilities, and leadership skills. Technical Skills: - R, SAS, SQL, Advanced Excel, VBA, C and Java - Python (Pandas, Numpy, Scikit-Learn, SciPy, Seaborn, PyTorch) - Visualization - Tableau & Power BI - Machine Learning (Hypothesis Testing, Supervised, Unsupervised Learning) - Deep Learning (ANN, CNN, Transfer Learning, BERT) - NLP (NLTK, Spacy) - Big Data frameworks such as Apache Hadoop, Apache Spark (PySpark), Hive - Predictive Modelling, Statistical Modelling and Forecasting - Cloud technologies - GCP, AWS, Microsoft Azure - DataBricks, Git - JIRA, Agile, Scrum, Confluence In my free time I enjoy reading, working out, travelling, spending quality time at home and helping coach aspiring data scientists.