I am a Consultant (Data Science) with nearly 4 years of experience in data science, machine learning, data analysis, data visualization, model deployment, and understanding of business, and customer pain points. Career summary- ★ Starting from a customer support role where I learned the ways of empathizing with customers and understanding their pain points so as to provide them with relevant solutions at the moment. ★ Moved into the technical role starting as a frontend developer where I developed skills in HTML/CSS/jQuery/Javascript and worked on a few UI MVPs. ★ Transitioned Into Data science/Analytics where I got a chance to procure business acumen, fostering customer-centric thinking, understanding business, and client requirements, and accordingly providing AI/ML solutions. ★ Worked on building AI solutions through various Machine Learning and Deep Learning tasks/algorithms such as Object Detection, Object Classification, Regression, Clustering, KNN, K-means, Ensembles, Random Forest, and Gradient Boost ★ Deployment experience in Amazon Web Services(AWS), Azure ML, GCP. ★ Creating an end-2-end ML Pipeline in AWS and Azure ML. ★ Experience in Flask API. ★ Worked on deep learning CNN-based MVPs related to diabetic retinopathy, and pose estimation. ★ Performed A/B testing to statistically evaluate the rule-based and ml-based recommender system performance. ★ Initiated ML-session-a-week series as a part of interns and self-upskilling program. Skills - ◆ Python, HTML/CSS/jQuery/Javascript, SQL, MySQL ◆ Azure ML, Docker, GCP, AWS ◆ Git, Bitbucket, Github ◆ Hotjar, google analytics ◆ Surveys, data gathering, web scraping, data wrangling, data visualization ◆ Beautiful Soup, selenium, NumPy, pandas, seaborn, matplotlib, nltk ◆ Tensorflow (Basic) ◆ Tableau/PowerBi ◆ Community building ◆ Product Management In this process, I always strived to learn and grow no matter what the situation is and will do my best to ask for guidance whenever and wherever needed in order to contribute to self-growth and achieving organizational goals. Building TheProductCradle Community! I aspire to work in a role that is at the intersection of business, customer, AI/ML, and product management.