About

Jigyasu is an experienced Data Scientist with over 6 years of experience in the information technology and services industry. He has expertise in Python with packages such as Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn, SciPy, and NLTK. He has hands-on experience in supervised and unsupervised machine learning algorithms, including SVM, Random Forests, and Decision Tree. He is also an expert in Linear/Logistic Regression, Ridge, Lasso, K-Mean Algorithm, Principle Component Analysis, mathematical statistics, and hypothesis testing. Jigyasu is a keen planner and strategist with expertise in handling projects to improve efficiency and meet deadlines. He has the ability to work in a team or as an individual depending on the activity. He has worked with Visualization Tools like Tableau and PowerBI as well as Hadoop. He has experience in handling advanced Database query Language like SQL. He has also worked on Object Recognition -CNN. Currently, Jigyasu is working as a Lead Solution Advisor at Deloitte. In his previous role as a Senior Software Engineer at Infosys, he worked on complete agile methodology and got exposed to the complete application development cycle, starting from the creation of API, integrating with UI, production deployment, and support. As a Software Engineer at Talentbridge, he worked with business and product teams to identify high-impact data science problems and prepared reports with insights and presented them to clients. Jigyasu holds a Post Graduation Diploma in Data Science(PGDDS) from IIIT Bangalore and a Bachelor of Technology (B.Tech.) from UPTU. He is an effective communicator and a team player with strong analytical, logical, and problem-solving abilities. His tech stack includes Data Scientist, Research Scientist, ML, Software Engineer, SQL, SVM, Seaborn, CNN, Scikit, Python, Pandas, Hadoop, and UI.