About

A Machine learning, Deep learning, and Data science professional. A Startup guy (2016-17)- I completed a bachelor's of electrical engineering in 2016. Then my career took a different turn and I got myself into a startup with 2 of my friends. We ran the startup successfully for 18 months. It was 2016-17, RERA arose, so the real estate market was a little unstable. And we started facing cash flow issues from the client end. Eventually, we had to shut down our business. In 18 months I read 10s of books, learned to work hard, and solve problems strategically. A business analyst (2017-19)- Later got a chance to join an IT firm at Pune in a Business Analyst position. Completed numerous projects related to Data collection, Excel, Analytics, Python. Implemented ML models as black-box using scikit-learn. Crunched large datasets, unorganized datasets and converted them into structured data using python, NumPy, pandas, matplotlib. Continued working there for 2 years. A Disciple of Artificial Intelligence (2019-20)- till here I got a pretty decent hands-on exposure to Machine learning, Deep learning, Neural networks. Then I decide to dive deep into the subject and I took full-time 12 months of mathematically rigorous machine learning and data science course i.e., "Applied Machine Learning Course" by ApppliedRoots. Modules of Course - Python programming language, Natural language processing (NLP), Computer vision (CV) and Image processing, Machine learning algorithms, Deep learning algorithms and Neural networks, Data analysis, Deployment of models, Statistics, SQL and databases, Recommendation engine and clustering, Underlying mathematics of all the mentioned techniques, etc. Along with these modules I completed 30+ industrial projects and assignments related to Data analysis, Machine learning, Deep learning, Natural language processing and computer vision. A professional data analyst - I got an opportunity to work with the manufacturing company at Nashik, I solved business problems using data science and machine learning techniques and accomplished multiple projects. KPIs by a significant percentage. A professional data scientist (2021-22)- Now, having a deep understanding of Machine learning and Deep learning models along with hands-on experience on numerous industry projects I developed a strong problem-solving ability. Received plenty of appreciation from peers and managers for the python code and system design I deployed. I continue working as a data scientist till the present.