About

Mukul Sharma is a dynamic and creative professional with almost 5.5 years of experience in data science and software development. He is an expert in creating predictive and classification models, designing analytical dashboards, time-series forecasting, and analyzing data to deliver insights and implement action-oriented solutions to solve complex business problems. He is skilled in data structures and algorithms, machine learning, deep learning, NLP, statistical analysis, working with cloud-based environments, and software development life-cycle. Mukul has expertise in manipulating and analyzing complex, high-volume, high-dimensionality data from varying data sources. He has worked with tools and libraries such as Scikit Learn, Numpy, Pandas, Matplotlib, Seaborn, SciPy, BeautifulSoup, Plotly, Dash, Arima, Statsmodels, Gensim, NLTK, and Keras. He is also skilled at team management and a deadline-driven environment to steer timely project completion. Mukul has worked with Zeta as a Data Scientist 2, where he is currently working with the Orcus team to design and create FRM solutions using AI/ML/NLP. He is responsible for link prediction between payer and merchant using transactional graphs and feature vectors, and transactions classification using statistical methods. Previously, Mukul has worked with Ola as a Data Scientist, where he collaborated with the product team for business requirements, analyzed the data to understand user patterns, and defined an approach to identify target customers. He has also worked with Accolite as a Senior Data Scientist, where he worked with BFSI and Healthcare domain and designed and developed a Python Data analytics interactive Dashboard to enhance visibility and Productivity. Mukul holds a Master of Technology (M.Tech.) focused on Computer Science and Information security from the National Institute of Technology(NIT), Calicut. He also holds a Global Certificate in Data Science & AI from INSAID. Mukul's technical skills include Data Scientist, Research Scientist, ML, NLP, Deep Learning, SQL, Software Engineer, Keras, Seaborn, C, AWS, Scikit, AI, Pandas, Python, Neural Networks, and NoSQL.