Data scientist having 1.6 years of experience, Skilled in Data Extraction, Data cleaning, Data exploration, Data visualization, Statistical modeling of Structured and Unstructured datasets. Possess deep understanding Algorithms, Analytics, Statistics, Exploratory Data Analysis (EDA), Webscraping, Python and SQL. Can write robust code in Python and able to implement large scale Machine Learning & Deep Learning models to deliver resourceful solutions solving real world business problem.
Key Deliverables:
• Performed preprocessing of structured and unstructured data for making the data useful for creating Machine Learning models
• Explored large amounts of information to discover trends and patterns
• Visualizing data for deeper insights
• Identifying differences in data distribution that could affect model performance in real world situations
• Verifying data quality and ensuring it via data cleaning
• Research and implement appropriate ML algorithms and tools to address business problems
• Developed Statistical, Machine Learning, Deep Learning models
• Developed various regression and classification algorithms by using Scikitlearn libraries such as Linear regression, Decision Tree, Naive Bayes, etc.
• Modify and combine different models through ensemble modeling
• Perform statistical analysis and fine-tuning using test results.