Overview:
I am a seasoned Data Science and Machine Learning Expert with a robust background in leveraging data to drive strategic decisions and innovative solutions. With over 2 years of hands-on experience in data analysis, predictive modeling, and machine learning, I specialize in transforming complex data sets into actionable insights that propel business growth and efficiency. My expertise spans a variety of industries, including finance, healthcare, and technology, where I have successfully implemented data-driven strategies to solve real-world problems and optimize operations.
Key Skills:
Data Analysis & Visualization: Proficient in analyzing large datasets to uncover trends, patterns, and insights. Skilled in creating compelling visualizations using tools like Tableau, Power BI, and Matplotlib to communicate findings effectively.
Machine Learning: Extensive experience with supervised and unsupervised learning techniques, including regression, classification, clustering, and deep learning. Proficient in using algorithms such as Random Forest, SVM, and Neural Networks to build and deploy predictive models.
Programming Languages: Advanced proficiency in Python and R for data manipulation, analysis, and model building. Skilled in SQL for database querying and management, as well as knowledge of Java and Scala for big data processing.
Big Data Technologies: Expertise in handling and processing large-scale datasets using Hadoop, Spark, and other big data technologies. Familiar with cloud platforms like AWS, Azure, and Google Cloud for scalable data solutions.
Statistical Analysis: Strong foundation in statistical methods and hypothesis testing. Ability to apply statistical techniques to ensure the reliability and validity of data-driven conclusions.
Business Acumen: Proven ability to understand and align data science initiatives with business objectives. Experience in developing actionable recommendations and strategies that enhance decision-making and drive growth.
Project Experience:
I have experience in Python specifically data Science and worked on different projects like
* PetroGPT: Answer prompts related to petroleam industry as it was trained from scrapped data of various forums,articles ,blogs and research papers.
* Build Automated ML for any end user to do Data Analysis easily by just drag and drop files and answering some question.
* HSER Card for an Oil gaint Cairn Vedanta to predict the Hazards and upcoming event based on Data coming from 1 Lac+ oil extraction sites.
* Bifurcating incoming files for different sites into different categories and clean that data by removing noises to be used for further analysis.
* Used regular expression to find the occurance of particular keywords and line number in huge compilation of files using only the path of it .