Raja Manasa Yerramreddy

A diligent and motivated enthusiast with over 2+ years of practical experience, currently pursuing a Diploma in Data Science from IIT Madras. Possesses a solid foundation in data science concepts, methodologies, and tools, honed through academic coursework and hands-on projects. Adept at working independently and collaboratively in team settings, with excellent communication skills to articulate technical concepts effectively. Familiar with digital analytics tools and platforms. Excited to apply skills in statistical analysis, data visualization, and project management to drive meaningful insights.

Data Analysis and Visualization: Proficient in using Python (with libraries such as Pandas, NumPy, and Matplotlib) and SQL to clean, analyze, and visualize data. Experienced in creating dashboards and reports using tools like Tableau and Power BI to communicate insights to stakeholders effectively.

Machine Learning: Hands-on experience in building, evaluating, and deploying machine learning models. Familiar with both supervised and unsupervised learning techniques, including regression, classification, clustering, and recommendation systems. Skilled in using libraries such as Scikit-learn, TensorFlow, and Keras.

Statistical Analysis: Strong background in statistical methods and hypothesis testing. Capable of designing experiments, performing A/B testing, and conducting exploratory data analysis (EDA) to uncover patterns and insights.

Data Engineering: Experience in data wrangling, ETL processes, and working with large datasets. Knowledgeable in using tools like Apache Spark and Hadoop for big data processing and data pipeline management.

Problem Solving and Project Management: Demonstrated ability to tackle complex problems and deliver data-driven solutions. Experienced in managing projects from conception to deployment, including requirement gathering, stakeholder communication, and iterative development.

Collaboration and Communication: Excellent teamwork and communication skills, with a proven track record of working effectively in cross-functional teams. Able to translate technical findings into actionable business insights and present them to non-technical audiences.

Through these experiences, I have honed my ability to leverage data to drive decision-making and solve real-world problems, making meaningful contributions to the organizations I've worked with.

As a student pursuing a Diploma in Data Science from IIT Madras, I have received a comprehensive education covering core areas such as statistics, mathematics, and computer science. The curriculum emphasizes practical skills in data manipulation, analysis, and visualization using tools like Python, R, and SQL. I have gained hands-on experience with machine learning algorithms and frameworks such as Scikit-learn and TensorFlow, along with exposure to big data technologies like Apache Spark and Hadoop. My training also includes statistical methods, hypothesis testing, and data visualization techniques. Engaging in various projects has provided me with practical experience in applying data science techniques to real-world problems, reinforcing my theoretical knowledge and technical skills.