PRAKASH E

Data Science professional with a solid foundation in Python, SQL, Pandas, Scikit-learn, and data visualization tools (Matplotlib, Seaborn, Tableau). Certified in Data Science by GUVI IITM, with hands-on experience in predictive modeling, statistical analysis, EDA, and machine learning workflows. Exposure to advanced domains including Deep Learning (TensorFlow/Keras), Natural Language Processing (NLP), and Computer Vision, applied through academic projects or self-study. Passionate about extracting actionable insights from complex datasets to drive data-informed business decisions in IT and tech environments. Skilled in translating business problems into analytical solutions, building end-to-end models, and presenting findings to stakeholders. Strong collaborator with excellent organizational and communication skills, eager to contribute as a fresher Data Scientist / Analyst and grow within a dynamic, innovation-driven team.

• Successfully completed GUVI Zen Class Data Science Program with hands-on projects.
• Gained expertise in Data Cleaning, EDA, Machine Learning, Deep Learning and Data Visualization.
• Earned certifications in Data Analysis, Python, SQL, and Machine Learning.

1. PhonePe Transaction Data Visualization

• Role: Data Analyst
• Description: Built an interactive dashboard using Python, PostgreSQL, and Streamlit to analyze PhonePe transaction trends across India. Visualized insights on transaction volumes, categories, and regional growth patterns.
• Skills/Tags: Python | SQL (PostgreSQL) | Data Visualization | Streamlit

2. Luxury House Price Prediction – Bangalore

• Role: Data Analyst
• Description: Performed EDA and data preparation on Bangalore housing datasets. Predicted house prices using machine learning models and presented trends with Power BI dashboards for better decision-making.
• Skills/Tags: EDA | Data Preparation | SQL | Power BI

3. Content Monetization Modeler

• Role: Data Scientist
• Description: Developed a machine learning model to optimize content monetization by analyzing user engagement and ad performance. Created Python-based visualizations for revenue forecasting and insights.
• Skills/Tags: Python | Machine Learning | Data Visualization

4. Capstone Project – Amazon Music Cluster

• Role: Machine Learning Developer
• Description: Built a music recommendation system using clustering techniques (K-Means, DBSCAN) on Amazon Music user data. Developed visualizations to understand user listening patterns and improve personalization.
• Skills/Tags: Python | Machine Learning | Data Visualization

5. Multiclass Fish Image Classification

• Role: Deep Learning Engineer
• Description: Implemented a CNN-based deep learning model to classify multiple fish species from images. Applied data augmentation, preprocessing, and fine-tuning techniques to achieve high accuracy.
• Skills/Tags: Deep Learning | Machine Learning

• Full Name: Prakash E
• Date of Birth: [10/08/2002]
• Gender: Male
• Languages Known: Tamil (Fluent), English (Intermediate)
• Location: Tamil Nadu, India
• Contact Email: [prakashkannane222@gmail.com]
• Phone Number: [9791979752]
• Driving License → Yes.

Certified Data Science Professional, GUVI IITM Research Park