Data Scientist, MS (DAE), BE
Hi, I am SATHVIK RAMAPPA
My Resume!!!Who Am I ...?
I'm Sathvik Ramappa, a Data Analytics Engineering graduate student at Northeastern University with a strong foundation in Mechanical Engineering. My academic journey, coupled with hands-on experience in data analysis, web analytics, and customer experience management, has honed my skills. I enjoy water-color painting, which allows me to express my creativity, and I'm an avid anime watcher and manga reader. My love for storytelling extends to reading fiction books, and I have a passion for travel and exploring new places. In my downtime, I indulge in online gaming, with Valorant being my favorite game.
Proficient in ...
I have a strong background in Python, SQL, and ETL, with hands-on experience in MySQL, NoSQL, and MongoDB for data management and processing. I have worked with Google Analytics 4 (GA4), Google Tag Management (GTM), and Adobe Analytics to track and analyze user behavior. My experience also includes data visualization using Power BI and Tableau, enabling insightful reporting and decision-making. Additionally, I have worked with cloud platforms such as AWS and Microsoft Azure, along with Snowflake for data warehousing and Neo4j for graph database management, building scalable and efficient data solutions.
Projects that I've worked on ...
Here are some selected projects that showcase my skills in data analytics, visualization, and web development.
TagRL
This project implements multi-agent Q-learning for a competitive 2D tag game. Two AI agents learn optimal strategies in a pursuit-evasion scenario. The study explores MARL challenges, agent adaptability, and performance optimization, with potential extensions to 3D environments.
Urban Energy Grid Database System
Developed urban energy grid database at Northeastern, managing 10,000+ data points with MySQL and MongoDB. Created efficient structures and user-friendly website using Flask/Django for customer insights and admin monitoring. Utilized advanced querying for real-time analysis.
Age and Gender Detection
Developed a Python-based gender and age detection system using deep learning. It analyzes facial images or webcam feeds, classifying gender and predicting age ranges. The project utilizes pre-trained models, OpenCV, and TensorFlow/Caffe, demonstrating practical computer vision applications.
Customer Segmentation
Developed a customer segmentation project based on RFM analysis using Python. Implemented data preparation, RFM calculations, and K-means clustering. Created additional metrics, generated marketing recommendations, and visualized customer behavior patterns. Utilized pandas and scikit-learn for data manipulation and machine learning.
My Work Experience
At Merkle DGS, I worked as a Data Analyst, focusing on digital web analytics and customer experience management. I implemented Google Tag Manager, conducted web traffic analysis using Google Analytics 4, and extracted actionable insights to improve click-through and conversion rates. I also enhanced customer experience by optimizing chatbot communication and leveraging data-driven improvements to boost customer satisfaction and retention.
During my internship at OpenData Solutions, I performed comprehensive time series analysis on large datasets using Python libraries. I utilized Microsoft Azure Cloud Analytics for complex calculations and modeling tasks, optimizing processing of real-time sensor data. I also collaborated with cross-functional teams to develop advanced forecasting models and decision support systems, integrating IoT sensor data for real-time analysis and predictive maintenance.
At Heidelberg ProMinent Fluid Controls India Pvt. Ltd., I interned in warehouse and inventory management. I conducted a thorough analysis of existing practices, identifying key areas for improvement and optimization. My work contributed to increased productivity and streamlined inventory turnover processes across the facility, demonstrating my ability to apply data-driven methodologies to enhance operational efficiency.
Certifications that I've obtained ...
Here are few of the certifications that I have obtained
MongoDB Python Developer
Gained hands-on experience in data science and machine learning, covering methodology, tools, Python, SQL, data visualization, and analysis. Completed cloud-based labs, assignments, and a capstone project to apply their skills.
IBM Data Science Professional Certificate
Gained hands-on experience in data science and machine learning, covering methodology, tools, Python, SQL, data visualization, and analysis. Completed cloud-based labs, assignments, and a capstone project to apply their skills.
Deep Learning Specialization
Gained expertise in deep learning, building CNNs, RNNs, LSTMs, and Transformers. Learned optimization techniques, industry applications with Python and TensorFlow, and tackled real-world cases like NLP, speech recognition, and chatbots.
Machine Learning Specialization
Gained expertise in modern machine learning, covering supervised, unsupervised, and reinforcement learning, recommender systems, and best practices. Developed practical skills to apply ML techniques to real-world problems.
Miscellaneous ...
In addition to technology, I enjoy watercolor painting. I love reading science fiction and mystery novels for exciting adventures and exploring storytelling through mangas. I’m also a fan of anime and appreciate its diverse narratives and styles. Gaming is another interest of mine, especially like Valorant and Assassin's Creed Valhalla.
Reach out to me ...
Here's how you can connect with me!!!