Rohit Sumatinath Upadhye
• +91 8208316286 • rohitupadhye799@gmail.com • linkedin.com/in/rohit-upadhye •https://github.com/RohitUpadhye
SUMMARY
One year of internship experience in machine learning, statistical analysis, and data visualization. Proficient in Python, R,
AWS, and DevOps tools like Jenkins, Docker and Kubernetes. Delivered impactful projects, including a multimodal RAG
chatbot and a machine learning-based false alarm detection system. Recognized for problem-solving abilities and delivering
data-driven insights.
EDUCATION
Master of Science in Statistics 2022 - 2024
Tuljaram Chaturchand College, Baramati CGPA: 7.68/10
Bachelor of Science in Statistics 2019 - 2022
Smt. Kasturbai Walchand College, Sangli CGPA: 8.16/10
HSC 2018 - 2019
Sangli High-School Junior College, Sangli Percentage: 57.23 %
SSC 2016 - 2017
Sangli High-School Sangli Percentage : 77.40 %
TECHNICAL SKILL
• Language: Python , R
• Data Science: Machine Learning Algorithms, Deep Learning, NLP, Computer Vision, NumPy, Pandas, Matplotlib, Seaborn, Hadoop
Scikit-learn, TensorFlow, Gen AI,
• DevOps Tools: Git and GitHub, Docker, Kubernetes, Jenkins, Terraform, Prometheus and Grafana
• Web Frameworks: Flask, FastAPI
• Platforms: AWS
• Databases: MySQL, MongoDB, Vector databases
• Other : Networking
WORK EXPERIENCE
Intern at Eiminence Institute, Sangli (Jan 2024 - June 2024)
I gained hands-on experience with cloud platforms, DevOps tools like Jenkins, Terraform, Docker, Kubernetes and
networking concepts. I enhanced my skills in Python programming for data science and software development, worked with
machine learning algorithms to analyze data and create models, and acquired knowledge of database management, including
MySQL and NoSQL.
Project :
Title : Multimodal RAG Chatbot
Description :
• Developed a multi-PDF chatbot using advanced grounding techniques for enhanced contextual understanding.
• Integrated FAISS for efficient vector-based document retrieval.
• Utilized LangChain for seamless document parsing and query handling.
• Enhanced responses with external resources like Google Search and YouTube.
• Built a responsive Streamlit interface with multimodal input support.
• Delivered a robust and scalable chatbot solution.
Intern at Technogeeks Institute, Pune (July 2024 – December 2024)
During my internship, I enhanced skills in Python, Machine Learning, and Data Visualization, using libraries like NumPy,
pandas, Matplotlib, and scikit-learn. I gained experience in SQL for data management, built machine learning models, and
created dashboards to present insights, enhancing my technical expertise and practical understanding of data science.
Project :
Title : False alarm detection using machine learning technique.
Description :
• Processed sensor data and built a logistic regression model to predict alarms.
• Saved the trained model as a .pkl file for reuse and validation.
• Used Flask and Postman for API integration and testing.
• Deployed an interactive web interface with Streamlit for end-user access.
PROJECTS
Title : Analysis of Psychological Dimensions of Student Life Using Statistical Techniques
Description:
• Analyzed depression levels among college students in Science, Engineering, and Commerce
fields, identifying mild to moderate depression as most prevalent.
• Conducted statistical analysis to reveal gender associations with sleep disturbances and physical
exhaustion.
• Built machine learning models, with Gradient Boosting (98.43% accuracy) as the best performer.
• Identified key contributors to depression, including dejection and apathy, offering insights into
student mental health.
Title : Cloud infrastructure automation with Face detection
Description :
• Built a face detection model to automate AWS EC2 instance creation and EBS volume attachment using Terraform.
• Enhanced security with user recognition for automated access control to cloud infrastructure.
• Delivered a secure, scalable, and efficient solution for cloud infrastructure automation based on user identity.
CERTIFICATIONS
• Data Analytics Course in SQL and Power BI
• Data science with python
EXTRACURRICULAR ACTIVITIES
• Organized and coordinated a Quiz Competition on Statistics and games like Chess and Sudoku during the college
fest, demonstrating leadership, event management, teamwork, and problem-solving skills.
STRENGTHS
• Hardworking
• Problem-Solving Skills
• Leadership
