Esha Paruchuri

A highly motivated professional with a Bachelor's in Computer Science (AI & ML) and currently pursuing an MSc in Technology and Design (Data Science) at SUTD. Experienced in data analysis, statistical modeling, and machine learning, proficient in Python, R, and advanced analytical tools. Focused on using data-driven insights to drive innovation and business value.

Health Sure Mobile Application [Jun 2022] 

Tech Stack used: SQL, JavaScript and React Native Framework. 

Outcomes: 1) Proficiently integrated SQL for efficient data management within a mobile application. 

 2) Gained expertise in using JavaScript for dynamic functionality and real-time updates. 

 3) Developed a user-friendly interface and improved user experience through React Native, enhancing cross-platform accessibility. 

Text Classifier for Sentiment Analysis [March 2023] 

Tech Stack used: Natural Language Processing and Data Analytics 

Outcomes: 1) Developed proficiency in Natural Language Processing (NLP) techniques for text analysis and  sentiment classification. 

2) Gained hands-on experience in data analytics and feature engineering to enhance the  accuracy of sentiment predictions.  

3) Applied machine learning algorithms to analyse and make data-driven decisions based on  sentiment insights.

Movie Data Analysis [Jun 2023]  

Tech Stack used: Machine Learning Methods and Cross Validation 

Outcomes: 1) Utilized cross-validation techniques to enhance model robustness and prevent overfitting,  demonstrating proficiency in model validation strategies.  

2) Transformed complex movie datasets into actionable insights, highlighting the ability to  make informed decisions through data analysis.  

3) Leveraged various machine learning methods to analyse movie data, gaining hands-on  experience in algorithm selection and model evaluation. 

Camera Surveillance System [Sep 2023] 

Tech Stack used: Python, OpenCV, ffmpeg, Computer Vision, Frame Differencing, Background Subtraction  Web Dashboard Development Outcomes: 1) Implemented real-time movement detection using Python, OpenCV, and ffmpeg.  

2) Utilized frame differencing and background subtraction for precise intruder identification,  incorporating an alarm system for immediate supervisor notifications with metadata.  

3) Developed a web dashboard for video storage and review, ensuring system functionality in  diverse conditions through frequent testing, including simulated intruder attacks for  performance evaluation. 

Rainfall Prediction Model Development for The Daily Buzz [Jan 2024] 

Tech Stack: Python for data preprocessing, model development, and evaluation, Jupyter Notebook for  coding and documentation.  

Outcomes: 1) Necessary libraries such as pandas, numpy, scikit-learn for data manipulation,  visualization, and machine learning model implementation are used.  

2) Developed a rainfall prediction model for Sydney, employing data preprocessing  techniques such as handling missing values, feature encoding, and normalization.  

3) Explored and compared classification models (Decision Trees, Random Forest,  Gradient Boosting) for model development.  

4) Proficient in Python for data analysis and machine learning, experienced in data  preprocessing techniques, and knowledgeable in various classification models.

• AWS Certified Cloud Practitioner, Amazon Web Services Training and Certification, 09/01/22
• Python For Data Science, Lernx, 12/01/22
• Data Analytics Using POWER BI Workshop, 03/01/23
• Google Data Analytics Foundations: Data, Data, Everywhere, Coursera, 11/01/23
• Azure-900 Fundamentals Certification, 11/01/23
• Certified in Excel, SQL, Tableau, Machine Learning, and Data Science, Internshala, 12/01/23, 12/01/24, 01/01/24, 01/01/24, 02/01/24
• Introduction to Software Engineering, Coursera, 05/01/24
• Introduction to Generative AI, Coursera, 07/01/24

Languages: English, Telugu, Tamil.

GitHub Repository: eshaparuchuri/Esha-Paruchuri