Data Science Machine Learning

Sai Jahnavi Damacharla

Indianapolis, IN +1-317-***-**** ********@**.*** LinkedIn

EDUCATION

Indiana University, Indianapolis, IN Aug 2024 - Present Master of Science in Applied Data Science

Relevant Courses: Data Science Programming, Machine Learning, Computer Vision, Deep Learning, Database Design, Statistics with R. PROFESSIONAL EXPERIENCE

Graduate Assistant, Department of Computer Science, Luddy School of Informatics, IUI Jan 2025 - Present

• Collaborating with professors to deliver lectures, oversee labs, and facilitate discussions in computer science courses.

• Providing academic support, clarifying complex algorithmic analyses and computer networking concepts for students.

• Engaged in faculty-led research, data analysis, and technical documentation.

• Co-authored research publications, technical reports, and grant proposals, effectively communicating findings to faculty. Data Science and Analytics Intern, Innovate Intern, Chennai, India Feb 2024 - Apr 2024

• Spearheaded Harmonic Hearings, a data-driven project focused on sound classification using advanced ML techniques.

• Leveraged audio signal processing to extract key features like spectrograms and MFCCs for accurate classification.

• Explored innovative applications for hearing aids, environmental sound monitoring, and media analytics.

• Demonstrated proficiency in audio processing, machine learning, and model optimization through this project. Deep Learning Intern, Edunock Technologies, Hyderabad, India Apr 2023 - Aug 2023

• Built a movie recommendation system using collaborative filtering and content-based filtering techniques.

• Analyzed large dataset(Netflix Data) to identify user preferences and improve recommendation accuracy.

• Implemented matrix factorization (SVD) and k-NN algorithms for personalized recommendations.

• Optimized system through hyperparameter tuning, improving recommendation relevance. SKILLS

• Programming Languages: Python(Pandas, NumPy, ScikitLearn etc.), R, SQL

• Tools and IDE: PowerBI, Tableau, Jupyter Notebook, Google Colab, MSAccess, RStudio, VSCode, PyCharm

• Data Analysis: Data Cleaning and Preprocessing, EDA and Visualization, Statistical Modelling, Feature Engineering

• Machine Learning: Supervised, Unsupervised, Learning, Classification, PCA, SVM, Random Forest, k-NN, Regression

• Deep Learning: CNN, RNN, BERT, GAN, GPTs, LSTM models

• NLP & AI: Object Detection, Image Recognition and Captioning, Text Classification, Automation Techniques PROJECTS

New York City Transportation Data Science Project (TDSP by Columbia University support and guidance)

• Analyzed NYC transportation data to enhance road safety using time series and geospatial analysis.

• Cleaned and processed data with NumPy in Google Colab, developed Power BI dashboards.

• Applied Linear Regression and data visualization (Matplotlib) to uncover trends and biases.

• Presented actionable insights via a detailed Colab Notebook and poster presentation. Heart Disease Prediction System

• Developed a machine learning-based heart disease prediction system with 92% better accuracy using Logistic Regression.

• Enhanced model reliability by 20% through data preprocessing and handling of missing values.

• Improved prediction precision by 18% via feature engineering from clinical data (age, cholesterol, blood pressure).

• Reduced false positives by 25%, facilitating early disease detection and intervention. Estimation of product subscription based on Banks Campaign dataset

• Developed a predictive model for bank marketing campaign optimization, focusing on term deposit subscriptions.

• Implemented and compared logistic regression and decision tree models, improving overall accuracy from 75% to 85%.

• Fine-tuned the final model to achieve robust performance metrics: 0.78 precision, 0.8 recall, and 0.79 F1-score.

• Enabled more cost-effective marketing strategies by enhancing the bank's ability to identify likely term deposit subscribers. CERTIFICATIONS

• Google Cloud Certified as Associate Cloud Engineer [Certificate]

• Wipro Digital Skills Readiness Program Certificate in Full Stack Development [Certificate]

• Microsoft Certification for Introduction to Programming using Python (MTA:96/100) [Certificate] LEADERSHIP

Professional Development Lead, Data Science & ML Club, IUI Oct 2024 – Present

• Working as a career-leader from the club of Data Science and Machine Learning at IUI.

• Designed and facilitated a workshop to guide aspiring data scientists in building impactful portfolios. PUBLICATION

• Research Paper Publication in JETIR for research work on Soil-Moisture based Motor Pumping for Agriculture [LINK] 2022

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