CHINTHOTI PRAVEEN
Mobile: +91 9392082655 | Email: praveenchinthoti@gmail.com | LinkedIn : www.linkedin.com/in/praveen-chinthoti
SUMMARY
Highly motivated and customer oriented operations intern with a passion for streamlining processes and enhancing
efficiency. Proven ability to manage multiple tasks simultaneously, prioritize effectively, and work collaboratively to
achieve organizational goals. Expertise in purchase requisition management, product operations, and project coordination.
Eager to leverage skills and experience to contribute to the success of a forward thinking organization.
PROJECTS
Developing Machine Learning Models for Maternal Mortality Risk Prediction
Domain: Healthcare Data Science | Programming Language: Python
o Developed a machine learning-based predictive model to assess maternal health risks, improving
healthcare intervention strategies.
o Engineered and tested algorithms (Decision Tree, Random Forest, XGBoost, CNN), achieving an
86.69% accuracy rate with XGBoost.
o Utilized SHAP and Partial Dependence Plots in Python for interpretability, identifying critical health
indicators like blood pressure and glucose levels.
o Evaluated models with accuracy, precision, recall, and F1 scores, recommending XGBoost and Random
Forest for deployment.
o Analyzed data trends from a healthcare dataset (500+ records), informing actionable maternal health
policies.
Heart Failure Patient Outcomes Using Machine Learning Algorithms
Domain: Clinical Data Analysis | Programming Language: R
o Designed and evaluated multiple machine learning models (Linear Regression, Decision Trees, Random
Forest, SVM) to predict outcomes in heart failure patients.
o Preprocessed data and applied feature scaling, ensuring readiness for advanced analysis
o Visualized model performance using ggplot() to generate ROC and accuracy plots, improving model
interpretability.
o Achieved 80% prediction accuracy, optimizing models for reliability in healthcare applications.
EDUCATION
LOVELY PROFESSIONAL UNIVERSITY. PHAGWARA, PUNJAB
● B Tech Computer Science and Engineering. 2020-2024
o Specialization in Data Science
o Minor in International Business & Digital Marketing
o Graduated with distinction, earning a 6.80 TGPA.
SRI AKSHARA JUNIOR COLLEGE NANDIGAMA, ANDHRA PRADESH
● High School Diploma | MPC 2018-2020
o Graduated with distinction, earning a 9.3 CGPA.
SKILLS
• Technical: Python, R, SQL, Machine Learning, Neural Network, Big Data (Hbase, Hadoop, Hive, Kafka, Scala, Spark)
• Tools: Tableau, MS Excel, Salesforce
• Professional skills: Data Analysis, Leadership, Flexibility & Adaptability,Strong Presentation
Skills, Organizational Skills, and Customer Service
• Languages: English, Hindi, Telugu
CERTIFICATIONS
• Microsoft Excel from Coursera
• Python from Ebox
• Microsoft PowerPoint from Alison
• Data visualization with tableau from Coursera
• Create Charts and Dashboards Using Microsoft Excel by Coursera
ACHIEVEMENTS AND INTEREST
• Secured 2nd place in 'Apt Mania,' a zone-level problem-solving competition, among 500+ participants.
• Interests: Numismatics, Trading in Stock Market.
