Machine Learning Information Technology

CHAITANYA PATIL

Rochester, New York ******@*.***.*** 585-***-**** LinkedIn GitHub

SUMMARY

DataanalystwitharobustacademicbackgroundinInformationTechnologyandAnalyticsfromRIT.ProvenexpertiseinPython,R, and SQL for creating impactfuldatavisualizationsandpredictivemodels.Possessingastrongfoundationinstatisticalanalysisand machine learning,eager to tackle complex data challenges in a forward-thinking company that champions innovative analytical solutions.

EDUCATION

Rochester Institute Of Technology (CGPA 3.56/4) Aug 2023 - May 2025 Currently studying a master's program in Information Technology And Analytics Rochester, NY, USA Atharva College Of Engineering, Mumbai University (CGPA 8.12/10) Aug 2018 - July 2022 Achieved a Bachelor of Engineering in Information Technology Mumbai, India PROFESSIONAL EXPERIENCE

Full-Stack Web Developer Intern

Null Class, Mumbai Dec 2022 - Feb 2023

●EngineeredthreeinteractivewebapplicationsusingHTML,CSS,andJavaScript,enhancingnavigationfeaturesandboostinguser engagement metrics across the platform.

●Formulated strategic action plans to enhance team interactions,resulting in streamlined workflows that improved integration processes; documented critical insights that addressed the top three obstacles hindering productivity during development cycles. Data Science Intern

LetsGrowMore, Mumbai Sep 2021 - Oct 2021

●Collaborated in a cross-functional team of datascientistsandanalyststooptimizemachinelearningmodelsusingPythonandR, tripling prediction accuracy on large customer datasets.

●Conducted in-depth data analysis and predictive modeling to uncover trends and inform decision-making. Machine Learning Intern

Dev Incepts, Mumbai July 2021 - Aug 2021

●Developedcustommachinelearningapplicationsthatautomateddecision-makingandoptimizedoperationalprocesses,resultingin saving over 15 hours per week for the analytics team.

●Constructed sophisticated machine learning models that integrated logistic regression with ensemble classifiers,achieving a percentage increase in model performance metrics within a rapid two-week deployment timeframe. ACADEMIC PROJECTS AND PAPER

Heart Disease Prediction System Java, Python, HTML, JavaScript, CSS

●Led a teamtodevelopapredictivemodelusingLogisticRegressionwith85%accuracy,outperformingbaselinemodelsby15%. Designed a user-friendly website to display results dynamically.

●Applied data preprocessing and model optimization techniques to enhanceperformance.Authoredandpublishedapaperonthis project in the International Research Journal of Engineering and Technology (IRJET), Volume 9 Issue 4, April 2022. Telecom Churn Prediction Google Colab

●Developed a predictive model utilizing NLP techniques such as TF-IDF,word embeddings on unstructured customer reviews, boosting churn prediction accuracy by 12% over logistic regression models.

●Scraped and processed 50,000+customer reviews using BeautifulSoup and NLTK,employing datacleaningandtokenizationto extract actionable insights for model optimization.

●Designed predictive models employing Random Forest and Gradient Boosting algorithms,resulting in a 15%increaseinchurn forecast reliability; leveraged insights to address the top three identified causes of customer attrition. Enhancing Healthcare Efficiency in New York State through Advanced Visual Analytics Tableau & Power BI

●Analyzed100,000+healthcarerecordstoidentifyinefficiencies,creatingPowerBIdashboardsthatimprovedprocesstransparency and stakeholder decision-making.

●Recommended solutions that reduced operational costs by 12% after data preprocessing and validation with ETL tool. TECHNICAL SKILLS

●Programming Languages: Python, Java, C++

●Data Analysis Tools: SQL, Pandas, Tableau

●Machine Learning Techniques:Logistic Regression, Random Forest, Gradient Boosting

●Web Development Technologies:HTML, CSS, JavaScript, Django

●Cloud Platforms:AWS, Azure

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