
Amith Reddy Kasarla

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About me
Data Scientist | Machine Learning | GenAI
Education

Jawaharlal Nehru Technological University, Hyderabad
2015 - 2019Bachelor's degree Computer Science
University of North Texas
2022 - 2023Master's degree Data Science 3.9/4.0Data Science Data Mining Machine Learning Data AnalyticsData Modeling Predictive Analytics SASGCPAWS
Experience

Birlasoft
Jun 2018 - Dec 2021• Implemented automated data collection pipelines using tools like Apache Airflow and Python scripts, reducing manual effort by 30% and ensuring real-time data availability.• Applied data cleaning and pre-processing techniques to ensure data quality and consistency, reducing errors and enhancing the accuracy of subsequent analyses.• Developed and fine-tuned predictive models for credit risk, fraud detection, and market trends using machine learning algorithms, achieving a 20% improvement in model accuracy.• Employed statistical analysis and exploratory data analysis (EDA) to extract meaningful insights from vast datasets, facilitating informed decision-making.• Conducted thorough assessments of available data sources within the financial domain, including market data, transaction records, and economic indicators.• Developed churn prediction models for financial services, reducing customer attrition by 25% through targeted retention strategies.• Created interactive dashboards using tools Tableau to communicate complex financial insights, improving accessibility, and understanding for stakeholders.• Collaborated closely with engineering and product development teams to integrate data-driven solutions into existing systems, ensuring seamless implementation. Show less • Conducted sentiment analysis on social media data using Natural Language Processing (NLP), providing actionable insights for brand reputation management.• Participated in all phases of Data mining, Data-collection, Data-Cleaning, Developing, Validation, Visualization and Performed Gap Analysis.• Implemented Classification using supervised algorithms like Logistic Regression, Decision trees, KNN, and Naive Bayes and wrote DAX (Data Analysis Expressions) expressions to create customized calculations and hierarchies in Power BI Desktop.• Generated ad-hoc SQL queries using joins, database connections, and transformation rules to fetch data from legacy Oracle and SQL Server database systems• Implemented dimensionality reduction techniques like PCA, and LDA by applying feature selection and feature extraction.• Analyzed data using SQL, PySpark, and Python, and present analytical reports to management and technical teams.• Collaborated to gather data from various sources, data preparation, data visualization, and data Reporting to support analysis on large and complex data sets to identify trends, patterns, and Relationships. Show less
Data Scientist
Jul 2019 - Dec 2021Jr. Data scientist
Jun 2018 - Jul 2019

Optum
Aug 2022 - Mar 2024Data Scientist• Develop predictive models using machine learning algorithms, resulting in a 15% improvement in accuracy for patient outcome predictions.• Built models using Statistical techniques like Bayesian MM and Machine Learning classification models like XG Boost, SVM, and Random Forest using Python packages.• Explore and analyse customer-specific features by using Matplotlib, Seaborn in Python, and dashboards in Tableau.• Implement NLP techniques to extract valuable insights from unstructured healthcare data, improving information extraction accuracy by 20%.• Analyse Electronic Health Records data to identify patterns and trends, contributing to improvement in patient care recommendations.• Apply time series forecasting models for demand prediction of medical resources, achieving a 20% reduction in resource shortages.• Perform data analysis by using Hive to retrieve the data from Hadoop cluster, and SQL to retrieve data from RedShift.• Collaborate with data engineers and operation team to implement ETL process, wrote and optimized SQL queries to perform data extraction to fit the analytical requirements.• Develop needs-based segmentation that aided management in gaining a deeper understanding of consumer behaviour, these segments assisted management in the development and marketing of services.• Use Python-based data manipulation and visualization tools such as Pandas, Matplotlib, and Seaborn to clean corrupted data before generating business-requested reports. Show less

BAL
Mar 2024 - nowReporting Analyst III
Licenses & Certifications

Data Analysis with Python
Data Mastery AcademyDec 2023
Data Science Foundations: Data Engineering
LinkedInJun 2021
Machine Learning and AI Foundations
LinkedInMay 2021
Data visualization for Data Analysis and Analytics
LinkedInJun 2021- View certificate

Prompt Engineering: How to Talk to the AIs
LinkedInMay 2025
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