Narayana Swami Potla

Data Scientist

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in machine learning and data analytics.
Experience in enhancing operational efficiency in insurance.
Strong background in exploratory data analysis and predictive modeling.

Stackforce AI infers this person is a Data Analyst with expertise in machine learning and data-driven solutions.

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Skills

Core Skills

Machine LearningCredit Risk Management

Other Skills

Exploratory Data AnalysisMatplotlibSeabornCustomer AnalysisEnhancement PointsSuggestionsMaven AnalyticsManagementWeather ForecastingAWS CloudFormationJavaScript FrameworksLean LogisticsGeneral InsuranceCoursesVisual Studio

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Github

Weather Forecasting Data Analytics Project

Feb 2024 – Apr 2024 · 2 mos

I collected, cleaned, and preprocessed large meteorological datasets, conducted exploratory data analysis (EDA) to identify weather patterns, and built and fine-tuned machine learning models such as Linear Regression, Random Forest, and Neural Networks to predict temperature, precipitation, and humidity.
I evaluated model performance using metrics like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared, and visualized the results with Matplotlib and Seaborn.

Exploratory Data AnalysisMachine Learning

Sbi general insurance

usecase

Nov 2023 – Jan 2024 · 2 mos

I developed and implemented data-driven solutions at SBI to enhance operational efficiency and customer experience. This involved analyzing customer transaction data for personalized services, developing predictive models to assess credit risk, and using NLP to improve customer service chatbots. By collaborating with cross-functional teams, I integrated analytical solutions into existing systems, resulting in increased credit risk assessment accuracy, •

Credit Risk ManagementCustomer Analysis

Aicte and eduskills foundation for data analytics

Intern

May 2023 – Jul 2023 · 2 mos

Worked on a project that used regression analysis to examine student performance across several locations.
The study employed segmentation of the population to ascertain the primary determinants influencing achievement, identified crucial domains for enhancement, and formulated feasible suggestions.

Enhancement PointsSuggestions