Sri Deepthi Vootla

Hey, I'm Sri Deepthi Vootla

A Data Science graduate with expertise in data analysis, machine learning, and cloud computing. Passionate about transforming raw data into meaningful insights and building predictive models to drive data-driven decision-making.

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A B O U T ME

Learn more about my experience, skills, and expertise in data science and technology.

Get to Know Me!

I am a Data Science graduate with a strong background in Data Analysis, Machine Learning, Cloud Computing, and Data Engineering. With hands-on experience in analyzing large datasets, implementing predictive models, and developing data pipelines, I strive to extract meaningful insights and drive decision-making.

I have worked on real-world projects in finance, housing price prediction, and business intelligence, using Python, SQL, and Tableau. I also have experience working with AWS cloud services (EC2, S3, RDS) for real-time data processing.

I actively share my knowledge on LinkedIn, work on open-source projects, and keep learning to stay updated with industry trends. I'm currently looking for exciting job opportunities where I can apply my technical skills and business acumen to solve challenging data problems.

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My Skills

PythonSQLMachine LearningData AnalysisPredictive ModelingDeep LearningTableauPower BIData VisualizationAWS (EC2, S3, RDS)StatisticsData EngineeringETL PipelinesBusiness IntelligenceBig Data (Hadoop, Hive)Cloud ComputingGitHubReactJavaScript

E X P E R I E N C E

Clarkson University

Clarkson University

Graduate Research Analyst

Jan 2023 - Dec 2024

  • Implemented data preprocessing, feature selection, and cleaning processes to improve data quality and ensure reliable analytical results.
  • Led the development of machine learning models (Random Forest, Gradient Boosting) to analyze carbon emissions from factories, improving prediction accuracy by 25%.
  • Performed exploratory data analysis (EDA) on large datasets, extracting meaningful patterns for decision-making.
  • Collaborated with cross-functional teams to optimize machine learning models, reducing computational overhead by 30%.
  • Worked on data visualization dashboards using Python & Tableau to track environmental impact factors.
  • Presented research findings at academic conferences, showcasing the impact of data science on sustainability.
Infosys Ltd.

Infosys Ltd.

Senior Systems Engineer

Mar 2021 - Dec 2022

  • Conducted end-to-end data analysis on large datasets to identify key trends and provide actionable insights for operational performance enhancement.
  • Implemented data-driven forecasting models using Python and SQL, improving decision-making processes for internal teams by 15%.
  • Utilized AWS cloud tools (EC2, S3, RDS) to streamline data storage, processing, and reporting for real-time analytics.
  • Ensured data integrity by developing and implementing data validation protocols, improving the accuracy of analytics by 20%.
  • Developed ETL pipelines to process and transform structured/unstructured data efficiently.
  • Designed and optimized SQL queries & stored procedures to improve database performance.

P R O J E C T S

Housing Price Prediction

Housing Price Prediction

Applied advanced data mining techniques to predict housing prices by identifying significant predictors such as area, number of bedrooms, and location. Built a Multiple Linear Regression model, conducted data preprocessing, and created visualizations to analyze property features and housing prices.

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Data Science Job Salary Trends

Data Science Job Salary Trends

Developed interactive Tableau visualizations to analyze and present global trends in data science job salaries. Conducted a detailed analysis based on experience levels, job roles, and geographic regions, enabling a deeper understanding of hiring trends in the data science field.

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Game Sales Dashboard

Game Sales Dashboard

Conducted an in-depth analysis of video game sales data to uncover trends across regions, platforms, genres, and publishers. Designed and developed interactive Tableau dashboards to highlight key insights, showcasing sales patterns and regional preferences, facilitating data-driven decisions in the gaming industry.

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NYC Taxi Data Analysis

NYC Taxi Data Analysis

Performed an exploratory data analysis of NYC taxi trip data to identify patterns in trip durations, distances, and fares. Processed and cleaned large datasets using Python and Pandas and developed visualizations to effectively communicate insights about taxi usage and fare trends.

View on GitHub

CONTACT ME

Feel free to contact me using the form below.