Kavya Govindaraju

Reporting Engineer @ Futurety

About

👩🏻‍🎓Kavya Govindaraju | Data Analyst/Data Scientist | Master's in Data Science, Indiana University Welcome to my LinkedIn profile! I am a dedicated Data Analyst/Scientist with a passion for uncovering insights from data, using advanced analytics, and driving innovation. Graduated with a Master's degree in Data Science from Indiana University Bloomington, I have a strong foundation in machine learning, big data applications, and cloud computing. ⭐ Professional Experience: At University Information Technology Services, I led the integration of Google Analytics across multiple enterprise systems, analyzing over 1 million records. My efforts resulted in a 30% increase in actionable insights for strategic decision-making. I also developed and optimized metrics dashboards that improved stakeholder engagement by 25% and increased project success rates by 20%. As a Graduate Research Assistant at Indiana University's College of Arts and Sciences, I focused on TikTok data analysis, primarily handling data preprocessing and analysis to derive key insights. Additionally, I contributed to GitHub repositories by adding new changes to the codebase and played a role in preparing for a data-driven competition, the Datathon. During my time at Cognizant as a Programmer Analyst Trainee, I conducted Exploratory Data Analysis (EDA) on financial datasets, improving operational efficiency by 10%. I also implemented data cleaning processes and developed predictive models to inform critical cost-saving strategies. ⭐Skills and Expertise: Programming Languages: Python, SQL, R, Matlab Cloud Platforms: AWS, Google Cloud Platform Data Tools & Libraries: Power BI, Tableau, Pandas, NumPy, Matplotlib, Seaborn, Google Analytics, Looker Studio Data Science & Analytics: Machine Learning, Predictive Modeling, A/B Testing, Data Cleaning, EDA, ETL Pipelines, Data Visualization 🎓 Education: Master of Science in Data Science, Indiana University Bloomington (2023-Present) Bachelor of Engineering in Information Science, Sir M Visvesvaraya Institute of Technology (2018-2022) 💡 Let's Connect: I am always open to connecting with professionals passionate about data science, analytics, and technology. Whether it's collaborating on projects or discussing trends in machine learning and data-driven innovation, feel free to reach out!

Country

United States

City

Columbus

Industry

Information Technology & Services

Skill

Data Cleaning, Predictive Modeling, A/B Testing, Data Analysis, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Apache Spark, Predictive Analytics, Tableau, Microsoft Power BI, Google Analytics, EDA, MongoDB, Microsoft Excel, Python (Programming Language), Machine Learning, React.js, Node.js, SQL

Experience

Reporting Engineer

Futurety

2025-10 - Present · 1 yr

Columbus, Ohio Metropolitan Area

Data Analyst

Indiana University Bloomington

2024-7 - 2025-9 · 1 yr 3 mos

Bloomington, Indiana, United States

-Integrated Google Analytics across all enterprise systems, on over 1 million records and enabled standardized metrics, resulting in a 30% increase in actionable insights for strategic decision-making. -Developed metrics dashboards tied to the Primary Constituent Data Source (PCDS), improving stakeholder engagement by 25%. Established outcome-based metric definitions and led a working group, increasing project success rates by 20%.

Graduate Research Assistant

Indiana University School of Arts and Sciences

2024-5 - 2024-12 · 8 mos

Bloomington, Indiana, United States

-Focused on TikTok data analysis, handling data preprocessing, pipeline development, and deriving key insights, resulting in a 15% improvement in data processing efficiency. -Created and maintained data pipelines, streamlining the ingestion and transformation of large datasets, reducing data processing time by 20%. -Contributed to GitHub repositories, enhancing the codebase with new features and improvements, increasing code deployment speed by 10%. -Worked with a cross-functional team to prepare for the Datathon, playing an essential role in data preparation and analysis.

Programmer Analyst Trainee

Cognizant

2022-9 - 2023-6 · 10 mos

- Conducted Exploratory Data Analysis (EDA) on financial data, identifying key trends and anomalies, leading to a 10% increase in operational efficiency and optimized SQL queries to improve data retrieval times by 35%. - Designed and implemented process automation solutions, reducing data processing time by 50%. Developed statistical models (regression, clustering) to enhance forecasting accuracy and business decision-making. - Automated data transformation processes, reducing processing time by 50%.