Raveen R

Experience

• 

  Indian Institute of Technology, Madras

  Jul 2020 - Jun 2021

  Research Intern

  Ultrasonic Inspection using Coded Excitation on plates.Generated signals of high SNR with minimal power using signal processing.The generated signal is comparable to the signal obtained by high power.

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  Xyma Analytics Pvt Ltd

  Jun 2021 - May 2023

  Collaborated with cross-functional teams (data engineering, business analysis, stakeholders) to design and develop the data-driven sensor using technologies such as Azure Databricks, SQL, Python, and PySpark.Utilized advanced data visualization tools (Power BI, Google Sheets) to create insightful, interactive reports, effectively communicating key findings and actionable intelligence to stakeholders at all levels.Customized the sensor by implementing and fine-tuning various machine learning and deep learning algorithms using TensorFlow, and conducting comprehensive data analysis with Python to extract actionable insights based on stakeholder requirements. Show less Handled sensor data by imputing missing values, removing duplicates, detecting and treating outliers, applying feature scaling (standardization and normalization), and performing feature engineering to enhance model performance.Developed sensor to test fluids using regression models (Polynomial Regression, Random Forest, XGBoost). Optimized parameters using gradient descent, tuned hyperparameters (e.g., depth, estimators, learning rate), and performed feature selection and engineering. Applied cross-validation and evaluated performance with RMSE, MAE, and R-squared.Modified sensor based on neural network by building and training the model using techniques like artificial neural networks (ANN). This involved tuning hyperparameters (learning rates, batch sizes, layers, neurons), validating with k-fold cross-validation, and evaluating accuracy with MSE and R-squared for reliability and robustness.Conducted comprehensive and in-depth analysis on the output data generated by these predictive models, employing SQL in MySQL and using Python to gain a profound understanding of underlying patterns, trends, and correlations, facilitating the extraction of actionable insights which help to make decisions Show less

  • Project Manager

    Jun 2022 - May 2023

  • PGET (Data Science)

    Jun 2021 - May 2022
• 

  Nineleaps

  Oct 2023 - now

  Data Analyst I

  Designed and deployed interactive dashboards on GDS, Gsheet and Tableau, providing stakeholders with real-time insights and actionable intelligence.Conducted in-depth data exploration and analysis to uncover key business insights, enabling data-driven decision-making for stakeholders.Automated data extraction, transformation, and loading processes using Jupyter notebooks and Google BigQuery (GBQ) tables, streamlining workflows and improving operational efficiency.Developed and optimized data pipelines using uWorc, SparkSQL, and HiveETL frameworks, ensuring efficient data processing and analysis.Collaborated with cross-functional teams to understand stakeholder requirements and deliver tailored data solutions, fostering effective communication and problem-solving skills. Show less