SQL, Power Bi, Tableau, Python

Rithika Subramani Data Analyst

************@*****.*** 405-***-**** Edmond, Oklahoma LinkedIn

Profile

Exemplary Data Analyst with approximately 2 years of expertise in the realms of data analysis and mining. Adept in SQL for the management of databases, Python for the manipulation and analysis of data, Tableau and Power BI for the visualization of data, and MATLAB for mathematical modeling. Showcased capability in deriving valuable insights from extensive and intricate datasets through the utilization of statistical methods and advanced analytics tools. Skills

Languages: Python(Pandas, NumPy, SciPy, Matpotlib, Seaborn), R, SQL, Java, SAS Database: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server Tools & Technology: Power BI, Tableau, AWS Redshift, Google Big Query, Snowflake, Scikit-learn, TensorFlow, Keras, PyTorch, AWS, Azure

Others: Data wrangling, Feature engineering, Handling missing data, Hypothesis testing, regression models, Statistical Analysis, Critical Thinking, Quantitative Analysis

Professional Experience

Data Analyst, Cognizant 08/2023 – present Remote, USA Conducted in-depth data analysis on key metrics in the aviation industry, including flight schedules, passenger traffic, aircraft maintenance records, fuel consumption, and safety incidents, utilizing Python. Integrated weather information, airspace restrictions, and airport congestion data with internal aviation data using Apache Spark and Apache Kafka to augment situational awareness. Employed the AWS Lambda server less computing platform to develop event-driven microservices for real-time data processing, integrating third-party APIs within the aviation sector. Utilized machine learning algorithms, specifically Random Forest Regression and Gradient Boosting models, on historical aviation data to predict flight demand and optimize pricing structures. Developed and managed MySQL databases to facilitate the storage, organization, and retrieval of critical aviation data, including flight schedules, passenger information, and aircraft details. Data Analyst, Genpact 05/2021 – 07/2022 Bangalore, India Utilized Python to preprocess data, engineer features, and develop models, resulting in a substantial 30% enhancement in accuracy for risk assessment.

Leveraged Python, particularly NumPy and Pandas, to efficiently preprocess data, employing advanced functionalities for effective dataset manipulation.

Automated data extraction and transformation using Python scripts, leading to a more efficient analytics pipeline and significant time savings compared to manual methods. Implemented random forest for ensemble learning, contributing to a 10% improvement in risk assessment accuracy. Additionally, employed a neural network model to capture complex, non-linear patterns, achieving a further 15% increase in accuracy.

Integrated SAS software with Python for comprehensive data analysis, leveraging the strengths of both platforms to enhance risk assessment accuracy and streamline modeling processes. Connected Python-based predictive models with Power BI dashboards for real-time risk visualization, resulting in a remarkable 25% increase in stakeholder engagement. Education

Master Degree, University of Central Oklahoma 08/2022 – 05/2024 Oklahoma, USA Computer Science

Bachelor of Engineering, Acharya Institute of Technology 08/2018 – 07/2022 Bangalore, India Information Science and Engineering