DHANUSH P S

Data Science enthusiast with 1.5+ years of experience leveraging Python, SQL, and Machine Learning skills to deliver data-driven solutions, with compassion to gain experience and knowledge compiled with teamwork and responsibility.

• Exploration of controller alarms to determine root cause, Leveraged BigQuery for efficient data retrieval using subqueries and predefined views. Performed EDA, feature extraction, and model building to gain insights and create a virtual sensor using bagging method with reusable code. Employed time series analysis across data to develop 5+ compressor modules to understand root causes of controller alarms through CM.
• Automation of NLP process for keyword extraction, Extracted failure methods and components from 400+ cases using ngrams and RegEx in Python. Developed reusable functions to automate data processing and prioritize projects based on failure frequency.
• Analysis of service records, Use of service logs as additional resource for analytics. Feature engineering and string manipulation for extraction of labels using Python and RegEx method to generate 2+ use cases.
• Remaining Useful Life (RUL) EDA on consumables, Exploratory Data Analysis to determine feature selection from 10+ parameters. Used Seaborn, Plotly and Matplotlib libraries for visualizations. Generated statistical analysis and inferences.

• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn
• SciPy
• Plotly
• NLTK
• SpaCy
• PyLDAvis
• Wordcloud

• Analysis of TMDb dataset, Utilized Python to handle JSON data conversion, facilitating data intake and manipulation. Built and optimized various machine learning models using regression, classification, clustering, and time series. Implemented dynamic Tableau dashboard for insights obtained.
• Zomato analysis, Summarized the general trends observed in the food delivery market based on the Zomato dataset. Identified potential opportunities for growth or improvement using offers/coupons. Implemented a Tableau dashboard for interactive visualization and insights.
• Flight delay analysis and prediction, Integrated dataframe tables for more meaningful insights. Built various classification models such as Random Forest, Naïve Bayes, and Logistic regression for prediction purposes. Hyperparameter tuning and evaluation of models were also achieved.
• Predicting the value of the property, Business Domain understating and data exploration was carried out leading to the development of potential high-level insights. Built various regression models such as Random Forest regressor, Decision Tree regressor, SVM and Linear regression models.

• Intern, Gas Turbine Research Establishment, DRDO, Bengaluru, 08/2021, 01/2022
• Quality Engineer, Rely Fab Solutions, Bengaluru, 01/2019, 02/2019

• Date of Birth: 04/08/1999
• Gender: Male
• Nationality: INDIAN

• Watching documentaries • Extreme sports • Reading Books • Listening to music