As a Junior Data Scientist, I used Python to extract, clean, and analyze data, including document extraction using libraries such as PyPDF2 and Textract. I created custom visualizations using Matplotlib, Seaborn, and Plotly and applied NLP techniques and NER on Kerala's budget data to extract insights about budget allocation for different sectors. My insights helped identify key areas of focus and improve budget allocation.Experienced in utilising LLM for document-based question answering.Worked as data-driven problem-solver with one year of experience in data science.Demonstrated proficiency in performing data preprocessing and cleaning, conducting exploratory data analysis, and applying various machine learning techniques.Developed skills in programming languages such as Python and SQL, and data analysis libraries and frameworks such as Pandas, NumPy, and Scikit-learn.Demonstrated proficiency in statistical analysis and modeling, adept at discerning patterns and trends in complex data sets.

As a Data Analyst intern, I performed in-depth Exploratory Data Analysis (EDA) using Python libraries such as Pandas, NumPy, and Matplotlib. I collected, cleaned, and analyzed large datasets, and leveraged visualization techniques to identify insights and trends. My EDA findings were communicated to non-technical stakeholders and used to inform key business decisions. Through this internship, I further developed my analytical skills and ability to communicate technical concepts to non-technical audiences.