Harshitha K RAJ

Data Scientist with over 6 years of experience in data analysis and machine learning. Proficient in Python and experienced in data cleaning and transformation using advanced frameworks. Expertise in managing large datasets and providing actionable insights through complex data operations. Strong background in Power BI for effective data visualization and analysis, with a proven track record of delivering software projects on time and within budget.

Finance and operations optimization

• A comprehensive model that improves planning, process efficiency, and handles challenges in financial data analysis
• Developed a comprehensive model integrated with an efficient simulation tool to enhance planning and process efficiency across operations and finance, utilized statistical models like SARIMA or ARIMA for analysis, applied techniques for data enrichment, imputation of missing values, and management of outliers, ensured robust analysis through expert collaboration, and regular forecast updates with confidence intervals
• Utilized statistical models like SARIMA or ARIMA for analysis, applied techniques for data enrichment, imputation of missing values, and management of outliers
• Ensured robust analysis through expert collaboration and regular forecast updates with confidence intervals

Web scraping

• Automated scraping of dynamic e-commerce websites to extract product data
• Employed Selenium WebDriver for automated web scraping of dynamic e-commerce websites
• Handled tasks like scrolling and clicking while addressing challenges posed by JavaScript content and bot detection mechanisms

Sentiment analysis

• Developed methods for accurate sentiment classification using native languages and deep learning models
• Leveraged advanced NLP techniques for sentiment analysis in native languages
• Addressed challenges with linguistic complexity and contextual ambiguity to enhance sentiment classification accuracy

Energy assessment automation

• Automated energy assessment to deliver insights in energy management and geospatial analysis
• Created a Python-based automation solution for energy assessment, incorporating data from various APIs
• Generated geospatial maps and visualizations, leading to comprehensive data analysis

• Finance efficiency boost: optimized financial processes, improving efficiency by 50% in six months
• Web scraping enhancement: increased web scraping speed by 40% using Selenium
• High accuracy sentiment analysis: achieved 80% accuracy in sentiment analysis using deep learning
• Energy assessment automation: automated energy assessments, reducing manual effort by 50%

• Internship at BEL-CRL from 2011 to 2012: device driver for Windows CE 6.0
• Certified Scrum Master from the Scrum Alliance
• LinkedIn Learning (Power BI, Data Analytics)
• IBM Cognitive Classes (Data Science), Great Learning (Sentiment Analysis, Deep Learning, and Neural Network)