Hello, I'm Harshita Anala

Backend Developer

Impactworks, Bangalore

• Boosted registration completion rates by 25% through a custom form with validation and email verification.
• Enhanced application functionality by developing RESTful APIs with Django REST Framework for seamless front-end and back-end communication.
• Automated background tasks using Celery and Redis, cutting task execution time by 50% and improving system responsiveness.

Data Scientist

Impactworks, Bangalore

• Developed robust revenue forecasting models using time-series analysis and machine learning techniques, enabling accurate financial predictions and helping the organization allocate resources more effectively.
• Designed and implemented dynamic dashboards to visualize critical business metrics, providing real-time insights into performance trends. These dashboards empowered executives and teams to make faster, data-backed decisions.
• Built and optimized ETL pipelines to centralize data from multiple sources, improving accessibility and streamlining analysis.

Machine Learning Intern

Reliance JIO, Mumbai

Developed an AI-powered chatbot using Machine Learning & NLP to automate customer complaint resolution, improving efficiency, reducing costs, and enhancing customer satisfaction at Reliance Jio.

• Developed an AI-powered chatbot using machine learning and NLP, trained on 560,000 data points, to analyze and categorize customer complaints, enabling faster and more accurate resolutions.
• Leveraged Python and machine learning techniques to automate customer support, improving response efficiency and enhancing the overall customer experience.
• Successfully optimized issue resolution rates, reducing response time and operational costs while boosting customer satisfaction through AI-driven automation.

Undergraduate Research Assistant

Vesit Renaissance cell, Mumbai

Built a ML-powered disease diagnosis website with CNN & classification models, achieving 90% accuracy, and gaining hands-on experience in NLP, model optimization, and web development for healthcare solutions.

• Developed a dynamic disease diagnosis website integrating machine learning models, enabling users to identify health conditions based on inputs.
• Designed and optimized classification models (Random Forest, Logistic Regression, CNN) using Python, TensorFlow, and scikit-learn, achieving 90% accuracy.
• Gained hands-on experience in NLP, model optimization, and web development, enhancing problem-solving and teamwork skills while working on real-world healthcare solutions.