Bandi Mohitha

Data Science and Web Development professional with hands-on experience building intelligent applications, deploying scalable web platforms, and applying machine learning to real-world problems. Proficient in Python, SQL, and JavaScript with demonstrated expertise in AI/ML model development, full-stack web development, predictive modeling, and data-driven decision making. Experienced in integrating AI/ML models into interactive web interfaces, cloud environments, and API-based systems.

Strong background in NLP, LLMs, RAG, Generative AI, and Computer Vision.

Data Engineer Intern - Opplane - California

(2025-06 - 2025-12)

• Designed and deployed Python-based web scrapers for U.S. and Singapore markets using Scrapy, Selenium, Playwright, and XML sitemaps, improving data acquisition efficiency and accuracy.
• Automated data collection workflows using API integrations, ensuring timely and reliable data pipelines for downstream analytics.
• Collaborated with cross-functional teams using Bitbucket and Docker for version control, containerization, and CI/CD workflow automation.

Data Analytics Intern - Infotact Solutions - Bangalore

(2025-03 - 2025-05)

• Built a Power BI dashboard for real-time cryptocurrency price forecasting and risk analysis; performed sentiment analysis using BERT and TextBlob on live BTC data.
• Applied ARIMA, LSTM, and Random Forest models for trend prediction, improving forecasting accuracy and enabling data-driven decision-making.

AI-ML-DS Intern - BlackBuck (IIDT & APSCHE) - Bangalore

(2024-05 - 2024-07)

• Deployed and optimized ML models in Python, achieving a 25% increase in prediction accuracy and reducing data processing time by 30%.
• Collaborated with teams on model deployment and performance tuning; recognized as Top Performer for contributions to project outcomes.

B.Tech - Computer Science (Specialization: Data Science) - Woxsen University (2022 - 2026)