Satya Sai Pitani

Highly skilled data science graduate student with extensive hands-on experience in machine learning, data analysis, predictive modeling, and clustering analysis. Proficient in Python, TensorFlow, PyTorch, and Neural Network Models. Demonstrated excellence in developing and deploying scalable models and crafting tailored analytical solutions. Top performer with a proven ability to tackle complex problems, deliver actionable insights, and drive strategic decisions. Eager to apply a diverse skill set in data science roles, with a strong commitment to continuous learning and innovation.

• Advanced Time Series Prediction: Built neural network models (Deep NNs, RNNs, CNNs) for accurate time series forecasting using historical data. Successfully predicted target values for future dates. Tech: Python, TensorFlow, Keras, Pandas, NumPy.
• FoodieHub: Developed a data aggregation website pulling data from five food sites. Implemented web scraping, data wrangling, and a user-friendly interface. Tech: Python, Beautiful Soup, HTML, PyCharm.
• Student Movie Tastes: Conducted K-means clustering to segment movie preferences among students. Created a predictive coupon engine and designed targeted marketing strategies to enhance engagement. Tech: Python.

• NSS Cadet, NIT Rourkela (Aug 2019 - Dec 2019): Actively participated in community service initiatives, demonstrating a strong commitment to social responsibility.
• Manager, Vriddhi Sports Fest, NIT Rourkela (Nov 2019 - Mar 2021): Led event logistics with strong organizational and leadership skills, managing team schedules and coordinating requirements efficiently.