Venkata Sai Sree Haritha Vemuru

Experienced Data Analyst with a strong background in Big Data, Machine Learning, NLP, and Data Engineering. Proficient in SQL, Python, and R, with expertise in data processing, ETL pipelines, and database management. Skilled in building scalable data solutions, automating workflows, and creating data visualizations to support business insights. Adept at problem-solving, optimizing performance, and improving decision-making through data-driven strategies.

• Processed real-time sensor data to develop predictive maintenance models.
• Used PySpark & Spark MLlib for gradient-boosted tree regression and created a MongoDB-backed interactive dashboard.

• Built a classification model to detect toxic, obscene, and hate speech using BERT, LSTM, GRU, and XGBoost.
• Applied advanced NLP preprocessing and class imbalance handling for improved accuracy.

• Implemented clustering, decision trees, PCA, and association rule mining for business intelligence applications.
• Optimized data-driven strategies using RapidMiner and Excel Solver.

• Developed interpretability models for predicting TV show success using SHAP explanations.
• Applied Random Forest and Gradient Boosting to analyze viewer engagement trends.

• Conducted sentiment analysis on 250,000+ tweets to predict election outcomes.
• Created time-series visualizations in R (ggplot2) to analyze sentiment fluctuations.

• Designed a secure bidding system using Ethereum smart contracts to ensure tamper-proof contract execution.

• Implemented a secure cloud data-sharing model using Java and cryptographic techniques.