Vikramaditya Thatikonda

• Efficiently managed customer requests in a fast-paced environment, ensuring minimal wait times and seamless service delivery.
• Managed front-desk operations, including taking and processing orders, handling payments accurately, and addressing customer concerns with professionalism.
• Successfully balanced customer interactions, order management, and fulfilling directives from managers, improving overall operational efficiency.
• Improved communication in French and cultural adaptability by engaging with a multicultural customer base and colleagues, contributing to a welcoming service environment.

• Analyzed subscription sales for 18 months and advertising revenue data using Pandas, SQL and Excel
• Identified and documented key growth opportunities and contributing to a 5% increase in renewals
• Evaluated news source data, improved content targeting by 15%, & developed dashboards using Power- BI
• Collaborated with editorial and marketing teams to implement data-driven decisions, improving efficiency by 8%

• Engineered a robust deep learning algorithm to produce precise trading signals for Apple Inc
• (AAPL); integrated Moving Averages and Relative Strength Index, resulting in a 30% reduction in false signals
• Extracted and processed data from APIs, using advanced libraries including NumPy, Scikit-learn, and TensorFlow
• Achieved a predictive accuracy improvement of 20%, enhancing decision-making in stock trading
• Employed a range of machine learning algorithms including LSTM, SVM, Decision Trees, and Random Forest, with the Random Forest achieving a standout 97% accuracy

• Spearheaded the creation of a predictive model that elevated Rossmann store sales forecasting precision by 20%, utilizing sophisticated analytics techniques such as XGBoost and Random Forests
• Executed feature engineering on 15 new predictive variables that enhanced the accuracy of sales forecasts by 40%
• Optimized model performance by 15% through advanced hyperparameter tuning techniques
• Facilitated effective cross-cultural team collaboration with a team of 5 members, integrating diverse analytical perspectives and methodologies, which improved project outcomes

Courses: Statistical Modeling for Business, Deep Learning for Finance, Time Series Analysis, Data Management, Alternative Investment, Programming for Data Analytics

• Forex Prediction using LSTM & CNN hybrid model - Research Project