Apr 2023 – May 2023 · 1 mo

• Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
• Implemented and evaluated artificial intelligence and machine learning algorithms and neural networks for diverse industries.
• Improved prediction accuracy by 22% by implementing advanced statistical models and regression analysis using Python libraries (scikit-learn, TensorFlow) to identify patterns across 50,000+ data points
• Reduced false positives by 18% through applying econometric techniques, developing predictive models that processed 3+ years of historical data with comprehensive
• backtesting procedures

Sep 2022 – Feb 2023 · 5 mos · Bengaluru, Karnataka, India

• Translated cost and benefits of machine learning technology for non-technical audiences.
• Applied appropriate data science techniques to solve business problems.
• Collaborated with business partners to understand business objectives.
• Pinpointed meaningful insights from large data and metadata sources.
• Performed advanced data extraction and data manipulation.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Dec 2021 – Jun 2022 · 6 mos · Mumbai, Maharashtra, India

• Collaborated with project managers and development team to brainstorm new ideas.
• Developed testing code for web-based applications.
• Developed user interfaces with modern JavaScript frameworks, HTML5, and CSS3.
• Developed user-friendly web forms with validation and error handling.

Jan 2020 – May 2020 · 4 mos · India · Remote

• Solved Pure Mathematics, Applied Mathematics, Statistics problem.