Sep 2023 – Dec 2025 · 2 yrs 3 mos · Remote

Jul 2022 – Sep 2023 · 1 yr 2 mos · Hyderabad, Telangana, India

• Achieved 99% accuracy in Cash Forecasting using Machine Learning models like Linear Regression,LSTM and XGboost. Also done hyperparameter tuning for the same to attain the best results.
• Developed and deployed a Cash Forecasting Model using an ensemble approach (LSTM and XGBoost), resulting in a 15% increase in forecast accuracy. Built a robust Confidence Interval tool for validating Cash and Time Series Forecasting results.
• Led data preprocessing efforts, cleaning and transforming raw cash flow data from multiple sources, reducing data inconsistencies by 20%.
• Conducted Exploratory Data Analysis to uncover insights and anomalies, driving more targeted Feature Engineering strategies. Implemented automation for regular model updates, reducing manual intervention by 80%.
• Took ownership in migrating newly developed products into production and making them ready for the client.
• Actively participated in code reviews and provided constructive feedback, contributing to a culture of continuous improvement and a high-quality codebase.
• Collaborated with cross functional teams to analyze product usage metrics alongside implementing product recommendations suited to changing business requirements.
• Collaborated with Design teams to translate wireframes into responsive, interactive user interfaces using React.js, JavaScript, and CSS, resulting in improved user engagement and increased efficiency.
• Implemented state management using Redux, improving data flow and facilitating efficient updates to the user interface.
• Optimized application performance by identifying bottlenecks and making necessary optimizations, resulting in a 20% reduction in page load times.
• Worked closely with back-end developers to integrate front-end components with RESTful APIs, ensuring seamless data exchange and improved functionality.
• Developed User Interface and implemented responsive designs and optimized application performance by leveraging React.js best practices, enhancing the overall user experience.

Jun 2021 – Jun 2022 · 1 yr · Hyderabad, Telangana, India

• Worked in the Treasury Management Team to provide a suite of AI-powered solutions designed to support treasury teams across all industries by automating and enhancing their Cash Forecasting, Cash Management and Bank Reconciliation processes.
• Assisted in the development of machine learning models, leveraging Python and libraries like TensorFlow and scikit-learn, to analyze large datasets and extract actionable insights.
• Conducted data preprocessing, feature selection, and model evaluation, resulting in accurate predictions and improved decision-making capabilities.
• Collaborated with a team of data scientists to refine algorithms and optimize model performance, enhancing overall predictive accuracy.

Oct 2020 – Oct 2020 · 0 mo

Sep 2020 – Jan 2021 · 4 mos

Sep 2020 – Sep 2020 · 0 mo

• The Alphaa AI Fellowship Program is an extremely coveted fellowship program with admission rate of less than 12%.
• It’s an 8-week full-time very selective program that enrols students and professionals who have keen interest in learning data science and its applications in business using AI, to grow themselves as data and technology positive leaders.
• With a vision to create leaders who understand technology application and their core domain well enough to contribute to a data-driven organisation in whichever role they are, this program focuses on:
• 👉🏻 Leadership
• 👉🏻 Peer to peer learning of fellows
• 👉🏻 while acquiring an understanding of the latest technologies,
• marketing,
• 👉🏻 And design in addition to data science.

Aug 2020 – Sep 2020 · 1 mo

Jul 2020 – Sep 2020 · 2 mos

Jul 2020 – Jul 2020 · 0 mo

Jul 2020 – Jul 2020 · 0 mo

Apr 2020 – Apr 2020 · 0 mo