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Schedule Interview NowAt Softaims, I have been fortunate to work in an environment that values creativity, precision, and long-term thinking. Each project presents a unique opportunity to transform abstract ideas into meaningful digital experiences that create real impact. I approach every challenge with curiosity and commitment, ensuring that every solution I design aligns not just with technical requirements, but also with human needs and business objectives. One of the most rewarding aspects of my journey here has been learning how to bridge the gap between innovation and practicality. I believe technology should simplify complexity, enhance efficiency, and empower people to do more with less friction. Whether building internal systems, optimizing workflows, or helping bring client visions to life, my focus remains on developing solutions that stand the test of time. Softaims has encouraged me to grow beyond coding—to think about design, communication, and sustainability in technology. I see every project as part of a larger ecosystem, where small details contribute to long-lasting results. My daily motivation comes from collaborating with people who share the same passion for doing meaningful work, and from seeing the tangible difference our efforts make for clients around the world. More than anything, I value the culture of learning and improvement that defines Softaims. It’s a place where ideas evolve through teamwork and constructive feedback. My goal is to continue refining my craft, exploring new approaches, and contributing to solutions that are not only efficient but also elegant in their simplicity.
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This project aims to develop a comprehensive API for Bitcoin price analysis, providing both historical and real-time data. Built with FastAPI, the API integrates with multiple cryptocurrency exchanges like Coingecko, CoinCap, Binance, and Kraken to deliver accurate and up-to-date pricing information. By focusing on efficiency and scalability, this API serves as a valuable resource for developers, traders, and analysts, facilitating informed decision-making in the volatile cryptocurrency market.
The goal of this project was to predict customer churn for telecommunications companies using machine learning techniques. I implemented Random Forest and XGBoost models to analyse customer data and identify key factors influencing churn. By evaluating model performance with confusion matrices and classification reports, I provided actionable insights to help companies like MTN, Airtel, 9mobile and Outsource Global enhance their customer retention strategies. The project significantly improved decision-making processes, leading to potential revenue growth through reduced churn rates.
The goal of this project was to analyse customer reviews to determine their sentiment positive, negative, or neutral based on the text content of the reviews and associated metadata. Using Natural Language Processing (NLP) techniques, I extracted valuable insights into customer feedback, which helped identify product strengths and weaknesses. The analysis provided actionable insights that enabled the business to improve customer experience and refine product offerings, ultimately driving higher customer satisfaction.
Bachelor of Science (BS) in Statistics
2012-01-01-2016-01-01
Other in Post Graduate Diploma in Management
2020-01-01-2021-01-01