APAAR ARORA
@apaararora
Full Stack Developer at Techfour Solutions
New Delhi, India
Dedicated and results-driven Data Scientist with expertise in proficiently collecting, cleaning, and organizing diverse datasets to facilitate effective utilization by both technical and non-technical stakeholders. Possesses an advanced understanding of statistical, algebraic, and various analytical techniques, contributing to the extraction of meaningful insights from complex data. Known for exceptional organizational skills, motivation, and diligence, with a substantial background in leveraging Python and Deep Learning methodologies. Proven ability to deliver impactful solutions through the application of cutting-edge data science techniques. Adept at developing and implementing strategies that optimize data-driven decision-making processes. Demonstrates a commitment to staying abreast of industry trends and maintaining a high level of proficiency in emerging technologies. An excellent team player with a passion for addressing complex challenges and driving innovation within data science projects.
Experience
Full Stack Developer
Techfour Solutions
Reviewed code, debugged problems, and corrected issues. Analyzed existing software implementations to identify areas requiring improvement. Developed functional databases, applications and servers to support websites on back-end. Worked with back-end developers to design APIs. Used NodeJS, ORM and SQL/No-SQL to develop and manage databases.
Technical Support Engineer
Hewlett Packard Enterprise
Explained technical information in clear terms to promote better understanding for non-technical users. Responded to support requests from end-users and patiently walked individuals through basic troubleshooting tasks. Provided guidance on installing and integrating new hardware components and software to remote clients. Performed root cause analysis of reported issues to enact corrections.
Full Stack Developer
Hewlett Packard Enterprise
Learned the creation and setting up of MongoDB database. Built the backend/middleware for the platform using NodeJS. Learned setting up Kafka Consumer to consume data from the edge devices. Worked on converting high-level concepts discussed within the team into actual code. Built reusable and scalable code for future use.
Education
University of Reading
Master of Science: Data Science
Research Project: Anomalous Behaviour Detection. The YOLOX-based model demonstrated high detection accuracy across a range of anomaly types and scenarios, achieving an Average Precision (AP) of 16.06.
BMS Institute of Technology & Management
Bachelor of Technology: Computer Engineering
Research Project: Automated Image Captioning System Using Deep Learning. The model achieved 68% accuracy in generating captions for uploaded images.