Ankush Pandey is an innovative and accomplished Software Developer with a focus on Python, Machine Learning, and Data Science. His impressive professional journey ranges from a hands-on software engineer to a part-time instructor, showcasing his versatility and robust technical acumen. He currently serves as a Python Developer at Vaco Binary Semantics LLP, where he is responsible for designing, developing, and maintaining RESTful APIs and microservices. His proficiency extends to web automation and scraping projects, signifying his well-rounded capabilities in software development.
Ankush’s prior experience with HCL Technologies involved Robotic Process Automation (RPA) development, where he led efforts in building automated solutions with machine learning models and UI automation. This blend of automation and machine learning techniques emphasizes his ability to enhance business processes and efficiency.
Beyond his developer roles, Ankush's skills as a Machine Learning Instructor at CodeQuest substantiates his in-depth understanding of Python, Machine Learning, and Data Science. He played a significant role in curriculum development and helped students master key technical concepts. As a freelancer, he successfully delivered over 70 machine learning projects, demonstrating his ability to manage and deliver complex tasks independently.
He's an alum of Rajkiya Engineering College, where he obtained his B.Tech in Information Technology, complementing his professional competencies with solid theoretical foundations. His research contributions and patents, particularly in the application of IoT sensors and machine learning for building security, underscore his innovative mindset.
Ankush has a proven track record in project management, highlighted by his successful completion of several projects including the development of a deep neural network-based web application for bone fracture detection, an AI-based plant disease classification web app, and customer segmentation using RFM and K-means clustering.
Equipped with a diverse skill set including Python programming, C programming, UiPath, Machine Learning, SQL, Linux, and Arduino Programming, Ankush brings a blend of technical expertise and innovation to the world of Data Science and Machine Learning. He is a solution-oriented professional dedicated to leveraging his skills for solving complex problems, enhancing system efficiencies, and delivering value in the technology landscape.
LinkedIn: ankush-pandey
Github: ap539813
Feel free to reach out to discuss opportunities, collaborations, or potential projects in the realm of Data Science, Machine Learning, and Data Analytics.
C PROGRAMMING
LINUX
ARDUINO PROGRAMMING
SQL
MACHINE LEARNING
DATA SCIENCE
(IEEE) Relative Distance Based Fuzzy Clustering Approach for Wireless Sensor Networks (In PRESS) - Utilisation of fuzzy clustering approach for energy optimization of Wireless Sensor network
National Conference on Entrepreneurship Development and Technological Innovation - For presenting the research paper on Innovation of Transistors in Electronics, at HBTU Kanpur.
(ICEECS) A Real-Time Approach to Compute the Distance between Objects for Automated Tasks (In PRESS) (08/2019 – 10/2019) - A real-time distance calculation of objects from the camera feed, the relative distance between objects calculation.
LANGUAGES
English - Full Professional Proficiency
Hindi - Native or Bilingual Proficiency
Feel free to reach out to discuss opportunities, collaborations, or potential projects in the realm of Data Science, Machine Learning, and Data Analytics.
SKILLS
PYTHON PROGRAMMINGC PROGRAMMING
LINUX
ARDUINO PROGRAMMING
SQL
MACHINE LEARNING
DATA SCIENCE
PATENTS
System for the security of buildings with IoT sensors and machine learningRESEARCH PAPERS
A Real Time Approach to Compute Distance between Objects for Automated Tasks (find the publication here : https://www.jardcs.org/abstract.php?id=6178 - In this article, the attempts have been made to create Artificial General Intelligence (AGI) to compute distance between objects for automated tasks.(IEEE) Relative Distance Based Fuzzy Clustering Approach for Wireless Sensor Networks (In PRESS) - Utilisation of fuzzy clustering approach for energy optimization of Wireless Sensor network
National Conference on Entrepreneurship Development and Technological Innovation - For presenting the research paper on Innovation of Transistors in Electronics, at HBTU Kanpur.
(ICEECS) A Real-Time Approach to Compute the Distance between Objects for Automated Tasks (In PRESS) (08/2019 – 10/2019) - A real-time distance calculation of objects from the camera feed, the relative distance between objects calculation.
LANGUAGES
English - Full Professional Proficiency
Hindi - Native or Bilingual Proficiency
