Data Scientist | Computer Vision | Machine Learning | Python
4 Years of Experience
Pune, Maharashtra, India
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Not Available
As a passionate Machine Learning Engineer with a strong track record of transforming cutting-edge technology into real-world solutions, I have a knack for innovation and problem-solving. My work at ADOR Powertron Limited involved developing real-time incident detection systems, integrating advanced technologies like homography, and managing complex projects in traffic management. During my time at Infosys, I honed my skills in LSTM and computer vision to improve error management processes and designed AI and RPA solutions that streamlined operations, reducing manual effort and enhancing productivity. My educational journey includes a Post Graduate Program in Artificial Intelligence and Machine Learning from The University of Texas, and a B.Tech in Computer Science from Jaipur Engineering College & Research Center. With expertise in deep learning, Computer Vision, and statistical analysis, I hold certifications in machine learning, RPA, and deep learning. Beyond my professional life, I've achieved a 6-star rank on HackerRank, engaged in social initiatives, and earned a spot in the Limca Book of Records for origami. Let's connect and explore opportunities to collaborate and drive innovation in the tech space.
PubMatic, SaaS/Cloud Product, Information Technology & Services
Ador Powertron Limited
Infosys
PubMatic, Ador Powertron Limited, Infosys, KYC Hub, AdHoc Networks Infotech Private Limited
Job Title : Data Scientist
Company name : PubMatic
Period : May 2024 - Present
Location : Pune, Maharashtra, India
Job Title : Machine Learning Engineer
Company name : Ador Powertron Limited
Period : January 2022 - May 2024
Summary : • Designed and implemented an incident detection system for an Advance Traffic Management System (ATMS) using message queue architecture. This system provided real-time alerts and video recordings for various incidents on highways.
• Leveraged Nvidia Jetson Nano devices and HIKVISION cameras to enhance ATMS capabilities, leading to a successful deployment on the National Highway Road in Morbi.
• Integrated homography technology into the project to convert radar coordinates to image coordinates for speed violation detection, achieving a 98% success rate and improving accuracy.
• Led an Electric Vehicle (EV) project, developing a Dynamic Load balancing algorithm for EV chargers while effectively managing a team and meeting client needs.
• Contributed to the advancement of the Traffic Management System by developing Triple Rider Detection on motorcycles using machine learning algorithms.
• Designed and deployed a Helmet Detection Model using YOLO-v6, enhancing workplace safety measures by integrating it with the ADOR INDUS product.
• Automated the extraction of useful data from Road Accident FIRs on the Maharashtra Government website and utilized this data to train machine learning models for improved route prediction and road safety.
• Developed an advanced graphic visualization application for ADOR Traffic products and Accident Data in Maharashtra, improving data analysis and understanding.
Skills : Incident Detection Systems • IoT Devices and Cameras • Homography Technology • Team Leadership • Machine Learning • Computer Vision • Data Extraction and Analysis • Software Development • Graphic Visualization
Location : Pune, Maharashtra, India
Job Title : Software Developer
Company name : Infosys
Period : November 2020 - January 2022
Summary : • Utilized LSTM and computer vision techniques to develop a model that accurately categorizes bot errors, improving
error management processes.
• Designed and developed the AI and RPA solutions to streamline business processes, resulting in a 60-70% reduction
in manual effort, increased productivity and reduced human error.
Skills : LSTM • Computer Vision • Error Categorization • AI and RPA Solutions • Process Streamlining • Increased Productivity • Error Management • Automation • Business Process Optimization
Location : Pune, Maharashtra, India
Job Title : SDE Intern
Company name : KYC Hub
Period : June 2020 - July 2020
Summary : • Designed and built a face liveness detection model utilizing CNN algorithms, ensuring the security and reliability of
online KYC processes by detecting video-based face spoofing attacks.
• Designed and built an Automated Document Scanner application using OpenCV, reducing manual efforts by
automating document cropping, processing, and storage.
Skills : Face Liveness Detection • CNN Algorithms • Online KYC Security • Automated Document Scanner • OpenCV • Document Automation
Job Title : Machine Learning Intern
Company name : AdHoc Networks Infotech Private Limited
Period : June 2018 - July 2018
Summary : Worked as Machine Learning Intern, developed 2 projects under the Guidance of Lead.
• Face Generation with AI - The GAN model is used to generate a dummy face and further swap the face on live video streaming as well as on any recorded video using Opencv.
• Voice Authentication Model - A Deployed Deep Learning model to provide efficient voice authentication to the user based on Gaussian Mixture Model.
Skills: Computer Vision • Speech Recognition
Title : Infosys certified Machine learning professional
Period : July 2021 - Present
Issuing Authority : Infosys
Title : EdgeVerve Certified AssistEdge RPA Developer
Period : June 2021 - Present
Issuing Authority : Infosys
Title : Python
Period : June 2020 - Present
Issuing Authority : HackerRank
Title : Fundamental of Scalable data science
Period : May 2020 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/certificate/GB4VN724EHRX
Issuing Authority : IBM
Title : using python to access Web data
Period : April 2020 - Present
Summary : coursera.org, https://coursera.org/share/6b1b01278d1b1559da6ed8a5b49663d9
Issuing Authority : University of Michigan
Title : Sequence models
Period : June 2019 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/certificate/RXAFSLULRUNC
Issuing Authority : deeplearning.ai
Title : Convolutional Neural Network
Period : January 2019 - Present
Summary : YN2MWXP53Z2X, coursera.org, https://www.coursera.org/account/accomplishments
Issuing Authority : deeplearning.ai
Title : Neural Networks and Deep Learning
Period : December 2018 - Present
Summary : JUMVTGWAQEA9, coursera.org, https://www.coursera.org/account/accomplishments
Issuing Authority : deeplearning.ai
Title : Machine Learning A-Z
Period : February 2018 - Present
English (Professional Working), Hindi (Full Professional), Marathi (Limited Working)
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