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Debjit Datta has experience as a data science intern at Vidgyor where he built algorithms for ad detection on live streams using machine learning and deep learning. He also worked as a research intern at NIT Durgapur developing advanced imputation techniques on spatio-temporal air quality data using various algorithms. Additionally, he was a technical content writer for GeeksForGeeks focusing on algorithm complexity analysis. His skills include Python, Pandas, Numpy, scikit-learn, machine learning, deep learning, algorithms, Git, C++ and Java.
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Resume
Debjit Datta is a data scientist from Kolkata, India who studied BTech in IT from 2017-2021. He has worked as a data science intern at Vidgyor in Bengaluru building ad detection algorithms using machine learning and deep learning. He was also a research intern at NIT Durgapur working on advanced imputation techniques for spatio-temporal data. His skills include Python, Pandas, Numpy, scikit-learn, machine learning, and deep learning. He has achieved success in data science competitions and on coding platforms. Personal projects include traffic volume prediction and contraceptive method choice prediction models.
Resume
This document contains the resume of Debjit Datta. It lists his educational qualifications from Kalyani Government Engineering College in Kolkata, India as well as his work experience including internships at Artivatic.ai, Vidgyor, and NIT Durgapur related to computer vision, data science, and machine learning. It also outlines his skills in Python, Java, C++, machine learning, deep learning, and various libraries/tools. Personal projects on traffic volume prediction and contraceptive method choice are also mentioned along with achievements in various hackathons and competitions.
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Rishab Pal has over 4 years of experience in machine learning and software engineering. He currently works as a Machine Learning Engineer at Trantor Software, where he is developing a self-learning robotic process automation platform using machine learning techniques like imitation learning and reinforcement learning. Previously, he worked at Yamaha Motor Solutions on various projects involving computer vision, distributed deep learning, and time series analysis. He also has internship experience in machine learning and technical volunteering experience.
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Gopi Sumanth Bhaskar is seeking a full-time position to utilize his skills in machine learning, data analysis, Python, C++ and more. He has a M.Sc. in Computer Science from South Asian University and B.Tech from Lovely Professional University. His personal projects include cancer diagnosis, sentiment analysis of Amazon reviews, and implementing Naive Bayes on datasets. He has received scholarships, published research, and qualified for GATE and NTA NET exams.
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Debjit Datta is a data scientist from Kolkata, India who studied BTech in IT from 2017-2021. He has worked as a data science intern at Vidgyor in Bengaluru building ad detection algorithms using machine learning and deep learning. He was also a research intern at NIT Durgapur working on advanced imputation techniques for spatio-temporal data. His skills include Python, Pandas, Numpy, scikit-learn, machine learning, and deep learning. He has achieved success in data science competitions and on coding platforms. Personal projects include traffic volume prediction and contraceptive method choice prediction models.
Resume
This document contains the resume of Debjit Datta. It lists his educational qualifications from Kalyani Government Engineering College in Kolkata, India as well as his work experience including internships at Artivatic.ai, Vidgyor, and NIT Durgapur related to computer vision, data science, and machine learning. It also outlines his skills in Python, Java, C++, machine learning, deep learning, and various libraries/tools. Personal projects on traffic volume prediction and contraceptive method choice are also mentioned along with achievements in various hackathons and competitions.
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Shujaat Hasan is an AI engineer with experience building computer vision and NLP models. He has worked as a freelance AI engineer and for companies in Kenya and India developing models using TensorFlow and Keras for tasks like lane detection, traffic sign classification, face detection and more. He has a PGDM in Big Data Analytics and a BTech in Electronics and Communication. His skills include computer vision, deep learning, machine learning, OpenCV, TensorFlow and Python.
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Alberto D. Cappa Cermeño is a computer science student at the University of Puerto Rico - Mayagüez Campus with relevant coursework including data structures, algorithms, computer architecture, OOP, programming languages, databases, networks, and machine learning. He has internship experience at Apple and JPMorgan Chase as a devops engineer and software engineer where he developed full stack applications, increased test coverage, and collaborated in agile environments. Currently, he leads a startup project to develop an automated hydroponic system and conducted research using computer vision and TensorFlow. Alberto has experience in leadership positions promoting STEM education.
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Anirban Manna is seeking a software development role where he can progress his career. He has experience as an intern developing chatbots using technologies like Dialogflow, PHP, and Python. He also has experience with projects involving machine learning, including breast cancer detection. His education includes a B.Tech from IIIT Bhubaneswar with a 7.06 CGPA.
Resume
Kshitij Patil is a senior undergraduate student studying Computer Engineering at Pune Institute of Computer Technology. He has experience interning at Periwinkle Technologies working on cervical cancer screening using deep learning techniques. He is currently working on a CNN-based forest fire detection algorithm. Kshitij has strong skills in deep learning, machine learning, programming and software development and has won several awards and competitions for his projects.
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Kunal Sharma's resume summarizes his education, experience, projects, skills, and accomplishments. He has a B.Tech in Information Technology from JSSATE Noida and has worked as a summer intern at Orane Consulting and The Sparks Foundation. His projects include a student feedback system, chat application, and registration web application. He is proficient in languages like Java, Python, and tools like Spring Boot, MySQL, and OpenCV. He has published papers and participated in conferences and hackathons. His hobbies include blogging, public speaking, and playing badminton.
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- 1. Debjit Datta ❏ Kolkata, India ❏ BTech - IT(2017-2021) ❏ Kalyani Government Engineering College ❏ 8013811019/8240754450 ❏ debjitdbb@gmail.com EXPERIENCE Vidgyor, Bengaluru — Data Science Intern Dec 2019 - FEB 2019 Built an ad-detection algorithm on live stream using: ● Machine Learning (opencv) ○ Detected the starting and ending points of commercial breaks using correlogram, orb and flann based matcher. ● Deep Learning (Yolo_v3) ○ Created a signature for each ad using yolo_v3 working on the coco dataset ○ Detected the starting points of commercial breaks on live streams using the signature created NIT Durgapur — Research Intern(Data Science) JUNE 2019 - AUG 2019 ● Worked on advanced imputation on spatio-temporal data based on air quality index data of New Delhi ● Filled missing values in geo-sensory time series data using Spatio-temporal Multi-View Based Learning(ST-MVL) ● Algorithms used: ○ Inverse Distance Weighting(IDW), Simple Exponential Smoothing(SES), User-based Collaborative Filtering(UCF) and Item-based Collaborative Filtering(ICF). ● Technologies used: ○ Numpy, Pandas, Matplotlib, Geopy, Missingno GeeksForGeeks - Technical Content Writer MAY 2018 - APRIL 2019 ● Wrote various technical articles on data structures and algorithms mainly focussing on complexity analysis of algorithms List of articles written by me SKILLS Python Pandas Numpy Scikit-learn Machine Learning Deep Learning Algorithms Git C++ Java ACHIEVEMENTS Techfiesta 2019 Won 1st position in the contest Predict.ai, a Machine Learning event. IIT Sangam 2019 Participated in the finals of IIT Sangam, a Machine Learning Hackathon organised by IIT Madras Hackerrank Highest rating achieved : 1930.04 Codechef Highest rating achieved : 2019 (5*)
- 2. PERSONAL PROJECTS Traffic Volume Prediction— A keras model to predict traffic volume from time series data Tech used : Python, Jupyter Notebook, Keras, XGBoost, Pandas, Numpy Facilities : This model predicts the traffic volume of a place from weather data. Github : https://github.com/debjitdbb/Traffic-Volume-Prediction Contraceptive Method Choice— A machine learning model which predicts the current contraceptive method choice (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics. Tech used : Python, Jupyter notebook, sklearn Github : https://github.com/debjitdbb/Contraceptive-Method-Choice