Tanishq Kumar
ML EngineerData Scientist
EagleView
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Data Scientist, graduate in Computer Engineering. I know Python and Java including Data Science, Machine Learning, Deep Learning, Computer Vision, NLP, and Data Structures and Algorithms and am proficient with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
J.C. Bose University of Science and Technology, YMCA
Bachelor of Technology - BTech, Computer Engineering
N/A – Present
EagleView
Data Scientist - I
July 1, 2025 – Present
EagleView
Data Scientist Intern
November 1, 2024 – June 1, 2025
Time Series Forecast
February 1, 2024 – Present
Prediction of Temperature in future (MultiVariate Time Series Forecasting using LSTM) and visualizing them using matplotlib and seaborn.
Implementation of Transformers Research Paper
January 1, 2024 – Present
seq2seq translation of text from english to spanish using transformers architecture based on Attention and Self Attention Mechanism by following Transformers research paper.
Implementation of YOLOV3 Research Paper
November 1, 2023 – Present
Detection of objects and creating bounding box around it using YOLOv3 architecture by following YOLOv3 research paper.
Anime Sketch Colorizer
October 1, 2023 – Present
Translation of Anime Sketch images to Colored Anime image using pix2pix architecture of Generative Adversarial Network implemented in PyTorch.
Face Emotion Recognition
September 1, 2023 – Present
Detection of Face Emotion into 7 classes based on CNN multi class classification implemented in PyTorch. Can also view realtime emotion using opencv.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge ML research and practical application, which aligns well with an innovative ML Engineer role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit regarding collaboration and broader community engagement. The experience is primarily academic and personal project-driven, with limited professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.