Testimonials

  • It was a really productive session. I got to know a lot of things about placement and how the entire process works and how i can start working on it. Also what all i was doing which could have been done in a better way. Harsh guided me through everything. It was really helpful
    Harsh Nagrani
  • Very Helpful. Helped me understand how I can be well prepared for my interview
    Shivangi Gupta

Services

Video meeting . 60 mins

Mock interview

Mock Interview with a detailed feedback to improve yourself
9001,200
Video meeting . 30 mins
5
500
Video meeting . 15 mins

Resume review

Industry Standard Resume Review to get you ahead of race.
350
Video meeting . 15 mins

Quick chat

Quick Chat to discuss all your douts regarding your career.
250
Video meeting . 30 mins

1:1 Mentorship

Confused about your Career. Book a 1:1 Mentorship session
700900
Video meeting . 15 mins

Discovery Call

Discovery Call
550
Video meeting . 30 mins

Career guidance

Career guidance
490600
Popular

Ratings and feedback

5/5
2 ratings
2
Testimonials

About me

"Becoming Better at Making Decisions. Because I know how to make better decisions from Data as a Data Scientist" My interest in ML and AI that's what makes me stand as a Data Scientist. I have good experience and worked on various projects in Machine Learning, Computer Vision, NLP, Image Processing, Image Segmentation, EDA, and Data Analytics. I have good problem-solving Skills and a better understanding of Data Structures and Algorithms. Besides that, I had the experience of MERN Stack Development. ★ Programming Skills- C, C++, Python(Numpy, Pandas, Matplotlib, seaborn, SKlearn, Keras, and TensorFlow). ★ Domain Knowledge- Machine Learning, DeepLearning, Computer Vision, Natural Language Processing, MLOps, Image Processing, Image Classification, Image Segmentation, Data Analytics, and Web Development. ★ Development Skills- HTML, CSS, Javascript, Jquery, ReactJS, NodeJs, MongoDB, MySQL. ★ Machine Learning & Deep Learning:- Hands-on Experience in Supervised and Unsupervised Machine Learning Algorithms. Deep understanding of Deep Learning Architectures like NN, CNN, RNN, LSTM & and Transformers.