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Kalpan Tumdi
Surat, India
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
199.7
CodersRank Rank
Top 4%
Highest experience points: 0 points,
0 activities in the last year
JavaScript
30.2
exp.
JSON
29.4
exp.
HTML
16.1
exp.
CSS
5.2
exp.
Python
53
exp.
EJS
4.8
exp.
Java
35.4
exp.
TypeScript
10
exp.
Jupyter Notebook
8.5
exp.
Batchfile
4.1
exp.
Shell
2.9
exp.
List your work history, including any contracts or internships
Walnut App (A Capital Float Company)
7 months
Member Of Technical Staff
Sep 2020 - Mar 2021 (6 months)
Intern
Jul 2020 - Aug 2020 (1 month)
Capital Float
Jan 2020 - Sep 2020 (8 months)
Decision Science Intern
● Created a Machine Learning Model using Geo Location information of the users
● Developed Various features to predict the financial behavior of a person from the location information
● Analysed Financial Risk associated with the Location
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱 : Python, BigQuery, PowerBI
● Developed Various features to predict the financial behavior of a person from the location information
● Analysed Financial Risk associated with the Location
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱 : Python, BigQuery, PowerBI
Nirma University, Ahmedabad, Gujarat, India
May 2019 - Jul 2019 (2 months)
Summer Research Intern
● Acquired knowledge of various Deep Reinforcement Learning Algorithms such as Actor-Critic Network, Deep Q Network, Deep Deterministic Policy Gradients(DDPG).
● Implemented a 3D Robotic Arm Control model using Deep Deterministic Policy Gradient Algorithm with Tensorflow and Blender.
● Performed Hyper parameter tuning after various analysis.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱 : Tensorflow, Python, Blender, Mujoco, OpenAI Environments
● Implemented a 3D Robotic Arm Control model using Deep Deterministic Policy Gradient Algorithm with Tensorflow and Blender.
● Performed Hyper parameter tuning after various analysis.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱 : Tensorflow, Python, Blender, Mujoco, OpenAI Environments
Using Python to Access Web Data
Reinforcement Learning
Machine Learning
Mar 2019