My Profile

My name is Shivam Modi and I am currently pursuing a Btech degree in Electrical engineering.
I'm highly inclined towards Data Analysis, Deep Learning, Machine Learning and Computer Vision. I also have knowledge of MySQL database programming through a Udemy course and Programming with C++ is one of my strengths because I've practised a lot competitive programming as well.
Contact details:
Email ID - modishivu09@gmail.com
Phone no. - 9328409085

Given is the link for my 2 page Technical resume: https://tinyurl.com/38sh8ahh

Given is the link to my LinkedIn profile: https://www.linkedin.com/in/shivam-modi-aa15261a9

Internship Experiences

For more details regarding my work during the internships, please refer to my resume. It has detailed note of my projects I worked on during the internship phase.

Oracle

Upcoming summer Intern @ 2022
Position - Server Technology(Machine Learning)

Ultratech

Position - Data Scientist
Cover Letter: https://drive.google.com/file/d/1XN5u0l6aum2uSOee46HsGe558Ch1He26/view?usp=sharing

Gupshup

Position - NLP Engineer
Official Letter: https://drive.google.com/file/d/1WU_lhAOGMbgIg0llrA2pqgzYIfxkarwR/view?usp=sharing

Edunnovate Technologies:

This contains mini-course on Machine Learning, I built for this startup
I built a 8 week course for this ed-tech startup which consists of various projects assignment, solved by me. I've build this repo by my own from scratch. https://github.com/ShivamModi09/Edunnovate-Technologies-Data-Science

CloudyML:

Position(May 2021 - November 2021) - Curriculum Content Developer
Internship Letter: https://drive.google.com/file/d/1j8QsP81RdFHSA0Ux0UqhsEEgZe7DIAif/view?usp=sharing

CloudyML Assignments:

This contains the list of data science assignments, I built for CloudyML

1. Feature Engineering: https://colab.research.google.com/drive/1QHKXzClhBAMiHONPmI8ExySsRE-rHURH
2. Python Assignment: https://colab.research.google.com/drive/1b5ncR45zNsUXNca-lC_ZteeJ2gjcYSnX?usp=sharing
3. Statistics: https://colab.research.google.com/drive/1Yu_dvLndKrAYQyc87yB8KedPuvDYKrfI?usp=sharing
4. Neural Networks DL1 : https://colab.research.google.com/drive/1FTOxuru2Ub3cjIhOr0OBWDqcF6FTHXgT?usp=sharing
5. Computer Vision DL2 : https://colab.research.google.com/drive/1q1_-1cuZPwStO0vlNyJGF3cn83qfuorf?usp=sharing
6. Natural Language Processing DL3 : https://colab.research.google.com/drive/10oBK5BKKK-YI6KBYhPQQlhioTO9mJKQV?usp=sharing
7. Time Series Analysis DL4 : https://colab.research.google.com/drive/1ZF2Sx5wgLNKcS4G0KZomuM5cEQ_dSqQ-

CloudyML video lectures:

This contains folders of Machine Learning Algorithms & Data Analytics video lectures I made during my intern, any folder may contain more than one video. These vidoes are uploaded on YouTube as well but here, you can view them through my personal links

1. Decision Tree: https://drive.google.com/drive/folders/1WgZXnFjrOPAcLRnMUb_z7W9r1qkiH_s-
2. K-Nearest Neighbours: https://drive.google.com/file/d/1XgVPKZvQTg-mItm-VhG9wFYiJBmVkZf2/view?usp=drivesdk
3. Principal Component Analysis: https://drive.google.com/drive/folders/1ER8lYLgT9naXPgh4UutKb7wwQa1JmQWM?usp=sharing
4. Naive Bayes: https://drive.google.com/file/d/1WwKdhL36u4c7JOCjF4NC_I4H4tbzYQkI/view?usp=sharing
5. Data Cleaning: https://docs.google.com/spreadsheets/d/1PORP72v8KAU4ktSqCOekfoV5cFNPmdjfz0eRd8eCIEc/edit?usp=sharing

ONMYOWNTECHNOLOGY(OMOTECH)

Position(November 2021 - January 2022): Data Scientist

1. Unemployment rate Analysis: https://drive.google.com/file/d/1TQRv8Jvc2gMZ0iQAdu6AUv4EuKfLkBE5/view?usp=sharing
2. Cryptocurrencies Investment Analysis: https://drive.google.com/file/d/1Kdr0neRxjEEdPQROC9Jd9Ks5OXTImysO/view

Self-Projects

This contains the codes of various machine learning algorithms in python which I've practiced.

Click on the google colab link to view them:

1. Facial Emotion Recognition: https://colab.research.google.com/drive/1AEoEQyU270SrvYy2W_RP5v8LpXvTH4Co?usp=sharing
2. Speech Emotion Recognition: https://colab.research.google.com/drive/1IbB3neVqwdHEFZmyRvMBs0gSEDXSSw1_?usp=sharing
3. GNR-638 Project Image Classification: https://colab.research.google.com/drive/1g1WA8JYjJlGJTuuewH-xbMoPkrzPJfyW?usp=sharing
4. Neural Style Transfer: https://colab.research.google.com/drive/1o03Q-Uuk3Wq8QCD1_qyo59Md5YadvNvc?usp=sharing
5. Fashion Apparel Recognizer(PyTorch): https://colab.research.google.com/drive/11-i0HKTf-OMccB4P8BGr7KK6dx4oXkl1?usp=sharing
6. Invisible Cloak: https://drive.google.com/file/d/1vjSjMv96JPHmjsBK5tKwg8z_GsHiNkli/view?usp=sharing
7. Logistic Regression- Placement Data by Kaggle: https://colab.research.google.com/drive/1PpWLuUrnsN8S699XX0U2HASuToAtvNMS
8. Titanic Dataset- Kaggle Completition: https://colab.research.google.com/drive/1U57lxLQ2sMIv4j_YPRoCIVw78186iWn6?usp=sharing
9. CIFAR-10: https://drive.google.com/file/d/1CkubVubIRTX1papeF6IJXFl4SMBTw03V/view?usp=sharing
10. MNIST: https://colab.research.google.com/drive/1NWoOf9sgUM2vp3RkjRYJAEYg1d2CNb8h?usp=sharing
11. GNR(Satellite Image Analysis): https://colab.research.google.com/drive/1WImOy9-rdoBW5Evdvqsx_iqgaxF7DwJr?usp=sharing
12. FashionMNIST: https://colab.research.google.com/drive/1iEHAIFCHQiKDLUKVS2SS-OfG_UAKF6sc?usp=sharing
13. Fire Dataset- Kaggle: https://colab.research.google.com/drive/1ZdtMH5agThezAhd2_ydxgWnivigXE_MK?usp=sharing
14. Naive Bayes - Spambase dataset: https://colab.research.google.com/drive/14yPgmY4_KYs6HZPbNUvvDDVGmHEdGPnk?usp=sharing
15. GridSearchCV - Churn data: https://colab.research.google.com/drive/1zPVdA8xkdMk-vmXUnu0o5M85LTn1SsKB?usp=sharing
16. Decision Tree- Drug Dataset: https://colab.research.google.com/drive/1P6pkP1flb81Uu1vIX5ovjfw2qrXVANrD
17. DT - Pruning - Breast Cancer data: https://colab.research.google.com/drive/1cEXiu6uocCsOKo5bB9rOy3DVBlEM6lqA?usp=sharing
18. PCA implementation - https://colab.research.google.com/drive/1sNc7pqtSA0nrPv9YmsbldaEHbFI6Wpho?usp=sharing
19. SVM- Cancer Cell Samples: https://colab.research.google.com/drive/1zYORca4CtQt8CZs91EUMIXquYhsnGxC8
20. Logistic Regression- Churn Data: https://colab.research.google.com/drive/1GS8br04in2No3fGGOfLw7wuOin15LXSw