Check out this job at American Express: https://www.linkedin.com/jobs/view/3997649731

Conve Genius hiring for a Data Analyst position in Bengaluru

Experience: 2 to 5 years.

Skills Required: MS Excel, SQL, Power BI

Location: Bengaluru, Karnataka School Education Department

Notice Period: Immediate to 30 days


https://convegenius.keka.com/careers/jobdetails/51999/ca6ed03a-bccb-411a-9370-eb89851f844d

MongoDB is hiring Data Engineer intern

For 2024, 2025 grads
Location: Gurugram

https://www.mongodb.com/careers/jobs/6075710

Company: Midtown Software
Role: Data Analyst
Exp: Fresher
Apply Now: https://www.linkedin.com/jobs/view/3981803556

Company: Amgen
Role: Data Scientist
Exp: 3-5 yrs
Apply Now: https://careers.amgen.com/en/job/-/-/87/68581883200?src=Linkedin

Company: Lenskart
Role: Data Analyst
Exp: 2-5 yrs
Apply Now: https://www.naukri.com/job-listings-data-analyst-lenskart-gurugram-bengaluru-2-to-5-years-120824003491

Turing is hiring for Python Data Science Analyst- Remote
Experience: 2 - 3 years
Expected salary: 12 LPA - 20 LPA
Apply Link: https://unstop.com/o/my8xn16?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl

Company: Novartis
Role: Expert Data Science
Exp: 1-3 yrs
Apply Now: https://www.novartis.com/careers/career-search/job/details/req-10012872-expert-data-science

Brillio is hiring for ML Engineer
Expected Salary: 8-12 LPA

Apply here: https://jobs.lever.co/brillio-2/390c2eaf-f820-461d-b119-388c0078afa5/

Support Star Corporate Services Pvt Ltd Hiring for Data Engineer.(Kindly Share who have 7+ years of exp only )

Skills - PySpark & Azure Databricks
Python And SQL

Exp - 7 to 12 Years
Work Location - Bangalore
Work Mode - Hybrid

Please share profiles at jasneet@supportstar.in || jasneet.sscs@gmail.com

Granicus is hiring Data Scientist

About the Role: We're looking for candidates who have:

* 4-7 years of experience in data science, machine learning, or a relevant field.
* Proficiency in Python and extensive experience with libraries such as TensorFlow, PyTorch, and Scikit-learn.
* A proven track record of delivering production-ready AI/ML solutions.
* Strong expertise in machine learning and deep learning algorithms and techniques.
* Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib).
* Experience with cloud platforms and big data technologies (e.g., AWS).
* Experience with Generative AI


Apply here: https://jobs.lever.co/granicus/6a7ee63e-0ff4-40b7-8a3c-7a32a115147c

Check out this job at McKinsey & Company: https://www.linkedin.com/jobs/view/3918419227

Machine Learning Study Plan: 2024

|-- Week 1: Introduction to Machine Learning
| |-- ML Fundamentals
| | |-- What is ML?
| | |-- Types of ML
| | |-- Supervised vs. Unsupervised Learning
| |-- Setting up for ML
| | |-- Python and Libraries
| | |-- Jupyter Notebooks
| | |-- Datasets
| |-- First ML Project
| | |-- Linear Regression
|
|-- Week 2: Intermediate ML Concepts
| |-- Classification Algorithms
| | |-- Logistic Regression
| | |-- Decision Trees
| |-- Model Evaluation
| | |-- Accuracy, Precision, Recall, F1 Score
| | |-- Confusion Matrix
| |-- Clustering
| | |-- K-Means
| | |-- Hierarchical Clustering
|
|-- Week 3: Advanced ML Techniques
| |-- Ensemble Methods
| | |-- Random Forest
| | |-- Gradient Boosting
| | |-- Bagging and Boosting
| |-- Dimensionality Reduction
| | |-- PCA
| | |-- t-SNE
| | |-- Autoencoders
| |-- SVM
| | |-- SVM
| | |-- Kernel Methods
|
|-- Week 4: Deep Learning
| |-- Neural Networks
| | |-- Introduction
| | |-- Activation Functions
| |-- (CNN)
| | |-- Image Classification
| | |-- Object Detection
| | |-- Transfer Learning
| |-- (RNN)
| | |-- Time Series
| | |-- NLP
|
|-- Week 5-8: Specialized ML Topics
| |-- Reinforcement Learning
| | |-- Markov Decision Processes (MDP)
| | |-- Q-Learning
| | |-- Policy Gradient
| | |-- Deep Reinforcement Learning
| |-- NLP and Text Analysis
| | |-- Text Preprocessing
| | |-- Named Entity Recognition
| | |-- Text Classification
| |-- Computer Vision
| | |-- Image Processing
| | |-- Object Detection
| | |-- Image Generation
| | |-- Style Transfer
|
|-- Week 9-11: Real-world App and Projects
| |-- Capstone Project
| | |-- Data Collection
| | |-- Model Building
| | |-- Evaluation and Optimization
| | |-- Presentation
| |-- Kaggle Competitions
| | |-- Data Science Community
| |-- Industry-based Projects
|
|-- Week 12: Post-Project Learning
| |-- Model Deployment
| | |-- Docker
| | |-- Cloud Platforms (AWS, GCP, Azure)
| |-- MLOps
| | |-- Model Monitoring
| | |-- Model Version Control
| |-- Continuing Education
| | |-- Advanced Topics
| | |-- Research Papers
| | |-- New Dev
|
|-- Resources and Community
| |-- Online Courses (Coursera, 365datascience)
| |-- Books (ISLR, Introduction to ML with Python)
| |-- Data Science Blogs and Podcasts
| |-- GitHub Repo
| |-- Data Science Communities (Kaggle)

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

Credits: https://news.1rj.ru/str/datasciencefun

Like if you need similar content 😄👍

ENJOY LEARNING 👍👍

Accenture is hiring!
Position: Data Science
Experience: Freshers/ Experienced

https://www.accenture.com/in-en/careers/jobdetails?src=LINKEDINJP&id=R00221899_en

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Company – EstateDekho
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