Forwarded from Python for Data Analysts
𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝟯𝟬-𝗗𝗮𝘆 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗝𝗼𝘂𝗿𝗻𝗲𝘆😍
📊 If I had to restart my Data Science journey in 2025, this is where I’d begin✨️
Meet 30 Days of Data Science — a free and beginner-friendly GitHub repository that guides you through the core fundamentals of data science in just one month🧑🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mfNdXR
Simply bookmark the page, pick Day 1, and begin your journey✅️
📊 If I had to restart my Data Science journey in 2025, this is where I’d begin✨️
Meet 30 Days of Data Science — a free and beginner-friendly GitHub repository that guides you through the core fundamentals of data science in just one month🧑🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mfNdXR
Simply bookmark the page, pick Day 1, and begin your journey✅️
❤1
Forwarded from Python for Data Analysts
𝟳 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗦𝗤𝗟 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗘𝘃𝗲𝗿𝘆 𝗔𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗦𝗵𝗼𝘂𝗹𝗱 𝗠𝗮𝘀𝘁𝗲𝗿😍
If you’re serious about becoming a data analyst, there’s no skipping SQL. It’s not just another technical skill — it’s the core language for data analytics.📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/44S3Xi5
This guide covers 7 key SQL concepts that every beginner must learn✅️
If you’re serious about becoming a data analyst, there’s no skipping SQL. It’s not just another technical skill — it’s the core language for data analytics.📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/44S3Xi5
This guide covers 7 key SQL concepts that every beginner must learn✅️
❤1
Some essential concepts every data scientist should understand:
### 1. Statistics and Probability
- Purpose: Understanding data distributions and making inferences.
- Core Concepts: Denoscriptive statistics (mean, median, mode), inferential statistics, probability distributions (normal, binomial), hypothesis testing, p-values, confidence intervals.
### 2. Programming Languages
- Purpose: Implementing data analysis and machine learning algorithms.
- Popular Languages: Python, R.
- Libraries: NumPy, Pandas, Scikit-learn (Python), dplyr, ggplot2 (R).
### 3. Data Wrangling
- Purpose: Cleaning and transforming raw data into a usable format.
- Techniques: Handling missing values, data normalization, feature engineering, data aggregation.
### 4. Exploratory Data Analysis (EDA)
- Purpose: Summarizing the main characteristics of a dataset, often using visual methods.
- Tools: Matplotlib, Seaborn (Python), ggplot2 (R).
- Techniques: Histograms, scatter plots, box plots, correlation matrices.
### 5. Machine Learning
- Purpose: Building models to make predictions or find patterns in data.
- Core Concepts: Supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), model evaluation (accuracy, precision, recall, F1 score).
- Algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, k-means clustering, principal component analysis (PCA).
### 6. Deep Learning
- Purpose: Advanced machine learning techniques using neural networks.
- Core Concepts: Neural networks, backpropagation, activation functions, overfitting, dropout.
- Frameworks: TensorFlow, Keras, PyTorch.
### 7. Natural Language Processing (NLP)
- Purpose: Analyzing and modeling textual data.
- Core Concepts: Tokenization, stemming, lemmatization, TF-IDF, word embeddings.
- Techniques: Sentiment analysis, topic modeling, named entity recognition (NER).
### 8. Data Visualization
- Purpose: Communicating insights through graphical representations.
- Tools: Matplotlib, Seaborn, Plotly (Python), ggplot2, Shiny (R), Tableau.
- Techniques: Bar charts, line graphs, heatmaps, interactive dashboards.
### 9. Big Data Technologies
- Purpose: Handling and analyzing large volumes of data.
- Technologies: Hadoop, Spark.
- Core Concepts: Distributed computing, MapReduce, parallel processing.
### 10. Databases
- Purpose: Storing and retrieving data efficiently.
- Types: SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB, Cassandra).
- Core Concepts: Querying, indexing, normalization, transactions.
### 11. Time Series Analysis
- Purpose: Analyzing data points collected or recorded at specific time intervals.
- Core Concepts: Trend analysis, seasonal decomposition, ARIMA models, exponential smoothing.
### 12. Model Deployment and Productionization
- Purpose: Integrating machine learning models into production environments.
- Techniques: API development, containerization (Docker), model serving (Flask, FastAPI).
- Tools: MLflow, TensorFlow Serving, Kubernetes.
### 13. Data Ethics and Privacy
- Purpose: Ensuring ethical use and privacy of data.
- Core Concepts: Bias in data, ethical considerations, data anonymization, GDPR compliance.
### 14. Business Acumen
- Purpose: Aligning data science projects with business goals.
- Core Concepts: Understanding key performance indicators (KPIs), domain knowledge, stakeholder communication.
### 15. Collaboration and Version Control
- Purpose: Managing code changes and collaborative work.
- Tools: Git, GitHub, GitLab.
- Practices: Version control, code reviews, collaborative development.
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
### 1. Statistics and Probability
- Purpose: Understanding data distributions and making inferences.
- Core Concepts: Denoscriptive statistics (mean, median, mode), inferential statistics, probability distributions (normal, binomial), hypothesis testing, p-values, confidence intervals.
### 2. Programming Languages
- Purpose: Implementing data analysis and machine learning algorithms.
- Popular Languages: Python, R.
- Libraries: NumPy, Pandas, Scikit-learn (Python), dplyr, ggplot2 (R).
### 3. Data Wrangling
- Purpose: Cleaning and transforming raw data into a usable format.
- Techniques: Handling missing values, data normalization, feature engineering, data aggregation.
### 4. Exploratory Data Analysis (EDA)
- Purpose: Summarizing the main characteristics of a dataset, often using visual methods.
- Tools: Matplotlib, Seaborn (Python), ggplot2 (R).
- Techniques: Histograms, scatter plots, box plots, correlation matrices.
### 5. Machine Learning
- Purpose: Building models to make predictions or find patterns in data.
- Core Concepts: Supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), model evaluation (accuracy, precision, recall, F1 score).
- Algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, k-means clustering, principal component analysis (PCA).
### 6. Deep Learning
- Purpose: Advanced machine learning techniques using neural networks.
- Core Concepts: Neural networks, backpropagation, activation functions, overfitting, dropout.
- Frameworks: TensorFlow, Keras, PyTorch.
### 7. Natural Language Processing (NLP)
- Purpose: Analyzing and modeling textual data.
- Core Concepts: Tokenization, stemming, lemmatization, TF-IDF, word embeddings.
- Techniques: Sentiment analysis, topic modeling, named entity recognition (NER).
### 8. Data Visualization
- Purpose: Communicating insights through graphical representations.
- Tools: Matplotlib, Seaborn, Plotly (Python), ggplot2, Shiny (R), Tableau.
- Techniques: Bar charts, line graphs, heatmaps, interactive dashboards.
### 9. Big Data Technologies
- Purpose: Handling and analyzing large volumes of data.
- Technologies: Hadoop, Spark.
- Core Concepts: Distributed computing, MapReduce, parallel processing.
### 10. Databases
- Purpose: Storing and retrieving data efficiently.
- Types: SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB, Cassandra).
- Core Concepts: Querying, indexing, normalization, transactions.
### 11. Time Series Analysis
- Purpose: Analyzing data points collected or recorded at specific time intervals.
- Core Concepts: Trend analysis, seasonal decomposition, ARIMA models, exponential smoothing.
### 12. Model Deployment and Productionization
- Purpose: Integrating machine learning models into production environments.
- Techniques: API development, containerization (Docker), model serving (Flask, FastAPI).
- Tools: MLflow, TensorFlow Serving, Kubernetes.
### 13. Data Ethics and Privacy
- Purpose: Ensuring ethical use and privacy of data.
- Core Concepts: Bias in data, ethical considerations, data anonymization, GDPR compliance.
### 14. Business Acumen
- Purpose: Aligning data science projects with business goals.
- Core Concepts: Understanding key performance indicators (KPIs), domain knowledge, stakeholder communication.
### 15. Collaboration and Version Control
- Purpose: Managing code changes and collaborative work.
- Tools: Git, GitHub, GitLab.
- Practices: Version control, code reviews, collaborative development.
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
❤2
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 & 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗧𝗼𝗽 𝗝𝗼𝗯𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍
🎯 Want to Land High-Paying AI Jobs in 2025?
Start your journey with this FREE Generative AI course offered by Microsoft and LinkedIn🧑🎓✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jY0cwB
This certification will boost your resume📄✅️
🎯 Want to Land High-Paying AI Jobs in 2025?
Start your journey with this FREE Generative AI course offered by Microsoft and LinkedIn🧑🎓✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jY0cwB
This certification will boost your resume📄✅️
❤2
Struggling with Machine Learning algorithms? 🤖
Then you better stay with me! 🤓
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! 👇🏻
1️⃣ 𝗟𝗢𝗚𝗜𝗦𝗧𝗜𝗖 𝗥𝗘𝗚𝗥𝗘𝗦𝗦𝗜𝗢𝗡
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗜𝗧?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗗𝗘𝗙𝗜𝗡𝗘 𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! 😉)
✚ 𝗕𝗢𝗡𝗨𝗦 - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Then you better stay with me! 🤓
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! 👇🏻
1️⃣ 𝗟𝗢𝗚𝗜𝗦𝗧𝗜𝗖 𝗥𝗘𝗚𝗥𝗘𝗦𝗦𝗜𝗢𝗡
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗜𝗧?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗗𝗘𝗙𝗜𝗡𝗘 𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! 😉)
✚ 𝗕𝗢𝗡𝗨𝗦 - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
❤1
American Express is hiring Analyst 🚀
Min. Experience : 1 Year
Location : Gurugram
Apply link : https://aexp.eightfold.ai/careers/job/30504056?hl=en&utm_source=linkedin&domain=aexp.com
👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
Min. Experience : 1 Year
Location : Gurugram
Apply link : https://aexp.eightfold.ai/careers/job/30504056?hl=en&utm_source=linkedin&domain=aexp.com
👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
👍1
Gartner is hiring Associate Data Scientist 🚀
Experience : 0-3 Years
Location : Gurugram
Apply link : https://gartner.wd5.myworkdayjobs.com/EXT/job/Gurgaon/Associate-Data-Scientist_101739-1/apply?source=JB-10120
👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
Experience : 0-3 Years
Location : Gurugram
Apply link : https://gartner.wd5.myworkdayjobs.com/EXT/job/Gurgaon/Associate-Data-Scientist_101739-1/apply?source=JB-10120
👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
👍1
Dell Technologies is hiring!
Position: Data Scientist
Qualifications: Bachelor’s/ Master's Degree/ PhD
Salary: 7 - 19 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore/ Hyderabad
📌Apply Now: https://jobs.dell.com/en/job/bengaluru/data-scientist/375/84532530736
👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉 Telegram Channel: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best! 👍👍
Position: Data Scientist
Qualifications: Bachelor’s/ Master's Degree/ PhD
Salary: 7 - 19 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore/ Hyderabad
📌Apply Now: https://jobs.dell.com/en/job/bengaluru/data-scientist/375/84532530736
👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉 Telegram Channel: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best! 👍👍
❤3
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
𝟲 𝗙𝗿𝗲𝗲 𝗙𝘂𝗹𝗹 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗮𝘁𝗰𝗵 𝗥𝗶𝗴𝗵𝘁 𝗡𝗼𝘄😍
Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
Whether you want to code in Python, hack ethically, or build your first Android app — these videos are your shortcut to real tech skills📱💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42V73k4
Save this list and start crushing your tech goals today!✅️
Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
Whether you want to code in Python, hack ethically, or build your first Android app — these videos are your shortcut to real tech skills📱💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42V73k4
Save this list and start crushing your tech goals today!✅️
❤1
EY is hiring!
Position: Data Analytics - Associate
Qualifications: Bachelor's/ Master's Degree
Salary: 6 - 13 LPA (Expected)
Experience: Freshers/ Experienced
Location: Across India
📌Apply Now: https://careers.ey.com/ey/job/Kochi-Reporting-and-Data-Analytics-Associate-KL-682303/1232867801/
👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉 Telegram Channel: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best! 👍👍
Position: Data Analytics - Associate
Qualifications: Bachelor's/ Master's Degree
Salary: 6 - 13 LPA (Expected)
Experience: Freshers/ Experienced
Location: Across India
📌Apply Now: https://careers.ey.com/ey/job/Kochi-Reporting-and-Data-Analytics-Associate-KL-682303/1232867801/
👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉 Telegram Channel: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
All the best! 👍👍
❤1
Role: Tableau + SQL Developer
📍 Location: Bangalore / Hyderabad
🧠 Experience: 3 – 7 Years
🔑 Skills:
Strong expertise in Tableau and SQL
🔄 Good to have: Experience in Tableau to Power BI migration
🏢 Preferred: Candidates from Tier-1 companies
If you're looking to work on impactful projects and be part of a high-performance team — we want to hear from you!
Please share your Resume to divyam@psrtek.com
📍 Location: Bangalore / Hyderabad
🧠 Experience: 3 – 7 Years
🔑 Skills:
Strong expertise in Tableau and SQL
🔄 Good to have: Experience in Tableau to Power BI migration
🏢 Preferred: Candidates from Tier-1 companies
If you're looking to work on impactful projects and be part of a high-performance team — we want to hear from you!
Please share your Resume to divyam@psrtek.com
❤1
Forwarded from Python for Data Analysts
𝟯 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to earn free certificates and badges from Microsoft? 🚀
These courses are your golden ticket to mastering in-demand tech skills while boosting your resume with official Microsoft credentials🧑💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mlCvPu
These certifications will help you stand out in interviews and open new career opportunities in tech✅️
Want to earn free certificates and badges from Microsoft? 🚀
These courses are your golden ticket to mastering in-demand tech skills while boosting your resume with official Microsoft credentials🧑💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mlCvPu
These certifications will help you stand out in interviews and open new career opportunities in tech✅️
❤1
Hiring: Data Scientist & Senior Data Scientist 🚀
Join our dynamic team at KreditBee, one of India’s fastest-growing fintech platforms!
Location: Bangalore (Work from Office, 5 days a week)
Qualification: B.E / B.Tech in Computer Science
Experience: 2 to 6 years
Key Skills: Python, SQL, AWS, Credit risk modeling
Domain: Fintech background preferred
Notice Period: Immediate joiners or up to 30 days
Note: Finance Knowledge for model building
If you’re interested, please share your CV at
deekshitha.s@kreditbee.in
Join our dynamic team at KreditBee, one of India’s fastest-growing fintech platforms!
Location: Bangalore (Work from Office, 5 days a week)
Qualification: B.E / B.Tech in Computer Science
Experience: 2 to 6 years
Key Skills: Python, SQL, AWS, Credit risk modeling
Domain: Fintech background preferred
Notice Period: Immediate joiners or up to 30 days
Note: Finance Knowledge for model building
If you’re interested, please share your CV at
deekshitha.s@kreditbee.in
❤2
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
𝟲 𝗙𝗿𝗲𝗲 𝗙𝘂𝗹𝗹 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗮𝘁𝗰𝗵 𝗥𝗶𝗴𝗵𝘁 𝗡𝗼𝘄😍
Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
Whether you want to code in Python, hack ethically, or build your first Android app — these videos are your shortcut to real tech skills📱💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42V73k4
Save this list and start crushing your tech goals today!✅️
Ready to level up your tech game without spending a rupee? These 6 full-length courses are beginner-friendly, 100% free, and packed with practical knowledge📚🧑🎓
Whether you want to code in Python, hack ethically, or build your first Android app — these videos are your shortcut to real tech skills📱💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42V73k4
Save this list and start crushing your tech goals today!✅️
❤2
🚀 We’re Hiring: Senior Data Engineer | Remote | First American (India)
Do you thrive on building scalable data platforms and solving complex data challenges ?
Join First American (India) as a Senior Data Engineer and play a key role in:
🔹 Operationalizing our Databricks Lakehouse on Azure
🔹 Designing robust data pipelines using Python, Scala, Java, or C#
🔹 Working with tools like Spark, Kafka, Airflow, and more
🔹 Collaborating with cross-functional teams of analysts and engineers
🔹 Ensuring high data quality, consistency, and observability
We’re looking for someone with:
✅ 7+ years in data engineering
✅ Experience with Databricks, Snowflake, Big Query, Hive, and Spark
✅ Knowledge of containerized environments like Docker or Kubernetes
✅ A strong grasp of data orchestration tools like Apache Airflow
🔗 Apply Now or Reach Out to Me Directly!
https://firstam.wd1.myworkdayjobs.com/faicareers/job/IND-Karnataka-Bangalore/Data-Engineering--SSEII_R051271
Do you thrive on building scalable data platforms and solving complex data challenges ?
Join First American (India) as a Senior Data Engineer and play a key role in:
🔹 Operationalizing our Databricks Lakehouse on Azure
🔹 Designing robust data pipelines using Python, Scala, Java, or C#
🔹 Working with tools like Spark, Kafka, Airflow, and more
🔹 Collaborating with cross-functional teams of analysts and engineers
🔹 Ensuring high data quality, consistency, and observability
We’re looking for someone with:
✅ 7+ years in data engineering
✅ Experience with Databricks, Snowflake, Big Query, Hive, and Spark
✅ Knowledge of containerized environments like Docker or Kubernetes
✅ A strong grasp of data orchestration tools like Apache Airflow
🔗 Apply Now or Reach Out to Me Directly!
https://firstam.wd1.myworkdayjobs.com/faicareers/job/IND-Karnataka-Bangalore/Data-Engineering--SSEII_R051271
❤1
Forwarded from Data Analytics
𝟱 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!)😍
Ready to Upgrade Your Skills for a Data-Driven Career in 2025?📍
Whether you’re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more👨💻🎯
𝐋𝐢𝐧𝐤👇:-
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Best For: Beginners ready to dive into real machine learning✅️
Ready to Upgrade Your Skills for a Data-Driven Career in 2025?📍
Whether you’re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more👨💻🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mwOACf
Best For: Beginners ready to dive into real machine learning✅️
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Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
𝟯 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗶𝗻 𝟮𝟬𝟮𝟱😍
If you’ve ever thought, “Can I actually build something useful with AI?” — the answer is yes, and you don’t need to be a genius to start.✨️📊
These 3 open-source projects on GitHub are proof of what you can build with just basic coding knowledge and a passion for learning.🧑💻💥
𝐋𝐢𝐧𝐤👇:-
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Build your own AI agent that remembers conversations and gets smarter over time.✅️
If you’ve ever thought, “Can I actually build something useful with AI?” — the answer is yes, and you don’t need to be a genius to start.✨️📊
These 3 open-source projects on GitHub are proof of what you can build with just basic coding knowledge and a passion for learning.🧑💻💥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45jKiXe
Build your own AI agent that remembers conversations and gets smarter over time.✅️
❤2
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟯 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗠𝗼𝗱𝘂𝗹𝗲𝘀!😍
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Want to get into AI and Machine Learning using Azure but don’t know where to begin?📊📌
𝐋𝐢𝐧𝐤👇:-
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These official Microsoft Learn modules are all you need — hands-on, beginner-friendly, and backed with certificates🧑🎓📜
Start Mastering Azure Machine Learning — 100% Free!💥
Want to get into AI and Machine Learning using Azure but don’t know where to begin?📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45oT5r0
These official Microsoft Learn modules are all you need — hands-on, beginner-friendly, and backed with certificates🧑🎓📜
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