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Looking for candidates for the role of AI/ML Developer (Computer Vision). If interested or you know someone who is a good fit. Please mail your resume at rohan.kaveri@conmove.io

Job Description: AI/ML Developer (Computer Vision)

Position: AI/ML Developer (Computer Vision)

Location: Viman Nagar,Pune

Job Type: Full-time

Responsibilities:

Collaborate with cross-functional teams to understand project requirements and objectives.
Develop and implement computer vision algorithms for object detection and recognition.
Train and fine-tune machine learning models using state-of-the-art techniques.
Evaluate model performance and iterate on improvements.
Utilize Python programming language and relevant libraries/frameworks (e.g., TensorFlow, PyTorch) for model development.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Strong understanding of machine learning fundamentals and algorithms.
Proficiency in Python programming language.
Knowledge of computer vision concepts and techniques.
Experience with deep learning frameworks such as PyTorch.
Familiarity with object detection models (e.g., YOLO)
Ability to work collaboratively in a team environment.
Excellent problem-solving and analytical skills.
Experience with PowerBI or other BI tools is a plus, but not required.
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@Codingdidi pinned ยซComplete Series to learn pandas!! Utilities this weekend to learn pandas! ๐Ÿ˜‰ Day-1 introduction to pandas,series and dataframe. English:- https://youtu.be/lrEk0RcpPzc?si=XjJyuarbBnhRh3kB Hindi https://youtu.be/mNGnGyIP9nw?si=_5SWLgchpS859VoB Day-2 createsโ€ฆยป
Coming live in 20 min for your queries.!

Link is here
https://youtube.com/@codingdidi-hindi?si=5w6wfM2i_mel2cfp

Let's chat at 9:00pm
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50 ๐จ๐Ÿ ๐ญ๐ก๐ž ๐ฆ๐จ๐ฌ๐ญ ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ๐š๐ง๐ญ ๐„๐ฑ๐œ๐ž๐ฅ ๐Ÿ๐จ๐ซ๐ฆ๐ฎ๐ฅ๐š๐ฌ ๐ญ๐ก๐š๐ญ ๐œ๐š๐ง ๐ก๐ž๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฉ๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ ๐ฏ๐š๐ซ๐ข๐จ๐ฎ๐ฌ ๐ญ๐š๐ฌ๐ค๐ฌ ๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐ญ๐ฅ๐ฒ.


S๐”๐Œ: Adds up numbers in a range.
๐€๐•๐„๐‘๐€๐†๐„: Calculates the average of numbers in a range.
๐Œ๐€๐—: Returns the largest number in a range.
๐Œ๐ˆ๐: Returns the smallest number in a range.
๐‚๐Ž๐”๐๐“: Counts the number of cells that contain numbers in a range.
๐‚๐Ž๐”๐๐“๐€: Counts the number of non-empty cells in a range.
๐ˆ๐…: Checks if a condition is met and returns one value if true and another value if false.
๐•๐‹๐Ž๐Ž๐Š๐”๐: Searches for a value in the first column of a table and returns a value in the same row from another column.
๐‡๐‹๐Ž๐Ž๐Š๐”๐: Similar to VLOOKUP, but searches for a value in the first row of a table.
๐ˆ๐๐ƒ๐„๐—: Returns the value of a cell in a specific row and column of a range.
๐Œ๐€๐“๐‚๐‡: Returns the relative position of an item in a range.
๐‚๐Ž๐๐‚๐€๐“๐„๐๐€๐“๐„: Joins two or more text strings into one string.
๐‹๐„๐…๐“: Returns the leftmost characters from a text string.
๐‘๐ˆ๐†๐‡๐“: Returns the rightmost characters from a text string.
๐‹๐„๐: Returns the number of characters in a text string.
๐“๐‘๐ˆ๐Œ: Removes leading and trailing spaces from a text string.
๐”๐๐๐„๐‘: Converts text to uppercase.
๐‹๐Ž๐–๐„๐‘: Converts text to lowercase.
๐๐‘๐Ž๐๐„๐‘: Capitalizes the first letter of each word in a text string.
๐“๐„๐—๐“: Formats a number or date value as text using a specified format.
๐ƒ๐€๐“๐„: Returns the serial number of a particular date.
๐“๐Ž๐ƒ๐€๐˜: Returns the current date.
๐๐Ž๐–: Returns the current date and time.
๐ƒ๐€๐“๐„๐ƒ๐ˆ๐…: Calculates the difference between two dates in years, months, or days.
๐„๐Ž๐Œ๐Ž๐๐“๐‡: Returns the last day of the month, n months before or after a given date.
๐‘๐Ž๐”๐๐ƒ: Rounds a number to a specified number of digits.
๐‘๐Ž๐”๐๐ƒ๐”๐: Rounds a number up, away from zero, to the nearest multiple of significance.
๐‘๐Ž๐”๐๐ƒ๐ƒ๐Ž๐–๐: Rounds a number down, toward zero, to the nearest multiple of significance.
๐ˆ๐…๐„๐‘๐‘๐Ž๐‘: Returns a value you specify if a formula evaluates to an error, otherwise returns the result of the formula.
๐’๐”๐Œ๐ˆ๐…: Adds the cells specified by a given condition or criteria.
๐’๐”๐Œ๐ˆ๐…๐’: Adds the cells in a range that meet multiple criteria.
๐€๐•๐„๐‘๐€๐†๐„๐ˆ๐…: Calculates the average of cells specified by a given condition or criteria.
๐€๐•๐„๐‘๐€๐†๐„๐ˆ๐…๐’: Calculates the average of cells that meet multiple criteria.
๐‚๐Ž๐”๐๐“๐ˆ๐…: Counts the number of cells specified by a given condition or criteria.
COUNTIFS: Counts the number of cells that meet multiple criteria.
RAND: Returns a random number between 0 and 1.
RANDBETWEEN: Returns a random number between the numbers you specify.
PI: Returns the value of pi (3.14159265358979).
POWER: Raises a number to a power.
SQRT: Returns the square root of a number.
LOG: Returns the logarithm of a number to the base you specify.
EXP: Returns e raised to the power of a given number.
MOD: Returns the remainder of a division operation.
INT: Rounds a number down to the nearest integer.
ABS: Returns the absolute value of a number.
AND: Returns TRUE if all its arguments are TRUE, and FALSE otherwise.
OR: Returns TRUE if any argument is TRUE, and FALSE otherwise.
NOT: Returns the opposite of a logical value.
SUMPRODUCT: Multiplies corresponding components in the given arrays, and returns the sum of those products.
TRANSPOSE: Transposes rows and columns in a range of cells.


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โš ๏ธHiring โš ๏ธ

Rocket Learning is #hiring for Data Analytics Intern (paid).

Skills: SQL, Excel, etc.

Send your resume at
eklavya.s@rocketlearning.org
Pandas and Numpy Interview Questions for Data/ Business Analysts

Question 1: You have a NumPy array representing student grades. How would you filter the array to extract only the grades above a certain threshold?

Question 2: Explain the difference between 'drop_duplicates()' and 'duplicated()' methods in Pandas. Provide a code example demonstrating their usage.

Question 3: Describe the usage of 'at' and 'iat[]' in Pandas for accessing DataFrame elements. How do they differ from 'loc[]' and 'iloc[]'?

Question 4: You have a DataFrame containing sales data with columns 'ProductID', 'Category', and 'Sales'. How would you use the 'groupby()' method to calculate total sales for each category?

Question 5: Discuss the benefits of using list comprehensions over traditional for loops in Python. Can you provide an example where list comprehensions improve code readability and efficiency?

Question 6: What is the purpose of the 'apply()' function in Pandas? Can you provide a scenario where it's advantageous over other methods?

Question 7: You are provided with a Pandas DataFrame that contains a column with date strings. How would you convert this column to a datetime format? Additionally, how would you extract the month and year from these datetime objects?

Question 8: Describe how to perform array indexing and slicing in NumPy. Provide examples demonstrating different indexing and slicing techniques.

Question 9: You have a DataFrame containing columns 'Name', 'Age', and 'Gender'. How would you filter the DataFrame to extract only the rows where Age is greater than 30 and Gender is 'Female'?

Question 10: Describe the benefits of using the 'pd.merge()' function over other methods like 'DataFrame.join()' for merging DataFrames in Pandas. Can you provide a scenario where 'pd.merge()' is advantageous?


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American Express is hiring for Data Analyst Role
๐Ÿ‘‡๐Ÿ‘‡
https://aexp.eightfold.ai/careers/job/21932982
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5 Excel Portfolio Based project


https://www.instagram.com/reel/C6p-EwOLk_r/?igsh=MWpqd3N4N21ub3Q1Mw==




1. Excel Data Analytics project for Portfolio - Finance Domain

Part 1: https://youtu.be/3Acmk-rqn6c?si=Nh4ahb5t5BxcvbZJ

Part 2: https://youtu.be/yzaLl-BvHnc?si=N-7VDNuLxDjB-CUJ


2. Full Project in Excel

https://www.youtube.com/watch?v=opJgMj1IUrc&t=1s

3. EXCEL PORTFOLIO PROJECT

https://www.youtube.com/watch?v=m13o5aqeCbM

4. Full Project in Excel with Interactive Dashboard

https://www.youtube.com/watch?v=gTK5rNhWJyA

5. Hotel Booking Cancellation Project Using Data Analytics & Excel

https://www.youtube.com/watch?v=Cq-w8AGLLzc



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โš ๏ธHyderabad applicants!!

S&P Global is hiring!
Position: Data Analyst
Qualification: Bachelorโ€™s/ Master's/ MBA
Salary: 6 - 9 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Hyderabad, India

๐Ÿ“ŒApply Now: https://careers.spglobal.com/jobs/300706?lang=en-us&utm_source=linkedin
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๐Ÿ”” Microsoft is hiring ๐Ÿคฉ

* ๐Ÿ’ป Role: | Data Analyst
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* ๐Ÿ’ธ Salary: | Upto โ‚น20 LPA
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* ๐Ÿ“Location: | Hyderabad
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* ๐Ÿ˜Œ Experience: | Freshers
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* ๐Ÿ‘จโ€๐ŸŽ“ Qualification: | Graduation
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* Batch: | 2023-24
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- โœ… Apply here: https://jobs.careers.microsoft.com/global/en/job/1716104/Data-Analyst
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