mohammed arifuddin atif

Senior Data Scientist at Impact Analytics, focusing on analytics, machine learning, and GenAI solutions.

Data Scientist at Loyalytics AI, applying machine learning and analytics to drive business insights.

Reverse Engineering Model: Created and fine-tuned a prediction model to reduce the lag period in credit card disbursals with an approval rate of 96% thereby reducing marketing cost. Presaged customer approval before receiving the stamping file, enabling 2 times faster and more efficient marketing decisions, thus reducing the potential loss of customer interest.

Opportunity Analysis: Designed and

Data Science Intern at AlmaBetter, gaining hands-on experience in data science and machine learning.

Gist of the project:

1. Built an app that detects the sentiment of the online classroom using live video from the webcam and
real-time aggregated feedback to the instructors about the class.
2. Employed essential image preprocessing techniques such as image augmentation, Pixel brightness
transformations, etc. to improve image quality for better prediction.
3. Deployed quantized model on

Gist of the project:

1. Developed a product recommendation system for customers using content based filtering by utilizing
the description of products consumed by users.
2. Used Popularity based model to generate average rating of product. Also used Surprise library to give a
boost to collaborative model.
3. Implemented K-means algorithm and SVD and also further tuned the model using Gr

Gist of the project:

1. Developed a sentiment classification model to predict the portrayed sentiment behind a tweet.
2. Performed feature engineering on the given data to generate a new attribute which provides better
accuracy for the model.
3. Experimented with TF-IDF and CountVectorizer methods which tokenizes the words in the dataset to
better predict the sentiments.
4. Performed ev

Gist of the project:

1. Developed a model which estimates the demand of bikes so as to decrease waiting time.
2. Checked for Multicollinearity and encoded the categorical columns. Also dealt with missing values and
handled outliers.
3. Implemented and tested with different algorithms like Linear Regression, Decision Trees Regression and
Extra Trees Regression with different evaluation m

Bachelor of Technology in Mechanical Engineering from Vardhaman College of Engineering, 2015-2019.