Aniruddha Pal
Data Scientist | Machine Learning, Predictive Modeling, Data Analysis | Kaggle Notebook Expert | I Help Organizations Harness Data for Strategic Impact, Achieving a 20% Increase in Revenue
- Role
- Data Scientist at Upwork
- Location
- Kolkata, WB, IN
- LinkedIn followers
- 500 followers
About Aniruddha Pal
I am a Data Scientist who helps organizations turn data into measurable business outcomes…
Experience
Data Scientist
Feb 2020 — Present · Kolkata, IN
Analyse Growth and Present Insights to the Telangana Government : Created Dashboard and Conducted in-depth data analysis of Telangana\'s economic landscape, utilizing Python,PowerBI.Presented key growth sectors offering actionable insights for informed decision-making and highlighting the state\'s thriving economy.• Customer Segmentation for Personalized Marketing Strategy : Created Customer Segmentation for Personalized Marketing Strategy using Gausian Mixture, Apriori and Assosiation Rules.This project aims to analyze customer behavior data to create targeted and personalized marketing strategies. • Created Content Based Movie Recommendation System and Deployed successfully it in Amazon AWS EC2 : This is a Movie Recommender System using NLP-Bag Of Words Technique. I have used TMDB Movie Dataset with movie details. This program will accept a movie and display 5 similar movies to watch using Stemming, Count Vectorization and Cosine Distance. Achieved RMSE score of 0.92.• Achieved 84%-86% F1 Score in \"Bank Customer Churn\" Project using ANN with Tensorflow & Keras.• Achieved a top ranking in the \"Mayo Clinic - STRIP AI\" competition, ranking among the top for image classification of stroke blood clot origin using CNN. • Secured a top ranking in the Insurance Policy Claim Prediction Kaggle competition, placing among the top 44%(845/1942) using ANN with TensorFlow & Keras. • Created Bit Coin Closing Price Prediction ML Model Project using Time Series Analysis.• Designed and implemented an efficient ETL pipeline resulting in a 50% reduction in data processing time while ensuring data accuracy.
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