Anubhav Anand
Senior Member Of Technical Staff at Oracle
Varanasi, Uttar Pradesh, India
Summary
👤
Senior🎓
Top SchoolAnubhav Anand is a Senior Member of Technical Staff at Oracle with eight years of hands-on experience building software and machine learning solutions across fintech, analytics, and consumer apps. He holds an integrated BTech+MTech in Mathematics and Computing from IIT (BHU) and is proficient in C/C++, Java, SQL, data structures, and algorithms, with practical experience deploying supervised and unsupervised ML models. His background includes clustering UPI complaint logs at Samsung Pay, improving fraud-claim detection accuracy using Random Forests, and research on human–robot intimacy estimation using multimodal signals. Equally comfortable in production engineering and data science, he brings a rigorous mathematical foundation to real-world problems and a track record of lifting model performance in noisy, operational datasets.
8 years of coding experience
CBSE (XII), 93.2%, CBSE (XII), 93.2% at Sunbeam School, VaranasiIntegrated Dual Degree (Btech + Mtech), MATHEMATICS AND COMPUTING, 9.26 CGPA, Integrated Dual Degree (Btech + Mtech), MATHEMATICS AND COMPUTING, 9.26 CGPA at Indian Institute of Technology (Banaras Hindu University), Varanasi
Hindi, English
Stackoverflow
1reputation
0reached
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Github Skills (11)
tweepy9
special-characters9
logistic-regression9
mlp-classifier9
twitter9
jupyter-notebook8
sentiment-analysis8
random-forest8
visualization7
python7
machine-learning-algorithms7
Programming languages (1)
Github contributions (5)
anubhavanand12qw/STOCK-PRICE-PREDICTION-USING-TWITTER-SENTIMENT-ANALYSIS
Nov 2018 - Sep 2021
The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.
Contributions:9 commits, 8 pushes, 1 branch in 2 years 10 months
jupyter-notebooklogistic-regressionmachine-learning-algorithmsmlp-classifierpython
anubhavanand12qw/ONLINE_CHARITY_SYSTEM
Apr 2018 - Nov 2018
Contributions:1 push in 6 months
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