Anirudh Dyaga

Accomplished Data Scientist with a passion for delivering valuable data through analytical functions and data retrieval methods. Committed to helping companies advance by helping them to develop strategic plans based on predictive modelling and findings. Bringing forth a proven track record of analyzing complex data sets and serving as a strong advisor.

Jun 2021 — Aug 2022 Capstone project - Fake job identification using ML:

• A project to identify fake jobs by using ‘Text processing analysis (NLP),’ which includes vectorization,
• Feature engineering to find the “Fake job postings” as a part of capstone project in PG Diploma.
• Key skills: NLP, EDA, Ensemble techniques (boosting: ADA, XG & bagging: Random Forest), KNN.

Major project - SALES PREDICTION ALGORITHM:

• Worked on “supervised Machine learning: Regression project”; to predict and interpret the sales of a dataset
• And attained a model score around 85%.
• Key skills: Python, Data wrangling and cleaning, Supervised learning – Regression, Feature engineering.

Mini project - IPL DATA ANALYSIS:

• Conducted team analysis on all playing teams based on their performance in home and away matches and
• Predicted winning probability.
• Key skills: Classification, Logistic regression.

• Coursera IBM certified supervised machine learning: Regression.
• Coursera IBM certified Exploratory Data analysis.
• Hacker-Rank certified SQL professional.
• Hacker-Rank certified Advanced-SQL professional.
• Supervised Machine Learning with Logistic Regression and Naïve Bayes.