Avinash Singh Email & Phone Number

Passionate Software engineer working in TCS Sydney. I started learning about the Data Science and Machine Learning Concepts and have worked on multiple data visualization and predictive algorithmic approaches right from scratch in Python. Major Tools used: Python, Jupyter Notebook, NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit Learn, Teansorflow, Google Cloud Platform, Google Colab Notebooks, Statistics, XGBoost.Data Science Projects worked on---->1. Applied Bag of Words, Tf-idf vectorization from scarth.2. Random Forest on Donor's Choose Dataset3. Gradient Boosted Decision Trees on Donor's Choose4. Microsoft Malware Classification Challenge-KaggleData Science and Machine Learning Concepts worked on---->Supervised Learning:Linear Regression, Logistic Regression, K-Nearest Neighbor(KNN), Naive Bayes, Support Vector Machines(SVM), Decision Trees.Ensemble Methods:Bagging, Boosting, Random Forests, Gradient Boosted Random Forest(GBDT), XGboost Unsupervised Learning Algorithms:K Means Clustering, Agglomerative and Divisive Clustering, Density based clustering(DBSCAN), Recommender Systems, Matrix factorization, Miscellaneous Concepts:Vectorization techniques like Bag Of Words(BoW), Tf-IDF, Word2Vec.Feature Engineering, Featurization, and Kernel Tricks,Hyperparameter tuning and Cross validation(Grid Search and Random Search),Loss functions: Log loss, hinge loss, square loss and optimizing loss function.I joined TCS in 2018 and am mapped to BFSI domain. I handle financial processes (pricing, costing settlements, reconciliations etc.) along with the tools like Hiportfolio, Accurate NXG, Smartstream TLM, and ETL tools like Informatica.I also work towards automating the manual process using VBScript, python and Java.

Listed skills include C, C++, Java, Php, and 10 others.