Engineer Data

VALLEM BALU Phone: 949-***-****

Data Engineer Mail: *********@*****.***

PROFESSIONAL SUMMARY:

To obtain a creative and challenging position in an organization that gives me an opportunity for self-improvement and leadership, while contributing to the symbolic growth of the organization with my technical, innovative and logical skills

● Engaged with the customer targeting teams to provide advanced analytical solutions using SQL, Python & Tableau.

● Expert in Machine learning algorithms Decision Tress, SVM, PCA, Linear Regression, Logistic Regression, KNN, K-Means, Random Forest, XGBoost etc.

● Models used: Logistic regression, Naive Bayes, SVM, Neural Networks, XGBoost, Random Forest, SGD classifier, RNN with bidirectional LSTM, CNN.

● Regression (Linear regression, Multiple Linear regression, Polynomial and Regularized Regression - Lasso, Elastic Net and Ridge)

● Classification (Logistic Regression, k Nearest Neighbors, Decision Trees, SVM, Ensemble methods - Bagging and Boosting)

● Clustering (Hierarchical, k-Means and PCA)

● Pre-processing: Tokenization, Stop word removal, Regular Expressions.

● Libraries used: Pandas and NumPy for Data processing, Keras and Tensor for Deep Learning, Seaborn for Visualization.

● Built Machine Learning solutions using Python libraries.

● Have got hands-on experience on structured and unstructured data.

● Worked on Natural Language Processing and Text Mining.

● Practical knowledge of Statistics and Probability.

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TECHNICAL SKILLS:

Skills Machine Learning, Deep Learning, NLP, Statistics, Python Machine Learning Data mining, Cleaning, Classification, Regressions, Statistical testing.

Languages Python

Python Library Keras, TensorFlow, PyTorch, NumPy, pandas, Sklearn. Visualization Tools Tableau, Matplotlib

Databases SQL, Excel, Ms-Office

Tools Anaconda, Jupyter notebook, Google colab notebook Modelling Regression, Decision Trees, Random Forest, Ada Boost, XG Boost, Gradient Boosting, Support Vector Machines, Stacking

and Convolutional Neural Networks (CNN), RNN,

Association rules.

EDUCATION:

BTech from Jawaharlal Nehru Technological University (JNTU), Kakinada.2019

Diploma from SBTET AP-2016

EXPERIENCE:

DECCAN INFOSYSTEMS PVT LTD

Working as DATA ENGINEER at WIPRO, CHENNAI from May-2019 to till date. Data Science Student

First Object Technologies.LTD

Data Science training in First Object Technologies.LTD it is IT Company Certificate provided in sieve software institute, Hyderabad PROJECTS:

Project:1

Problem Statement: Predict the price of used vehicles based on its features and usage details. Roles & Responsibilities:

• Read the data and checking missing values and unique values.

• Extracted the features to build the models using descriptive analysis.

• Exploratory data analysis, Visualization, looking for extreme high data, understanding relation between features.

• Creating dummy variables

• Identified the feature importance using machine learning models like Random forest, XGBoost.

• Experimented, evaluated the model with different regression algorithms and autoML.

• Algorithms Used: Random Forest, XGBoost.

Project:2

Problem Statement: Text Classification (Customer Dissatisfaction) Identify the served badly by the Providers based on the Member feedback DETAIL:

• Providing excellent customer service is a necessary component for the success of Molina healthcare provider it will improve member enrollment with various plans, so we used to get feedback from repository

• Performed ETL on the data (free text column) and made ready for text mining technique using

• NLTK, Stem, Text Blob, Regular expressions.

• Identified the major causes for Customer Dissatisfaction using the results. Business Impact: Follow up with members who has not satisfied with service due to bad service and shared to higher management to take necessary action to retain member Personal info:

Father Name : Brahmaiah

Address : House-175, Sathyavani Muthu street, Sharma nagar, Chennai- 600039

LinkedIn : https://www.linkedin.com/in/balu-vallem-88b632120 Languages Known : English, Telugu

Skype ID : live:.cid.e2f4dfea5bc38170

Date: (VALLEM BALU)

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