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CHIRANJEEVUDU NANDYALA

@chiranjeevudunandyala

Machine learning Engineer

Hyderabad, India

Rayalaseema University

Chiranjeevudu is a Machine Learning Engineer with 2 years of proven experience in predictive modeling, data processing, and natural language processing. He has hands-on experience leveraging ML and NLP models to solve challenging business problems. His expertise includes data mining, statistical analysis, and building various classification and regression models.

Experience

Machine Learning Engineer

Jan 2021 - Jan 2022

Involved in Requirement gathering and feasibility checks for various use cases. Participated in Data Cleaning, Data Preprocessing, and Data Visualization. Assisted in deriving key point indicators, EDA, missing values/outlier treatment, standardization, and clustering. Built baseline models and performed parameter tuning. Used models like KNN, Random Forest, XgBoost, achieving a highest accuracy of 92%.

Python Developer

Jan 2020 - Jan 2021

Involved in Requirement gathering with Data Engineer team, followed by data cleaning and data processing techniques. Worked on Basic Python Scripting and debugging of code.

Project Consultant

Mempage Technologies

ProjectHyderabad

Worked on PCI Project (Potential Customer Identification) with a Mortgage Lending Company, providing reports of behavioral analysis and identifying potential customers using various statistical techniques. Also worked on Twitter sentimental analysis.

Education

Rayalaseema University

Master of Computer Science

Jan 2020Grade: 78%

National degree college

Bachelors of Science

Jan 2018Grade: 76%

Licenses & Certifications

Intermediate Machine Learning Certification

Kaggle

• No expiration

Python core programming Certificate

Techgig

• No expiration

AI master class using python certificate

Pantech Solutions

• No expiration

Machine Learning certificate

Sololearn

• No expiration

Skills

Python
NumPy
Pandas
Matplotlib
TensorFlow
Keras
NLTK
Machine Learning
Deep Learning
NLP
Exploratory Data Analysis
Statistical Analysis
Data Cleaning
Data Visualization
Predictive Modelling
Regression Models
Classification Models
Tree Based Models
Bagging Methods
Boosting Methods
Clustering
Text Mining
Text Analytics
Vectorization
Word Embedding
Natural Language Processing
Predictive analysis
Outlier/ anomaly Detection
Data Preprocessing
Feature Engineering
Model Evaluation