Rohith Reddy Nukala

(Data Scientist/ML Engineer)

Phone no: +91-800*******

E-mail : nukalar7gmail.com

Profile Summary

●Over 1+ years of profound experience as a Data Scientist/Data Engineer and Data Analyst Developer with excellent Statistical Analysis, Data Mining and Machine Learning Skills.

●Worked in the domains of Financial & Insurance Services and Healthcare.

●Expertise in managing full life cycle of Data Science project includes transforming business requirements into Data Collection, Data Cleaning, Data Preparation, Data Validation, Data Mining, and Data Visualization from structured and unstructured Data Sources.

●Hands on experience of statistical modeling techniques such as: linear regression, Lasso regression, logistic regression, ANOVA, clustering analysis, principle component analysis.

●Professional working experience in Machine Learning algorithms such as LDA, Linear Regression, Logistic Regression, SVM, Random Forest, Decision Trees, Clustering, Neural Networks and Principle Component Analysis.

●Working knowledge on Anomaly detection, Recommender Systems and Feature Creation, Validation using ROC plot and K-fold cross validation.

●Professional working experience of using programming languages and tools such as Python, SQL.

●Hands on experience in Amazon web services.

●Hands on experience of Data Science libraries in Python such as Pandas, Numpy, SciPy, scikit-learn, Matplotlib, Seaborn, Beautiful Soup, NLTK.

●Working experience in RDBMS such as SQL Server 2017.

●Experience in data visualizations using Python, Power BI.

●Deep understanding of software Development Life Cycle (SDLC) as well as Agile/Scrum Methodology to accelerate Software Development iteration

●Experience with version control tool- Git.

●Extensive experience in handling multiple tasks to meet deadlines and creating deliverables in fast-paced environments and interacting with business and end users.

TECHNICAL SKILLS:

Programming Languages: IBM SPSS Modeler, Python, Java, and SQL ( SQL Server).

Pandas, NumPy, SciPy, Scikit: Learn, NLTK, Spacy, matplotlib, Seaborn, Beautiful Soup, Logging, Pyspark, Keras and Tensor Flow.

Machine Learning: Linear Regression, Logistic Regression, Multinomial logistic regression, Regularization (Lasso & Ridge), Decision trees, Support Vector Machines, Ensembles - Random Forest, Gradient Boosting, X treme Gradient Boosting(XGBM), Deep Learning - Neural Networks, Deep Neural Networks(CNN & RNN) with Keras and Tensor flow, Dimensionality Reduction- Principal Component Analysis(PCA), and Information Value, Hierarchical & K-means clustering, K-Nearest Neighbors.

Cloud Technologies: AWS.

Data Visualization: Advanced Microsoft Excel, and Power BI.

Text Pre: Processing, Information Retrieval, Classification, Topic Modeling, Text Clustering, Sentiment Analysis and Word2Vec.

INTERSHIP

Shorewise, Toronto Canada June 2019 – Jan 2020

Data Scientist

Responsibilities:

●Experienced machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy.

●Experienced in implementing LDA, Naive Bayes and skilled in Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, Neural Networks, Principle Component Analysis, and good knowledge on Recommender Systems.

●Gathered, analyzed, documented, and translated application requirements into data models, supported standardization of documentation and the adoption of standards and practices related to data and applications.

●Responsible for identifying the data sets required to come up with predictive models for providing solutions for both internal and external business problems.

●Responsible for supervising the Data cleansing, Validation, data classifications and data modelling activities.

●To develop algorithms in python like K – Means, Random Forest linear regression, XG Boost and SVM.as part of data analysis.

●Proficient with a deep learning framework such as TensorFlow or Keras and libraries like Scikit-learn

●Implementation experiences in Machine Learning and deep learning, including Regression, Classification, Neural network, object tracking, Natural Language Processing (NLP) using packages like Tensor Flow, Keras, NLTK, Spacy.

●Understanding of data structures, data modeling and software architecture

●Good Hands on experience with AWS.

●Knowledge on working with Linux servers.

Environment: Python, Numpy, Pandas, Seaborn, SciPy, Matplotlib, GitHub, AWS, S3 and Jupyter notebook.

EDUCATION

Master’s in wireless Information Networking. Sep 2017 – April 2019

Fleming University, Peterborough, ON Canada

Bachelor’s in Electrical and Electronics Engineering. Sep 2013- May 2017

JNTUH University, Hyderabad, India.

CERTIFICATIONS

IBM SPSS Modeler

IBM Data Science.

Microsoft Power BI (Edureka)

AWS Solution architect.

Currently Training on AWS Dev-ops.

Contact this candidate