Azhakudurai K

M.Sc Data Science and Business Analysis

Address: Bommanahalli, Bengaluru, Karnataka- 560068 Phone: +91-853**-***** Email: ady7sw@r.postjobfree.com Education

M.Sc Data Science Business

Analysis

Sep 2021 - May 2023

Coimbatore,TN

B.Sc Information Technology

June 2018 - April 2021

Palani,TN

Links

LinkedIn: https:

//linkedin.com/in/

azhakudurai

GitHub: https:

//github.com/Azhaku

Skills

Programming Languages:

Python, R, Java, SQL

Data Analysis: EDA, Visual-

ization, Preprocessing

Machine Learning: Regres-

sion, Classification, Cluster-

ing

Frameworks & Libraries:

Flask, Scikit-learn, Pan-

das, Numpy, Regex, Plotly,

Seaborn, Apache Spark

Software: Jupyter, Pycharm,

Octoparse, Git, MS-Excel,

PowerPoint, Hadoop

Coursework

• Data Mining and Machine

Learning

• Big Data Analytics

• Natural Language Processing

• Time Series Analysis

• Statistical Analysis and

Modeling

• Cloud Computing

• Market Research Analysis

Interests

• Artificial Intelligence

• Exploratory Data Analysis

Certifications

Data Analytics GL

SQL Sololearn

R Programming Sololearn

Machine Learning Udemy

Profile Summary

Passionate graduate seeking a position in the field of Data Science. Proficient in machine learning and data analysis with a strong foundation in coursework and hands-on experience in various projects.

Projects

DIAMOND PRICE PREDICTION

PYTHON STREAMLIT July 2022 - Aug 2022

Developed a machine learning model to predict diamond prices based on various features. Achieved 92% accuracy and reduced prediction error by 15%. ASPIRING MINDS EMPLOYMENT OUTCOME

PYTHON STREAMLIT Aug 2022 - Sep 2022

Analyzed employment outcomes data using machine learning techniques to predict job place- ments. Achieved 80% accuracy in job outcome prediction. QUORA QUESTION PAIR SIMILARITY

PYTHON NLP STREAMLIT MLfLOW HEROKU Sep 2022 - Nov 2022 Implemented a machine learning algorithm to determine the similarity between pairs of ques- tions on Quora. Outperformed existing models with an F1 score of 0.85. CLUSTER-BASED MACHINE LEARNING FOR WAFER DEFECT DETECTION PYTHON SQLITE FLASK HTML & CSS Dec 2022 - Apr 2023 Applied cluster-based machine learning algorithms to detect defects in semiconductor wafers. Achieved 95% precision in defect detection, improving production efficiency. Project Link: https://github.com/Azhaku

Work Experience

Data Science Intern

Innomatics Research Labs Hyderabad, Telangana July 2022 - November 2022

• Developed innovative machine learning models and algorithms in collaboration with a team of data scientists.

• Applied advanced statistical analysis techniques and implemented machine learning algorithms to solve real-world business problems.

• Conducted data preprocessing, feature engineering, model evaluation, and data visualization tasks.

• Analyzed large datasets, extracted valuable insights, and provided support for decision-making processes.

• Implemented Continuous Integration and Continuous Deployment (CI/CD) pipelines to au- tomate the model deployment process and enhance efficiency. Achievements

• Second prize winner in the state-level conference on "Future of Information Technology" in March 2019.

• Attained a 5-star rating in Python on HackerRank, demonstrating proficiency in coding skills.

• Earned a 3-star rating in SQL on HackerRank, showcasing competence in working with relational databases.

• Conducted a seminar on data science for junior students at my college, sharing knowledge and insights.

• Obtained a distinction in Typewriting with a higher proficiency in English and a lower profi- ciency in Tamil.

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