ISHWARYA GOPI KANNAN

ad1i8s@r.postjobfree.com www.linkedin.com/in/ishukannan0406 316-***-****

EDUCATION

Master of Science in Computer Science GPA: 3.74/4 Fall 2021 – Spring 2023 Wichita State University, KS

Coursework: Machine Learning, Reinforcement Learning, Applied Data Science, Adv Algorithms & Analysis, Perspective of Data Science, AI for Robotics, Human Computer Interaction, Adv Topics in Data Storage. Bachelor of Technology in Information Technology GPA: 8/10 April 2017 – May 2021 Saveetha Engineering College, Anna University, Chennai, India TECHNICAL SKILLS

• Programming Languages: Python, SQL, R, HTML5, CSS, JavaScript

• Database/Cloud: MongoDB, SQL Server, Azure Data Factory/ Databricks, Azure Analysis Services, AWS

• Development and Tools: Visual Studio Code, Jupyter, Google Colab, RStudio, Chrome Developer Tools, Power BI, Tableau, Excel

• Frameworks: Scikit-Learn, Apache Hadoop, Apache Spark, TensorFlow, Apache Airflow, Apache Kafka, Apache Flink, Apache Storm, Pandas, NumPy, Matplotlib, Snowflake

• GUI ETL Tools: Informatica, Apache NiFi, AWS Glue WORK EXPERIENCE

Big Data Engineer Intern August 2020 – May 2021

Kaashiv InfoTech Chennai, India

• Modernized data streamlining process, resulted in redundancy reduction.

• Updated data warehousing techniques as data recall and segmentation, resulting in increased usability for non-tech staffs. Data Analyst Intern July 2019 – March 2020

UNIQ Technologies Chennai, India

• Performed data regression analyses between company prices and industry trends and web scraping techniques for data extraction.

• Applied MPP architecture in Azure Synapse Analytics to enhance querying and analytics performance.

• Attained a performance accuracy improvement of 29% compared to the preceding year. PROJECTS

Real Time Data Processing system September 2022

Leveraged Apache Kafka and Apache Spark for distributed data processing and event streaming, achieving 30% reduction in latency. E Commerce Data Warehouse March 2022

Leveraged Snowflake for scalable storage and retrieval, employing ETL processes, normalization, and query optimization for comprehensive and efficient business analytics.

Anomaly Detection in Cloud Servers January 2022

Implemented log aggregation, cloud service API integration, and advanced techniques like hash partitioning and schema mapping to ensure precise anomaly detection.

Email Spam Classification: October 2021

A spam filter using Logistic Regression, text preprocessing and feature engineering techniques with 92% accuracy. CERTIFICATIONS

• Certified in Amazon Web Services and Fundamentals on Coursera.

• Certified in Machine Learning Specialization by Stanford University on Coursera.

• AWS Certified Big Data – Specialty

• Google Cloud Certified - Professional Data Engineer

• Completed Applied Machine Learning Foundation and Algorithms on LinkedIn Learning.

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