I'm Ashritha

About

Passionate individual interested in data science and machine learning. Let's connect and explore how we can collaborate to make a real impact through data-driven solutions

Data Scientist / Software and ML Engineer

I'm a data-driven professional currently based in New York City. I recently graduated from Columbia University with a master's degree in Applied analytics with machine learning.

My passion lies in extracting valuable insights from data, and I'm committed to using that power to create meaningful solutions. Throughout my journey, I've had amazing opportunities to work on diverse software development projects. I've published papers on machine learning, built algorithms from scratch, and transformed innovative ideas into tangible products.

When I'm not coding, you'll find me pursuing my passions. Dancing is a huge part of my life, and I love exploring different dance styles. I'm also an avid traveler and enjoy thrilling adventures that push my limits. Spending quality time with my incredible circle of friends brings me immense joy and fulfillment. Oh, and I'm always seeking inspiration from books that broaden my horizons and ignite my creativity.

Let's connect and embark on a journey to make a remarkable impact together, using the power of data-driven solutions.

Resume

I'm a detail-oriented and problem-solving-oriented data scientist and ML engineer with a passion for making a real impact through data-driven solutions. With a strong foundation in computer science, data science and a dedication to innovation, I leverage advanced data analytics and machine learning techniques to unlock actionable insights and drive impactful solutions.

Sumary

Ashritha Shivakumaraswamy

Experienced software and machine learning engineer with a strong focus on innovation and meeting deadlines, 2+ years of hands-on experience in algorithm design and development, specializing in the conversion of data into valuable insights.

  • New York,NY,10027
  • ashritha6601@gmail.com

Education

Master of Science in Applied Analytics

2022 - 2023

COLUMBIA UNIVERSITY, New York, NY

Coursework: Anomaly detection, Supervised Machine Learning, Unsupervised Machine Learning, Managing Data, Storytelling with data, Natural Language Processing (NLP), Python for data analysis, Research Design, Strategy and analytics.

Master of Technology in Software Engineering

2018 - 2020

R.V. COLLEGE OF ENGINEERING (RVCE),Banglore, IN

Coursework: Anomaly detection, Supervised Machine Learning, Unsupervised Machine Learning, Managing Data, Storytelling with data, Natural Language Processing (NLP), Python for data analysis, Research Design, Strategy and analytics.

Bachelor of Engineering in Computer Science

2014 - 2018

JAWAHARLAL NEHRU NATIONAL COLLEGE OF ENGINEERING,Shivamogga, IN

Coursework: Anomaly detection, Supervised Machine Learning, Unsupervised Machine Learning, Managing Data, Storytelling with data, Natural Language Processing (NLP), Python for data analysis, Research Design, Strategy and analytics.

Professional Experience

Engineer II - Software & Machine Learning

2019 - 2021

Microchip Technology, Banglore, IN

  • Applied clustering & anomaly detection algorithms to large datasets of testlogs, revealing valuable patterns and trends for improved Automated Triage System accuracy
  • Automated preprocessing with data pipeline which optimized data preprocessing, exploratory data analysis (EDA), transformation & feature engineering tasks, to support machine learning and deep learning model training and testing, led to 50% reduction in data preparation time.
  • Collaborated with cross-functional teams to integrate the ATS with Tableau for interactive data visualization, enabling quick access to fault reports and actionable insights for relevant stakeholders.
  • Conducted rigorous hypothesis testing and model evaluation using appropriate statistical methods and evaluation metrics, ensuring the reliability and effectiveness of the algorithms employed within the ATS

Invenger Technologies

Feb 2018 - July 2018

Manglore,IN

  • Formulated SQL queries and stored procedures to extract large customer data, enabling custom reports & data-driven insights using Postgres.
  • Translated business challenges into algorithmic solutions, collaborating with cross-functional teams to optimize a smart shopping app based on customer demographic segmentation, resulting in a 7% increase in user engagement.
  • Streamlined data access by preprocessing and transforming data from various sources to build a centralized oracle data warehouse.
  • Constructed data-driven recommendations for product features, driving a 30% increase in product adoption and aligning stakeholders.

Contact

Location:

New York, NY 10027

Call:

+1(347)538-3545