About me

I am a computer science Graduate(grad'24) from George Mason University. I am a Data Scientist with a strong background in machine learning, data analysis, and data visualization. I have experience in developing machine learning models, data mining, and data analysis. I am proficient in Python, R, SQL, and have experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras. I have a strong understanding of data structures and algorithms, and I am passionate about solving complex problems using data. I am a quick learner, a team player, and I am always looking to expand my knowledge and skills in the field of data science.

Apart from my technical skills, I am also a good communicator and have experience working in a team environment. I have excellent problem-solving skills and can work under pressure to meet deadlines. I am a self-motivated individual who is always looking for new challenges and opportunities to grow. I am passionate about data science and am always looking for ways to improve my skills and knowledge in this field.

What i'm doing

  • mobile app icon

    Data Science

    Data Science expertise, turning data into actionable insights using machine learning and AI.

  • design icon

    Software Development

    Expert creation of tailored software solutions for web, desktop, and mobile platforms.

  • Web development icon

    Web development

    High-quality development of sites at the professional level.

  • camera icon

    Photography

    I make high-quality photos of any category at a professional level.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Worked At

Resume

Education

  1. George Mason University

    Aug, 2022 — May, 2024

    Graduate Coursework: Analysis of Algorithms, Data Mining, Machine Learning, Software Engineering, Component‐based Software Design.

  2. University of Hyderabad

    July, 2017 - Aug, 2022

    Graduate Coursework: Algorithms, Operating Systems, Databases, Software Engineering, Neural Networks, Pattern Recognition, Deep Learning, NLP.

Experience

  1. Data Scientist - George Mason

    July, 2024 — Present

    • • Crafted AWS database solutions and data pipelines using S3, RDS, and Lambda for seamless data storage, management, and ETL processes.
    • • Optimized Snowflake ETL pipelines for efficient data processing, integrating multiple data sources to enhance data-driven decision-making.
    • • Conducted data analysis and visualization with Python and Tableau, delivering actionable insights to support organizational strategies.
    • • Established connections between diverse data sources and data lakes, ensuring seamless data integration and accessibility across the organization.

  2. Software Developer Intern - 22nd Century Technologies Ltd

    May, 2023 — Aug, 2023

    • • Engineered a custom chatbot powered by ChatGPT’s API and constructed a Llama index from a collection of documents.
    • • Extracted and processed text from 100+ PDF and DOCX files, ensuring an accuracy rate of 95%.
    • • Utilized AWS Services such as S3, RDS, EC2, and DynamoDB for retrieving and storing data.
    • • Developed a machine learning API using FastAPI and deployed it on an AWS EC2 instance.
    • • Led a team in troubleshooting and optimizing text extraction, API development, and deployment processes, resulting in a 30% increase in overall efficiency.

  3. Data Scientist - Stylumia

    May, 2021 — June, 2022

    • • Developed an intuitive COVID‐19 prediction model for India’s third wave and visualized it using Tableau dashboards.
    • • Designed and implemented custom ETL pipelines, optimized inventory allocation, and refined pipelines for hyper‐parameter tuning of ML models on real‐time data, resulting in a 40% reduction in processing time.
    • • Developed time‐series models using modern frameworks, transforming data into actionable insights through forecasting and mod‐ elling future outcomes, which reduced the WMAPE from 30% to 23%.
    • • Earned the title of Employee of the Month for improving the interpretability of the demand forecasting algorithm using Tableau visualizations, resulting in a 25% increase in forecast accuracy and a 20% reduction in forecasting errors.

  4. Machine Learning Intern - Grroom

    Oct, 2020 — Dec, 2020

    • • Conducted image scraping, built models, and fine‐tuned them for object detection (Yolo) in the Fashion Domain, achieving high mAP from 56% to 86% and accuracy.
    • • Researched and implemented AWS cost optimization techniques for 10+ models, resulting in a 25% reduction in monthly cloud expenses.

Expertise

  • Web development
    80%
  • Full Stack Development
    70%
  • Data Science
    90%
  • Software Development
    70%

Portfolio

Research

Contact

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