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.

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    Photography

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

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

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