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AP

Ayushi Parashar

Open to work1 years experience

Data Scientist

Durg, ChhattisgarhTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Data Scientist with 1.5+ years of experience in ML and AI-driven applications.

GitHub

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Skills & Technologies

26 skills
pythonsqlc++pandasnumpymatplotlibseabornedastatistical analysisscikit-learnxgboosttensorflowpytorchfeature engineeringmodel evaluationtime series forecastingprompt engineeringgptgeminiclaudellm-assisted developmentmysqlmongodbgitjupyter notebookvs code

GitHub Activity Evidence

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Work Experience

Data Science Engineer

Neoperk Technologies

Dec 2025 - Mar 2026 Remote
  • Evaluated ML models using large-scale soil laboratory datasets through statistical analysis, regional validation, and model comparison.
  • Built Magnesium prediction models using EDA, feature engineering, and data augmentation to improve nutrient prediction reliability.
  • Analyzed structured agricultural datasets and contributed to two research publications.

Student Trainee - Analytics

Bosch Global Software Technologies

Jan 2025 - Jul 2025 Bangalore
  • Built Python-based analytics applications for industrial energy data using feature engineering, predictive modeling, and large-scale data analysis.
  • Designed secure data pipelines using Python and MongoDB for transforming, validating, and analyzing industrial telemetry data.
  • Leveraged Generative AI tools and prompt engineering to accelerate development, debugging, documentation, and workflow automation, saving over 100 development hours.
  • Collaborated with cross-functional product and engineering teams to analyze operational data and deliver optimization recommendations.
  • Developed forecasting solutions achieving over 95% predictive accuracy and enabling data-driven power purchasing decisions.

Projects

Crop and Fertilizer Recommender System

  • Built a machine learning recommendation system using structured soil, weather, and crop datasets through feature engineering and classification models.

Deepfake Detection

  • Developed a computer vision pipeline using CNN and EfficientNet-B0 to classify manipulated videos from extracted facial frames.

Lung Image Classifier

  • Built a CNN-based medical image classification model to distinguish healthy and diseased lung images.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

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AI Collaboration Score

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Role Compatibility Profile

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Achievements

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About Details

Professional Bio

Data Scientist with 1.5+ years of experience building machine learning solutions, analytics pipelines, and AI-driven applications. Skilled in Python, SQL, machine learning, data analytics, and prompt engineering with hands-on experience leveraging LLMs to improve development productivity.

M.Tech in Computer Science

IIIT Bhubaneswar (2023 - 2025)

B.Tech in Computer Science

Shri Shankaracharya Technical Campus (2019 - 2023)

Languages: English, Hindi